Daily Archives: August 22, 2021

Extinction Rebellion targets City of London over climate role – The Guardian

Posted: August 22, 2021 at 4:04 pm

The City of London will be the target of a new round of Extinction Rebellion protests aimed at highlighting the role of high finance in the climate crisis, starting next week and carrying on for at least a fortnight.

Thousands of protesters are expected to take part in a series of actions in the City, details of which are under wraps. These will target businesses headquartered in the Square Mile financial district, and will include site occupations. There are no plans to disrupt public transport, as has occurred during some previous actions.

Extinction Rebellion said the protests would be joyous and have a celebratory air while highlighting the billions poured into fossil fuels and high-carbon activities by financiers based in Londons financial districts.

Businesses listed on the London Stock Exchange or financed from the UK account for about 15% of global carbon emissions, according to the activist group, and if Londons financial markets were a country they would be the worlds ninth biggest emitter of carbon.

Anneka Sutcliffe, an Extinction Rebellion member, said: We expect the protests to be disruptive. The focus will be on the City, where the power holders are.

She said at least 2,000 people had recently signed up to the group, and she estimated that nearly half of the protesters likely to take part were new to the movement.

Most employees in the City have been working from home throughout the past year owing to the Covid-19 pandemic, but many have been coming under pressure to return to the office.

The protests will start with a rally in Trafalgar Square on Monday morning, 23 August. This is the anniversary of the Haitian slave rebellion of 1791 and the international day for the remembrance of the slave trade and its abolition. XR said its events were also intended to show solidarity with people in the global south who are worst affected by climate breakdown.

Esther Stanford-Xosei, a co-founder of XRs International Solidarity Network, said: [The power of international finance in promoting fossil fuels] is the promulgation of Empire 2.0. We have the responsibility to hold governments and corporations to account, especially corporations registered on the London Stock Exchange. People in the global south have shown the way to live sustainably.

She said the aim was to show how the world could be changed by ordinary people coming together. We are not powerless you have more power than you think, she said. We are the collective power to be the change that we need.

The government and its management of Cop26, the UN climate talks due to be held this November in Glasgow, are also key targets. Jon Lynes, 93, a veteran of Extinction Rebellion protests which have often featured retired people who have said they have more freedom to take part in protests where they may be arrested said: This is a critical moment for our government to do something. But they have cut down overseas aid while increasing armed forces spending, and dithered over a coalmine in Cumbria and new oilfields. It is really a disgrace. This is why now is the moment [for protest].

Tim Crosland, of the pressure group Plan B, who was found in contempt of court for revealing early a supreme court ruling relating to Heathrows third runway plans, said: We are targeting the City because these are the kind of people who are the real contributors to this crisis.

He spoke out against recent claims by members of the Conservative party that reaching net zero emissions by 2050 the governments target, set out in law would cost too much money. Its embarrassing to claim that it is too expensive to save young people and our country and our planet. This is extremist ideology from some parts of the Conservative party, he said. They believe science will have to give way to the market, but it is not going to work that way, its the other way round. The economy will have to adapt to the science.

A City of London police spokesperson said: The City of London police is working closely with the Metropolitan Police Service and British Transport Police to appropriately and proportionately respond to protest activity in London over the next fortnight and a policing plan is in place. There will be a greater number of officers deployed to ensure balance between the right to protest and the rights of Londoners to go about their daily lives.

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Against White Publishing: The Limitations of Rafia Zakaria’s Against White Feminism – lareviewofbooks

Posted: at 4:04 pm

IN JUNE 2021, cycling for the first time to my London workplace in the tailwind of two national lockdowns, I indulged in noting the irony in a banner outside the British Library, advertising its exhibition Unfinished Business: The Fight for Womens Empowerment. The exhibition had been due to run until February 2021 but was extended in light of COVID-19 to run until August. As such, the show itself remained unfinished, yet the irony was more a function of the business implied. Among the pandemics exposures and amplifications had been the limits of Anglo-Americas mainstream feminist project. While feminism thus described is imagined as a story of linear progress, most womens lives in the last 50 years have only been getting worse.

It is true that the freedom to vote and the right to equal pay have been enjoyed by more than the class of women closest to men in the racial-capitalist order, yet the creaking of neoliberal infrastructure under the weight of the COVID-19 crisis has sounded of how women at the intersection of poverty and racialization are progressively trampled by austerity, privatization, and the degradation of labor. Meanwhile, in the Global South, climate change and Western wars have trashed the notion of womens lives as improving toward a point of equality. If feminism, as the dominant discourse would have us understand it, still looks like unfinished business, it is perhaps, as Rafia Zakaria writes in the opening chapter of Against White Feminism, because the women who are paid to write about feminism, lead feminist organizations, and make feminist policy in the Western world are white and upper-middle-class.

The feminism wrought in the interests of such women is, of course, one of selective liberation rather than genuine equality, a reformist approach to hierarchical systems rather than the dismantling our moment requires. Zakaria is not the first to inform feminist readers that interventions that simply add Black, Asian, or Brown women to existing structures have not worked. She is arguably, however, one of relatively few writers to have done so from within the existing structure of mainstream publishing. Much of her work as a columnist is split between the general audience for Pakistans Dawn newspaper and the somewhat more niche readership of the USs left-wing Baffler magazine. Against White Feminism, however, was sold by Zakarias agent to cater to the audiences of both W. W. Norton in the United States and multinational conglomerate Penguin Random House in the United Kingdom. The book attests to a hope that, while the inclusion of Black and Brown women in a hegemonically white media circuit will do nothing to divert its current, it may at least facilitate communication to the widest possible readership of precisely how and why this is the case.

The central four chapters in Against White Feminism function quite successfully in this project of explanation. In a section on the white savior industrial complex, Zakaria demonstrates how the notion of empowerment metamorphoses under the aegis of development from an index of bottom-up resistance to a vacuous incantation. In the 1980s, Indian feminist Gita Sen and the organization DAWN (Development Alternatives with Women in a New Era) inspire scholar-activists such as Srilatha Batliwala to define feminist empowerment as a process of transforming power relationships, one that requires a questioning of the ideologies that [justify] womens subordination. By 2015, however, Bill and Melinda Gates have become convinced that donating chickens to women in the worlds poorest nations will empower them (by making at best $100 a year from the eggs) to realize themselves in the model of the Western entrepreneur. Zakaria aligns such doltish, condescending acts of aid the tossing of chickens and sewing machines at women who have asked for no such bounty with the historic attempts of white suffragists to impose their agendas on the colonized. Indian womens voting rights come not with British largesse, but with freedom from British domination. Indeed, as Zakaria shows, the bargaining of white suffragists leaned everywhere on white womens claims to racial superiority over Black and Brown men. Allegedly empowering gestures of philanthropy, she observes, delink the current condition of women from colonial histories, global capital expansion, transnational investment, and the continued exploitation of feminine labor.

Western benevolence, moreover, is a typical pretext for war, the second of Zakarias empirical foci. Here, she relays the maneuver whereby Americas War on Terror has unrelentingly attempted to present itself as a project of womens liberation. Her delightfully unflattering portrait of securo-feminism, a term borrowed from Lila Abu-Lughod, describes the collusion of feminist discourse with neo-imperial attempts to establish American-style liberal democratic institutions abroad. Coupled with these chapters on NGO- and securo-feminism is another pair that also deals with the consequences of racial-capitalist, heteropatriarchal oppression. First, the ongoing sexual discipline of women from marginalized communities (juxtaposed with a white-feminist discourse of indiscriminate sex-positivity) and second, the racist narratives that circulate around honor killings and female genital mutilation both caches of stories that muffle the capitalist-colonial origins of violence against women whose lives do not conform to the institution of the bourgeois nuclear family.

Yet terms such as bourgeois and nuclear are not Zakarias. The specific intersections of capitalist class relations with those produced by colonialism are not her primary concern. Perhaps the author believes, and she is largely correct, that the scenarios she profiles speak for themselves, indicating a complex system the reader can grasp as whiteness without the need for that systems precise description or analysis. The six discursive chapters that frame the central four, however, offer a different impression. Rather than designating historical engines of privilege-production, whiteness, in these opening and closing sections, is rhetorically cast in near-exclusive terms of white womens privileged behavior. A white feminist, Zakaria writes in her opening lines, is someone who fails to cede space to the feminists of color who have been ignored, erased, or excluded from the feminist movement. To be a white feminist, she goes on, you simply have to be a person who accepts the benefits conferred by white supremacy at the expense of people of color. The story begins in a wine bar where we encounter a group of women whose concession of space to Zakaria is found wanting. The book concludes with the authors desire for this tendency to give way to something altogether more inclusive.

It is odd that, while the kernel of content in this book is formed around a structural critique one that would appear to demand a very specific political response it comes to us cushioned in an equal bulk of light, fleecy padding that draws the attention pleasantly away from such partisan concerns. I want to be able to meet at a wine bar, Zakaria writes, and have an honest conversation about change. It is surely a reasonable wish, but a minimal demand. Zakarias central, well-researched chapters are framed on one side by a series of encounters with obnoxious white women; and on the other by a call to action that reads as an incitement to better etiquette. Despite brief gestures at white supremacys deep political roots, these chapters call for us simply to excise unpalatable behaviors.

The glee to be taken in consuming these vignettes is seemingly harmless in nature. They surely represent, if not whiteness itself, its ugly instantiations. Who really suffers from such writing other than exploiters of the suffering of others? Or those who have wrought that suffering directly through their arrogant or ignorant deeds? And yet, there is something slightly off in this pleasure; something about the book that makes for an uncomfortably comfortable read. It wouldnt be hard for the cheery liberal, perhaps one with red or brown hair, to imagine she is more enlightened than some of these insufferable blondes; to view subscription to whiteness as a matter of pure sensibility; to suppose rejecting complicity might be simple as sitting down.

Occasionally the project of rhetorical excision gets out of hand, the iconoclastic urge appearing to overwhelm critical honesty. In an early chapter oddly entitled Is Solidarity a Lie? Zakaria turns her scalpel on Simone de Beauvoir. De Beauvoirs goal in the The Second Sex, she writes, is simply this: to carve out for women the position of the universalizable and generalizable subject. But in comparing women to others, she goes on, who include Blacks [sic] and Jews [sic], de Beauvoir reveals herself to be thinking of women as only white women. Referencing Beauvoirs theoretical linkage of race, class, and caste as comparable forms of exploitation, Zakaria infers that she thus sees each of these as discrete systems of oppression that could be compared, but did not overlap. This conclusion is drawn from The Second Sexs introductory paragraphs, in which Beauvoir, rather than concerning herself with whether solidarity is a lie, sets out to ask how it is that solidarity among women has been systematically repressed. If [women] belong to the bourgeoisie, Beauvoir laments in her introduction, they feel solidarity with men of that class, not with proletarian women; if they are white, their allegiance is to white men, not to Negro [sic] women. Rather than denying any possible intersection of identity categories, Beauvoir seeks to unearth the (intersecting) systems that produce such categories in the first place.

When Beauvoir suggests that women, unlike Black and Jewish populations, are unable to trace their oppression to a single historical event, Zakaria again infers the exclusion of Black and Brown women from the philosophical category essentialized. Of course, Beauvoirs landmark legacy is the statement that woman is not an essential category, but rather an idea constructed. Her reference to womens lack of a coherent narrative of oppression is not an insistence on woman as essentially white, nor on any notion that womens oppression could not be historicized. It is instead a characterization of the distinctly capitalist illusion that womens subordination is somehow organic.

Beauvoir brings into view womans inorganic construction as a set of social processes irreducible to mere psychology. By contrast, in framing lack of solidarity as a question of pointed lies, Against White Feminism points to various social-psychological ills: the cult of relatability; the cult of individualism; the mythology of the self-made [white] superwoman, who is cynically clever and egoistic. We can attribute these ills to paranoid beliefs, and to the territoriality of older white feminists in particular. The introduction of a different kind of authority, writes Zakaria, is seen as a threat to the legitimacy of [white womens] contribution to womens rights as if feminist thought and praxis is a zero-sum game, with one kind of knowledge supplanting the other. These accounts of motivated reasoning are entirely plausible, yet are useful only in the context of engagement with certain structuring truths. Most important, under neoliberal capitalism a system whose central organizing principle is competition the truth that most everything, whether we like it or not, is zero-sum. As such, a more interesting question than why white women can be so defensive is the question of why, until directly challenged, they see no wrongdoing to defend. Marx described capitalist ideology as shaping a material world where, to the bourgeois mind, exchange value comes to look like the only kind of value. Similarly, as Beauvoir points out, the social processes through which the figure of woman is made and debased are obscured by a social order that everywhere affirms the natural supremacy of men.

Beauvoirs theory of change in the face of womens systematic division had a lot to do with the theory and principles of socialism. It is a term that appears only once, in passing, in Against White Feminism, a book that invokes the political 93 times and politics 62. Perhaps we are to understand this lacuna in light of the corrupted regimes with which Beauvoir in particular was aligned (Stalinism, for one, and Maoism for another). Yet nor does the idea emerge in relation to histories of Black feminist organizing, which, had they been included, would have spoken to so many of the books central concerns.

Take for instance, the significance of intersectionality. Women of color, Zakaria writes, are affected not simply by gender inequality, but also by racial inequality. A colorblind feminism thus imposes an identity cost on women of color, erasing a central part of their experience and their political reality. This understanding of the intersectional, derived by Zakaria from the writings of legal scholar Kimberl Crenshaw, is notably distinct from the related concepts suggested by Black socialist and communist feminists long before Crenshaws coinage. The triple oppression advanced by activist Claudia Jones theorized not so much the intersection of racial and gender designations, but rather how capitalism deploys the intersecting systems of racism and patriarchy to divide the entire working class. The cost to Black women here (as women, as Black, as workers) is more than one of mere identity.

The reference, moreover to political reality as a matter of pure experience is more than just an oversimplification. It is a framing determined to avoid demanding that the reader hold certain commitments. [E]xperience engenders politics, we learn; we must revitalize the political such that we draw in women whose stories and politics are presently invisible. Experience is indeed vital to the formation of political ideas, yet in this elision of politics and backstory, ideas begin to recede. What matters becomes not what the politics are, merely that they are seen. As such, Zakarias issue with one particular NGO has less to do specifically with neoliberal politics than with failure on the part of its workers to capitalize on [Colombian womens] political identities. Zakaria does briefly get behind the idea of specific political claims, yet she does so without insisting that these claims be transformative or coherent. Resilience, caution, and endurance thereby emerge as her feminist values of choice, not because they reckon with any of the systems predicated by whiteness, but rather because they are shown by certain women of color. They are also, given their relative ideological neutrality, conveniently marketable terms. Individuality, meanwhile, is described as an antidote to politics and solidarity. The strange suggestion that politics might be a kind of poison aside, this statement equally strangely suppresses the politics of capitalism itself.

Antiracist socialist feminisms are concerned with the rejection of the social and cultural arrangements that structure womens oppression: racial capitalism; heteropatriarchy; the carceral imperialist state. These are feminisms cognizant of how, while the abolition of whiteness will not directly follow from the abolition of capitalism and its disciplinary and divisive apparatus, each abolition is a necessary condition of the other. For some white women, alignment with a political project such as this requires a commitment to a collective struggle at odds with their class interests. This is not the same as an individual act of disavowal. White and Western charity donors will eagerly donate money, Zakaria writes, but they will not give up the cheaply produced fast fashion that is sold by major American brands. It remains pragmatically unclear whether such a giving up refers to a consumer choice, to organizing for the overhaul of garment industry dynamics, or to dedicating ones life to a horizon on which exploitative industry would cease to exist. The white liberal reader most likely extends a finger to delete her ASOS app before she is whisked into the next short chapter on a slipstream of affirmative prose.

In order for a better feminism to occupy the popular imaginary, it is indeed necessary, as Zakaria suggests, for powerful white women to eschew territoriality and let go of individual egoism. This, she declares, and admittedly to heart-warming effect, will help us to forge an authentically constructed solidarity. The interests of capital, however, necessarily divide and rule, and it is therefore perhaps unsurprising that solidarity under capitalism is not so readily forthcoming. Authenticity is no more a source of social cohesion than it ought to be its horizon. Like selflessness, solidarity must be built and renewed through sustained political struggle. Feminists must ally with labor unions, migrants and anti-imperialists, radical environmentalists and anti-militarist groups to begin to envision any kind of post-capitalist society. Through direct action and movement politics, coalitions such as these must seek the most expansive transformations.

A post-capitalist society is not, perhaps, at the top of the imagined white readers wish list as she strolls to her local bookshop to educate herself either in feminism or in race. As such, the reader of this book is pulled into an awkward tug of war. Its vital political histories and powerful critique come to us enclosed in the trade nonfiction folds of keyword-heavy flattery. As Baldwin famously wrote of Everybodys Protest Novel, we receive a very definite thrill of virtue from the fact that we are reading such a book at all. As Zakaria herself points out, to stand for something inherently means that some will choose not to stand with you. It is hard not to wish that publishers were willing to take such a risk.

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Brooklyn Nine-Nine splits the difference with a novel premise and a tired one – The A.V. Club

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Blue Flu

Brooklyn Nine-Nine was bound to have a clumsy re-entry upon its return to a post-2020 television landscape. The NBC years were already occasionally hamstrung by didactic political dialogue and wink-wink references to the zeitgeist that mostly reassured viewers of the shows progressive worldview. This isnt a bad move, per se, or at least it doesnt have to be. Every character basically says the right things (and its obviously better than spewing reactionary rhetoric), but more often than not, these ideas were awkwardly integrated into the action, so it barely lands as drama let alone comedy. It mostly serves to demonstrate that the Nine-Nine are the good guys and nothing more.

Naturally, this is a dicey impulse for a sitcom about cops during a time of heightened awareness around systemic racism, police brutality, and the defund/abolition movements in the wake of George Floyds murder. There was no possible way for Brooklyn Nine-Nine to please everybody, and thankfully it doesnt really try. But after the relatively exposition- and speech-heavy premiere that tried to do too much in the way of lip service and hedging, Blue Flu features a premise that integrates Brooklyn Nine-Nines political consciousness into a novel episodic premise thats funny and compelling. Its a good example of a show adjusting to The Times without getting bogged down in defensive anxiety.

After a uniformed officer plants a dead mouse in a burrito as a publicity stunt to shore up sympathy for law enforcement, the Nine-Nine struggles to maintain readiness when every officer in the precinct stages a mass walkout under false medical pretenses. Captain Holt splits the team into three groups (under a belabored trident analogy that Jake immediately tries to undermine by commenting that Aquaman wields a five-pronged trident): Jake and Boyle set out to prove that the officers doctors notes are fraudulent; Amy and Terry are assigned to keep crime down with no police on the street; and Rosa, being an outside investigator, is tasked to find evidence that the mouse was planted. Meanwhile, Holt must keep Frank OSullivan (John McGinley), the nasty patrolmens union president, at bay before hes forced to cave to his humiliating demands.

Simply put, Blue Flu provides the entire ensemble with their own story that plays to their comedic strengths. Terrys stomach-bug fiasco allows Terry Crews to flex his tough-guy act while also playing feeble. Boyles cancer scare gives Joe Lo Truglio the chance to wallow in terror and misery. Andy Samberg and Melissa Fumero successfully play straight against their characters chaotic situationsBoyles mortality and a sea of Hitchcock and Sullys sent by other captains as a false token of good will, respectivelyand Andre Braugher plays the hits. (Rosa barely factors into the episode, but Stephanie Beatriz plays up her restrained glee at potentially discovering the nature of Holts secret tattoo very well.) After eight years, a show like Brooklyn Nine-Nine knows its strong points fairly well, and watching the cast hit their marks within their wheelhouse has its own pleasures.

However, its elevated by a premise that does a little more than pay lip service to bad cops are bad, etc. Holt and co. are beset by institutional inertia buttressed by ideological rigidity. In his drunken, cheese-riddled state, Holt devises a fresh strategy: he shows OSullivan weekly stats that illustrate fewer police didnt raise rates of major or violent crime, which means the Nine-Nine could serve as a case study for how a police force can work more effectively with fewer police. This scares OSullivan into calling off the blue flu and getting every uniformed cop back to work, but the subtext is damning: the threat of even the slightest positive change that hinges on police absence will force the return of an unproductive, dangerous status quo. That Brooklyn Nine-Nine would rather button Blue Flu with a tattoo gag than underline that idea is a point in its favor.

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Unfortunately, the second episode this week features a tired premise around work/life balance and having it all thats been done better many times before. Jake and Amy struggle to parent their son, Mac, while maintaining the pressures of their respective careers. For Jake, its an opportunity to catch a serial killer that has evaded capture for his entire career, while Amy is set to give a presentation to One Police Plaza for a reform proposal thats suddenly become highly competitive. When Macs daycare shuts down for a couple days due to a lice outbreak, it stretches the new parents to the brink as they try to care for their son and their career.

Its pretty easy to see where this is going. Jake and Amy learn that career sacrifices have to be made in order to be attentive parents and that doesnt have to be a major tragedy. Though Jake doesnt get to make the arrest, Jake helps Boyle uncover the killers identity and instead gets to watch his son pull himself for the first time. Meanwhile, Amy misses the milestone but successfully convinces her bosses to fund her reform proposal. This stock premise would be fine if the jokes were stronger, but aside from a quick scene of Jake and Amy realizing that their lice home remedy (maple syrup in the hair) has led to a swarm of ants in the bed and a montage of terrible babysitter applicants that includes a cheerfully abusive male Mary Poppins, its a bit of a dud.

The B-plot fares slightly better. Holt, still separated from his husband, moves into Rosas apartment, but he drives her crazy by constantly talking about Kevin. When Rosa suggests getting very drunk to take his mind off his marital problems, Holt sends a dick pic to Kevins email address in the wee hours of the morning, sending them both on a mission to break into his house and delete it. Again, another stock premise, but its improved by Braugher and Beatriz, who have proven time and time again to be an excellent duo, playing off each others restrained, yet easily flappable energy pretty well. Sometimes performances raise material and sometimes material confines performances.

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Afghan women fear for their rights and safety as Taliban reclaims power – Independent Australia

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The Taliban's rise to power is likely to mean the abolition of women's rights in Afghanistan, writes Johanna Higgs.

I ASK Aclassroom full of young women in the small town of Iskashim, Afghanistan:

"What are your dreams?"

"I want to be a doctor,"says one girl. I want to be a doctor too, says another.

Another girl says:

"I have lots of dreams, but I dont think that any of them are possible."

"But what are they?"I ask.

She answers:

"I want to travel, see the world and be a doctor."

I was in the classroom of a small English school, with a group of young women who were there to study English. I wanted to learn more about the situation of womens rights in Afghanistan and what Afghan men and women had to say about it.

I crossed the border from Tajikistan into Afghanistan and it was like stepping into another world.

It felt extraordinarily remote and the contrasts in the style of dress of both men and women from those in Tajikistan were dramatic. The beauty, however, was staggering. Nestled by a small river on the border with Tajikistan, the village was surrounded by huge snow-capped mountains.

Goats wandered through the village and the call to prayer sounded out over the valley throughout the day, a reminder that we were in the Islamic Republic of Afghanistan.

Despite the majesty of the surroundings, there was a strong sense of unease. The dusty streets were filled with mostly men who were garbed in traditional Islamic clothing. The few women that I did seewere covered from head to toe in the traditional blue burka with nothing of them being seen at all.

The highly conservative nature of the country was obvious and as a woman walking alone in the street.

It felt very, very hostile.

At this time the Taliban, I was told, were just 30 minutes away and while they had not attempted to take over for some time and the village was under the control of the Government. The people that I was able to speak with were worried. They were tired of the constant threat of war and wanted peace and stability.

So as I watched in horror as the Taliban entered Kabul and tookover the Presidential Palace, I wondered what was going to happen to the dreams of these young women that I had met in that village that day.

What were the chances now that they were going to be able to achieve their dreams of becomingdoctors and travelling the world?

Even at that time in Eishkasheim, the level of conservatism, and the difficulties facing women and girls as a result of thatconservatism, was something I have never experienced before.

I heard stories of women being forced into marriage as children;of extreme violence against women such as cutting off womens body parts and acid burning; and of fear of returning to the very harsh lifeunder the Taliban.

Even before the takeover of the Taliban, Afghanistan has long been considered one of the most dangerous countries in the world for women. According to the Thomson Reuters Foundation, Afghanistan is the second most dangerous country in the world for womenafter India.

The danger comes from the highly patriarchal cultural norms and customs, as well as the extreme interpretations of the Islamic religion have been used to subjugate women and perpetuate cycles of violence against them.

Violence against womentakes place in both the public and the private sphere and is usually perpetrated by relatives and has been reported to bewidespread. It can include domestic violence, sexual harassment, early and forced marriages, honour-based crimes and baad, the exchange of girls for dispute resolution and baadal exchange marriages.

Girls are also often prevented from going to school. That was something the young women I met at the school that dayfelt was a serious problem.

One young woman in the classroom explained:

"In Afghanistan, tradition says that women and girls should just stay at home, not go out, work or be educated."

When I asked them how they felt about that, they went quiet for a moment, again seemingly reluctant to share their views.

However, one young woman eventually spoke up:

"Women and girls should be able to go to school."

Gradually, all of the girls in the classroom agreed.

One of the girls said:

"I want things to change. But its going to be difficult."

For one woman working with the Council of Women, she said that the widespread violence against women and girls in Afghanistan had much to do with education.

She explained:

If people are educated, then they will think that violence against women is wrong. However, there are some people who think that violence against women is okay. In areas controlled by the Taliban for example, the opinion is much more towards accepting of violence against women. In Waduj, where the Taliban are, if I tried to work near there, I would be killed.

Though she said that it seemedthe situation was improving.

Now that the Taliban have taken over, what is going to happen to the rights of women and the positive changes that have been made in other parts of the country?

What will happen to the movements made to get girls into school and universities and the growing number of women entering into Afghanistans Parliament? What will happen to the dreams of those young girls?

While the struggle for womens rights in Afghanistan has always been a significant challenge, there is no doubt that with the Taliban takeover, these incredibly important strides that women have made are going to regress.

Violence, blatant discrimination, restrictions on freedom of movement and prohibitingwomen frommakingtheir own choices will no doubt return.

The international community, including Australia,must immediately speak up for the women and girls of Afghanistan.

We must speak up because when a young girl dreams of becominga doctor or travelling the world, this is something that should be able to become her reality.

We must speak up and insist that the Taliban uphold womens rights not just because this is what is right but because all young women and girls everywhereshould always believe that their hopesand aspirations can be fulfilled.

Johanna Higgsis an anthropologist and founder ofProjectMonMa, which advocates for womens rights around the world.

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Forced to flee their villages for revolt against a caste custom in Puri, Dalit families head back – The Indian Express

Posted: at 4:04 pm

In Puri districts Nathapur village, a barren patch of land, with scattered bamboo houses walls plastered with mud, with an outer layer of coconut leaves and roofs thatched with tarpaulin sheets to shield from rain is now home to 40 families, trying to build their lives from scratch. The families, belonging to the Dalit community, who once led a content life in their village, 20 km from here, were driven away from their houses for allegedly refusing to obey the diktats ordered by upper-caste villagers.

Their home, Brahmapur, a settlement on an island in Chilika, now seems like a distant dream. As per custom, members of the Dalit community were expected to carry the palanquin in wedding processions of upper-caste families and escort the groom or bride around the village, in return for a meal at the wedding. In 2013, young men from the community refused to carry the palanquin. What followed, eventually drove them out of their own homes.

After we refused to carry the palanquin, our access to fish in Chilika was prohibited. For ages, our source of livelihood has been fishing and all of a sudden we were denied our rights of livelihood. This led to the first-ever migration from our community in our village. Young men just out of school started migrating to Chennai, Bengaluru to search for work. Others started working as farm labourers in nearby villages, said 33-year old Sangram Bhoi.

In February 2021, a major brawl between the communities ensued after a 25-year-old man from the Dalit community, in an inebriated state, reached the village to buy sweets from a hawker and was confronted by upper caste men for his drunken state. Following this, a new diktat was ordered and members of the Dalit community were prohibited from entering the village, from carrying out any procession or inviting their relatives to the village. The ration shops were permanently closed for them, access to the only potable well and the village pond for bathing and washing clothes was denied and they were not allowed to ferry in the boats, the only access to the mainland from the small island hamlet.

Their only condition was that we start carrying the palanquin again but with no remuneration. Our generation and the generation after is getting educated. We are trying to redefine ourselves and move ahead, be more aware and stand up for rights. How could we agree to a regressive practice again that would put us back in the position from where we wanted to rise? Sangram said.

Janak Jena, an upper-caste member, reacting to the allegations said, The allegations are not true. They have raised objections to us entering their areas but expect us to be ok that they will fish from Chilka and rob us of our livelihoods. They own no land which is why they have been imposing themselves on us.

The community members claim that despite repeated pleas with the administration, there has been no solution in sight. When contacted Puri District Collector, Samarth Verma said that an enquiry into the matter has already been initiated. The issue is caste-based and also livelihood-based. We have held consultations with the villagers and are looking into the matter. We expect to resolve the matter soon.

Sangram with the support of other young Dalit activists from the entire district, is now putting up a fight to reclaim their right to live in their village. Like Sangram, in the recent past Puri has witnessed a lot of young members of the Dalit community, and other backward castes, associated with various organisations or working individually, but together creating a network, looking for such families driven out of their villages and trying to bring them back.

A lot of people fear that if they return to the village, they will again be subjected to violence, threats and social boycott. We wish to create a safe place for them within their village, which is rightfully theirs. A lot of families are more than willing to return to their village and lead a life of dignity. It will only be possible if we as a community stand together, said Dibakar Barik, 35, another youth activist. Dibakar and his family were themselves driven out of their village two decades ago after his father refused to follow norms established by the upper castes.

I am a graduate, my brother is also studying well, and my sister is a journalism graduate. My father knew that if he wanted his children to pursue and become what they wanted to, he had to give up obeying orders and leading the kind of life he led. Because we had to leave behind our village, a bag full of memories from the place we were born in, I understand the pain that these families go through, when driven out of their own villages for trying to lead a life of dignity, Dibakar said.

Amongst the families which Dibakar is helping to return to their village, is Maheshwar Bariks family who were driven out of their house in March 2019, their houses vandalised. Members of the barber (barik) and the washerman community (dhoba), who fall under the Other Backward Castes (OBCs), continue to face social ostracism for refusing to abide by the age-old bartan system or jajmani system, wherein the members of these communities were expected to be of service to the upper caste, either free of cost or in return of 12-15 kgs of rice a year.

After the Bonded Labour System (Abolition) Act, 1976, enquiries were initiated after 2010 into these cases and after thorough enquiry nearly 2,200 people from Puri were awarded a release certificate from the bonded system. Over 2,500 others are still waiting for their release orders.

In 2013, we received a release letter from the administration, we were no longer bound to work in return for paddy. But all these years, there was no peace. We had nowhere to go; so we stayed in the village, but time and again we faced social boycott. In March, our house was vandalised as we continued to refuse to work so we left our village, Maheswar said. Maheshwars family was one amongst three driven out of Manapur village. The familys bondage to the upper caste families involved washing their feet, cutting their nails, picking up leftovers, cleaning a place before and after an event, among other trivial tasks. Maheshwar along with nearly 20 other such families were staging a dharna outside the collectors office last Friday.

There are over 100 such families who wish to return to their respective villages. They can claim what is rightfully theirs only when they are well aware of their rights. Many of them out of fear do not even approach the officials. But we have been trying to apprise them about their rights, about the laws which can protect them, so they can fight for themselves. Education will always play an important role in uplifting them, Dibakar said. For most Dalit and OBC families, such forced migration over decades has rendered them landless, eliminating any prospects for entitlement under housing schemes or even cyclone relief assistance.

Responding to such instances, the Puri collector said no such incident has been brought to his notice. If anyone is being asked to leave their villages or is being discriminated against even after possessing the release certificate, they can approach us and necessary action will be taken. So far, no such information has come to me, Verma said.

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Fact Check-Black Lives Matter and Antifa did not disappear after the election – Reuters

Posted: at 4:03 pm

Users are falsely claiming that Black Lives Matter and Antifa have disappeared or been laid-off, implying that the groups were hired for the 2020 presidential election. There is no evidence to support this.

Examples can be seen here and here .

The text in one post reads: Has anyone heard from Antifa or BLM lately or, were they laid-off after the election?

Reuters Fact Check previously debunked the claim that both groups disappeared in March 2021 (here). These claims echo conspiracy-linked narratives that Antifa and BLM are not real movements, but actors or a faade for greater occult forces.

The summer of 2020 saw the United States biggest protests for racial justice and civil rights in a generation, giving a global profile to the BLM movement. The protests were sparked on May 25 by the death of George Floyd, a Black man who was killed after a white police officer knelt on his neck for nearly nine minutes here .

Since then, the group has been active on social media twitter.com/Blklivesmatter , here and here . There have been news updates on its website blacklivesmatter.com/news/ .

Examples of Black Lives Matter protests, rallies and demonstrations that took place since March can be seen in Reuters photographs here , here , here , here and here .

Antifa is an amorphous movement whose adherents oppose people or groups they consider authoritarian or racist, according to the Anti-Defamation League (ADL), which monitors extremists. Antifa aims to intimidate and dissuade racists, but its aggressive tactics, including physical confrontations, can create a vicious, self-defeating cycle of attacks, counter-attacks and blame, the ADL said here .

The group has also not disappeared since the election or since March 2021, when Reuters last addressed these claims.

Antifa protesters clashed with the proud boys group in Portland, Oregon on Aug. 7, 2021 at a gathering hosted by anti-LGBT and anti-COVID pastor Artur Pawlowski, as reported by Insider here and the Portland Tribune here .

Two anonymous members appeared in an interview with ABC News earlier on May 5, 2021 here to discuss violence and protests in Portland.

False. Black Lives Matter and Antifa did not disappear or get laid-off after the 2020 presidential election.

This article was produced by the Reuters Fact Check team. Read more about our fact-checking work here .

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Letters to the Editor: No, LAPD, it wasn’t ‘Antifa’ that protested anti-vaxxers – Los Angeles Times

Posted: at 4:03 pm

To the editor: One must really try not to giggle at the Los Angeles Police Departments use of the term Antifa to describe people who showed up at Los Angeles City Hall on Saturday to protest against a group of anti-vaccine and anti-mask demonstrators.

Antifa is not an organization. It is a concept, even a trend at times, but there are no meetings, no rosters, no dues or fees and no secret handshakes.

This lack of serious intelligence by the LAPD is astonishing. Who gives these people a gun and badge? Santa Claus, the Lone Ranger and the Bogey Man all have more standing in reality than antifa.

The LAPD would have us believe that it is an organization. How embarrassing.

Robin Doyno, Mar Vista

..

To the editor: Can we please call anti-vaxxers what they truly are virus lovers?

By refusing to get a vaccine or wear a mask, they signal their desire to keep the coronavirus around so it can kill people, destroy the economy, put companies out of business and wreak havoc on everyones life. They do this under the false flag of freedom, a word with no fixed definition.

This pandemic wont be over until everyone gets in the fight, and Im not talking about the one on City Halls steps.

Nancy Zaman, Beverly Hills

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Jason Aldeans wife wont shy away from politics amid belief her followers are afraid of cancel culture – Fox News

Posted: at 4:03 pm

Jason Aldeans wife, Brittany, is hoping to be a voice for people who feel they cant share their political opinions out of fear of online retribution.

The wife of the country star has been politically outspoken on her social media many times in the past, often leading to controversy and debate among her followers. However, she revealed recently that her ability to speak out publicly has actually helped a number of her followers who reach out to her privately.

When the 33-year-old mother of two conducted a question and answer segment on her Instagram Stories on Thursday night, she was confronted with the question, "What helped you be more open about your political views on here when most people don't agree?"

Thats when she noted that she gets more private support in her DMs for her politically charged posts than her followers may realize, and certainly more than they can see publicly.

JASON ALDEAN RESPONDS TO CRITICISM OVER MASK-FREE DISNEY PICTURE: 'CHILL OUT'

Jason Aldean's wife, Brittany, opened up about sharing her political views on social media. (Jeff Kravitz/FilmMagic)

"I personally don't give a damn if people don't agree with me. I think it's important now more than ever to stand for what you believe, even if it 'goes against the grain.' Do your research, and form your own opinion - speak out if you wish. But most importantly, don't bully people who feel differently than you," she added.

While her public-facing social media may be a hotbed of political debate among her fellow Republicans and her Democrat followers, it seems Brittany Aldean gets enough support from DMs to keep her not only engaged politically but fighting for those who feel cancel culture has stripped away their voice.

In fact, her comments echo those she previously made after catching immense backlash from supporters of Joe Biden around the time of the 2020 presidential election. She posted a video at the time showing off her blue sweatshirt with Donald Trumps name on it next to an American flag with a caption that reads "... STILL MY PRESIDENT."

She followed that up with a note explaining that the backlash on her page led many to privately message her their support for Trump. She explained then, as she did last week, that she plans to keep speaking up for people who can't for fear they'll lose their job or status in their community simply for voicing pro-Trump or pro-Republican political views.

"I WILL CONTINUE TO SPEAK. FOR THE PEOPLE THAT MESSAGE ME AND ARENT ABLE (FOR FEAR OF LOSING BUSINESS OR FRIENDS) IT IS DISGUSTING TO ME THAT FREEDOM OF SPEECH APPLIES TO EVERYONE BUT REPUBLICANS," she wrote.

The follow-up post included a heart sticker that reads "you are not alone."

However, her decision to speak out and voice her political beliefs got her into a bit of disinformation trouble when the Jan. 6 riot at the U.S. Capitol took place. On Jan. 6, supporters of former President Trump gathered in Washington, D.C., in a demonstration that led to riots in which hundreds of people breached the security at the U.S. Capitol building while the Senate was voting to certify then President-elect Bidens electoral college votes. Some people died as a result of the riots.

JASON ALDEAN AND BRITTANY KERR 5-YEAR WEDDING ANNIVERSARY

Brittany Aldean is often outspoken on behalf of fellow Republicans on social media. (Getty Images)

Brittany shared her thoughts on the matter at the time with a repost of an image that made the since-debunked claim that two of the men who breached the Capitol building were not protesters for Trump, but members of Antifa. The Associated Press has since deemed claims that any known Antifa members were present at the Capitol Wednesday as false.

According to Rolling Stone, Instagram removed the image, prompting Aldean to take to her Instagram Story to complain about being censored.

"Instagram wanted me to know that it was against their guidelines to post," she said in a video at the time. "Its getting so ridiculous the filters you put on everyone thats against your narrative. Its unbelievable and its ridiculous. Its just really sad what this worlds coming to."

She further called for unity in her Story from the Sunday after the riots.

"Apparently freedom of speech doesn't apply to everyone and that's the issue I have. I have AMAZING conversations with my liberal friends and we can agree to disagree. It's the people that aren't willing to hear you that chap my a--," she said.

Despite the backlash and controversy over her opinions on the 2020 election and the Jan. 6 riots, Aldean remains undeterred. On Memorial Day of 2021, she took a jab at Vice President Kamala Harris after she was criticized tweeting "Enjoy the long weekend."

Brittany Aldean took to Instagram to share a series of photos of her family's gathering in honor of the significant holiday, showing "stars and stripes" balloons and an American flag waving in the wind.

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Almost immediately, Brittany appeared to troll language Harris used just days ahead of Memorial Day in which she told her Twitter followers to "enjoy the long weekend" above a photo of her smiling.

"Our family doesnt take Memorial Day lightly," Brittany began the post. "It's more than a long weekend."

Brittany Aldean believes she's speaking up for her fellow Republicans on social media. (Matt Winkelmeyer/ACMA2019/Getty Images for ACM)

"@jasonaldean and I both come from military families and understand the importance our loved ones and others have sacrificed for us, and our freedom. We fly our flag highEVERY SINGLE DAY. It's the least we can do to show our appreciation," the mother of two continued.

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The responses to the stars most-recent political post were largely positive as people began to share their thoughts on the significance of Memorial Day, which was likely vindicating for the celebrity who has stated numerous times that her followers find her "against the grain" political takes refreshing.

Fox News' Melissa Roberto contributed to this report.

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Yes, the resistance to the Democrats’ communist agenda is growing – Washington Times

Posted: at 4:03 pm

ANALYSIS/OPINION:

Before we get to the more upbeat portion of this column, heres a brief recap of what were facing.

Democrats are ramming through a multi-trillion-dollar socialist agenda and hope to kill voter ID laws and other state election safeguards to usher in a one-party government, for starters.

Republicans are trying to decide whether to be at least a speed bump to this coup or to bask in the glow of media praise for bipartisanship. So far, 19 GOP Senators have been there for the basking.

The southern border is wide open, with nearly one million illegal aliens crossing in the last eight months and another million expected. Bodies are piling up in the desert, and people infected with COVID-19 are being released by the thousands in McAllen and other Texas cities and then bused and flown to other states.

Deportations of illegals, even criminal sex offenders, have been halted. The whole scheme is designed to replace ornery Americans with a dependent Free Stuff Army of voters so that the Democrats can wreck America faster.

The willful spread of infected illegals helps gin up COVID-19 hysteria. Even for people who had the virus and have protective antibodies, a push for mandatory vaccinations is in full swing, from the military to school districts and corporations. Columnists in major papers are increasingly caustic toward the unvaccinated and are zeroing in on evangelical Christians and other religious objectors.

Gasoline prices are through the roof, even as the Biden Administration begs foreign oil nations to make up for his deliberately sabotaging Americas energy independence.

I could go on, but you get the picture. Were in the throes of what amounts to a communist takeover under moderate placeholder Joe Biden, who is to unfinished sentences what Babe Ruth was to home runs.

But the encouraging news is that more and more Americans realize that we cannot wait until 2022 or 2024 to get our country back. The resistance is growing rapidly at the grassroots level.

In Portland, Oregon, a once beautiful and now lawless city, a group of Christians gathered in a public park to hold a worship session. In short order, a group of black-suited and hooded Antifa thugs came and assaulted the Christians while police stood by.The next day, the Christians came back to the park to praise God and stand their ground in much larger numbers. Antifa attacked again but could not rout the faithful.

Members of Antifa showed up in Portland last night to threaten, harass, bully and intimidate us, organizer Scott Feucht tweeted. A mom and her baby were tear-gassed. Antifa stood 10 feet from me as we lifted our voices in praise, but we didnt back down. We kept worshipping, and God moved powerfully! One member of Antifa who came to disrupt our service was SAVED giving his life to Jesus!

In Loudoun County, Virginia, a second young schoolteacher has exposed the woke school boards behind-the-scenes antipathy toward Christians. Earlier, physical education instructor Tanner Cross was suspended after telling the board that he couldnt lie to children about their gender as a Christian. A court reinstated him, but the board is still intent on making an example of him.

This past week, Laura Morris told the board that she was informed in one of my so-called equity trainings that White, Christian, able-bodied females currently have the power in our schools and this has to change.

Clearly, youve made your point. You no longer value me or many other teachers youve employed in this county. School board, I quit, she said, adding as she choked up, I quit your policies, I quit your training, and I quit being a cog in a machine that tells me to push highly politicized agendas to our most vulnerable constituents children.

The board voted the very next night to adopt a sweeping transgender policy, complete with re-education sessions for teachers. Their motto should be: Driving out dedicated teachers while imposing a radical agenda.

Frustrated by the boards tin ear, Fight for Schools.com, which is leading a petition drive to recall six board members, held an alternative board meeting so citizens could air their views.

Among the speakers was Monica Gill, who teaches AP government in Loudoun. She explained why she opposes Critical Race Theory.I have been teaching for 26 years, and I have never, once, ever been afraid to deal with the issues of race and injustice in our history, she said. In fact, I welcome the opportunity to teach about them because it allows me to point to Americas moral compass, which we have used time and time again to right those wrongs and right the ship.

Thank God for these brave souls who are not taking it anymore. Dividing children by obsessing on race is criminal.

Likewise, openly subverting laws instead of upholding them should be impeachable. Whoever is really running the Biden Administration is more dangerous than any foreign entity. They are consolidating power, stoking dangerous inflation and public debt, destroying our energy independence, and sowing division and hatred between the races.

As Christians, were being set up to play a role seen before in history that of the scapegoat or even a subversive element that must be identified and eliminated. We must keep in mind three things.

1. There is power in numbers; a sleeping giant appears to be awakening.

2. We still have the incomparable United States Constitutions legacy of liberty.

3. And most importantly, Almighty God is greater than any earthly ruler.

From Psalm 2: Why do the heathen rage, and the people imagine a vain thing? The kings of the earth set themselves, and the rulers take counsel together, against the Lord, and against his anointed, saying, Let us break their bands asunder, and cast away their cords from us. He that sitteth in the heavens shall laugh: the Lord shall have them in derision.

Robert Knight is a columnist for The Washington Times. His website is roberthknight.com.

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What is AI? Here’s everything you need to know about …

Posted: at 3:58 pm

What is artificial intelligence (AI)? It depends who you ask.

Back in the 1950s, the fathers of the field,MinskyandMcCarthy, described artificial intelligence as any task performed by a machine that would have previously been considered to require human intelligence.

That's obviously a fairly broad definition, which is why you will sometimes see arguments over whether something is truly AI or not.

Modern definitions of what it means to create intelligence are more specific. Francois Chollet, an AI researcher at Google and creator of the machine-learning software library Keras, has said intelligence is tied to a system's ability to adapt and improvise in a new environment, to generalise its knowledge and apply it to unfamiliar scenarios.

"Intelligence is the efficiency with which you acquire new skills at tasks you didn't previously prepare for,"he said.

"Intelligence is not skill itself; it's not what you can do; it's how well and how efficiently you can learn new things."

It's a definition under which modern AI-powered systems, such as virtual assistants, would be characterised as having demonstrated 'narrow AI', the ability to generalise their training when carrying out a limited set of tasks, such as speech recognition or computer vision.

Typically, AI systems demonstrate at least some of the following behaviours associated with human intelligence: planning, learning, reasoning, problem-solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity.

At a very high level, artificial intelligence can be split into two broad types:

Narrow AI

Narrow AI is what we see all around us in computers today -- intelligent systems that have been taught or have learned how to carry out specific tasks without being explicitly programmed how to do so.

This type of machine intelligence is evident in the speech and language recognition of the Siri virtual assistant on the Apple iPhone, in the vision-recognition systems on self-driving cars, or in the recommendation engines that suggest products you might like based on what you bought in the past. Unlike humans, these systems can only learn or be taught how to do defined tasks, which is why they are called narrow AI.

General AI

General AI is very different and is the type of adaptable intellect found in humans, a flexible form of intelligence capable of learning how to carry out vastly different tasks, anything from haircutting to building spreadsheets or reasoning about a wide variety of topics based on its accumulated experience.

This is the sort of AI more commonly seen in movies, the likes of HAL in 2001 or Skynet in The Terminator, but which doesn't exist today and AI experts are fiercely divided over how soon it will become a reality.

There are a vast number of emerging applications for narrow AI:

New applications of these learning systems are emerging all the time. Graphics card designerNvidia recently revealed an AI-based system Maxine, which allows people to make good quality video calls, almost regardless of the speed of their internet connection. The system reduces the bandwidth needed for such calls by a factor of 10 by not transmitting the full video stream over the internet and instead of animating a small number of static images of the caller in a manner designed to reproduce the callers facial expressions and movements in real-time and to be indistinguishable from the video.

However, as much untapped potential as these systems have, sometimes ambitions for the technology outstrips reality. A case in point is self-driving cars, which themselves are underpinned by AI-powered systems such as computer vision. Electric car company Tesla is lagging some way behind CEO Elon Musk's original timeline for the car's Autopilot system being upgraded to "full self-driving" from the system's more limited assisted-driving capabilities, with the Full Self-Driving option only recently rolled out to a select group of expert drivers as part of a beta testing program.

A survey conducted among four groups of experts in 2012/13 by AI researchers Vincent C Mller and philosopher Nick Bostrom reported a 50% chance that Artificial General Intelligence (AGI) would be developed between 2040 and 2050, rising to 90% by 2075. The group went even further, predicting that so-called 'superintelligence' which Bostrom defines as "any intellect that greatly exceeds the cognitive performance of humans in virtually all domains of interest" -- was expected some 30 years after the achievement of AGI.

However, recent assessments by AI experts are more cautious. Pioneers in the field of modern AI research such as Geoffrey Hinton, Demis Hassabis and Yann LeCunsay society is nowhere near developing AGI. Given the scepticism of leading lights in the field of modern AI and the very different nature of modern narrow AI systems to AGI, there is perhaps little basis to fears that a general artificial intelligence will disrupt society in the near future.

That said, some AI experts believe such projections are wildly optimistic given our limited understanding of the human brain and believe that AGI is still centuries away.

While modern narrow AI may be limited to performing specific tasks, within their specialisms, these systems are sometimes capable of superhuman performance, in some instances even demonstrating superior creativity, a trait often held up as intrinsically human.

There have been too many breakthroughs to put together a definitive list, but some highlights include:

AlexNet's performance demonstrated the power of learning systems based on neural networks, a model for machine learning that had existed for decades but that was finally realising its potential due to refinements to architecture and leaps in parallel processing power made possible by Moore's Law. The prowess of machine-learning systems at carrying out computer vision also hit the headlines that year, withGoogle training a system to recognise an internet favorite: pictures of cats.

The next demonstration of the efficacy of machine-learning systems that caught the public's attention wasthe 2016 triumph of the Google DeepMind AlphaGo AI over a human grandmaster in Go, an ancient Chinese game whose complexity stumped computers for decades. Go has about possible 200 moves per turn compared to about 20 in Chess. Over the course of a game of Go, there are so many possible moves that are searching through each of them in advance to identify the best play is too costly from a computational point of view. Instead, AlphaGo was trained how to play the game by taking moves played by human experts in 30 million Go games and feeding them into deep-learning neural networks.

Training these deep learning networks can take a very long time, requiring vast amounts of data to be ingested and iterated over as the system gradually refines its model in order to achieve the best outcome.

However,more recently, Google refined the training process with AlphaGo Zero, a system that played "completely random" games against itself and then learned from it. Google DeepMind CEO Demis Hassabis has also unveiled a new version of AlphaGo Zero that has mastered the games of chess and shogi.

And AI continues to sprint past new milestones:a system trained by OpenAI has defeated the world's top playersin one-on-one matches of the online multiplayer game Dota 2.

That same year, OpenAI created AI agents that invented theirown languageto cooperate and achieve their goal more effectively, followed by Facebook training agents tonegotiateandlie.

2020 was the year in which an AI system seemingly gained the ability to write and talk like a human about almost any topic you could think of.

The system in question, known as Generative Pre-trained Transformer 3 or GPT-3 for short, is a neural network trained on billions of English language articles available on the open web.

From soon after it was made available for testing by the not-for-profit organisation OpenAI, the internet was abuzz with GPT-3's ability to generate articles on almost any topic that was fed to it, articles that at first glance were often hard to distinguish from those written by a human. Similarly, impressive results followed in other areas, with its ability toconvincingly answer questions on a broad range of topicsandeven pass for a novice JavaScript coder.

But while many GPT-3 generated articles had an air of verisimilitude, further testing found the sentences generated often didn't pass muster,offering up superficially plausible but confused statements, as well as sometimes outright nonsense.

There's still considerable interest in using the model's natural language understanding as to the basis of future services. It isavailable to select developers to build into software via OpenAI's beta API. It will also beincorporated into future services available via Microsoft's Azure cloud platform.

Perhaps the most striking example of AI's potential came late in 2020 when the Google attention-based neural network AlphaFold 2 demonstrated a result some have called worthy of a Nobel Prize for Chemistry.

The system's ability to look at a protein's building blocks, known as amino acids, and derive that protein's 3D structure could profoundly impact the rate at which diseases are understood, and medicines are developed. In the Critical Assessment of protein Structure Prediction contest, AlphaFold 2 determined the 3D structure of a protein with an accuracy rivaling crystallography, the gold standard for convincingly modelling proteins.

Unlike crystallography, which takes months to return results, AlphaFold 2 can model proteins in hours. With the 3D structure of proteins playing such an important role in human biology and disease, such a speed-up has beenheralded as a landmark breakthrough for medical science, not to mention potential applications in other areas where enzymes are used in biotech.

Practically all of the achievements mentioned so far stemmed from machine learning, a subset of AI that accounts for the vast majority of achievements in the field in recent years. When people talk about AI today, they are generally talking about machine learning.

Currently enjoying something of a resurgence, in simple terms, machine learning is where a computer system learns how to perform a task rather than being programmed how to do so. This description of machine learning dates all the way back to 1959 when it was coined by Arthur Samuel, a pioneer of the field who developed one of the world's first self-learning systems, the Samuel Checkers-playing Program.

To learn, these systems are fed huge amounts of data, which they then use to learn how to carry out a specific task, such as understanding speech or captioning a photograph. The quality and size of this dataset are important for building a system able to carry out its designated task accurately. For example, if you were building a machine-learning system to predict house prices, the training data should include more than just the property size, but other salient factors such as the number of bedrooms or the size of the garden.

The key to machine learning success is neural networks. These mathematical models are able to tweak internal parameters to change what they output. A neural network is fed datasets that teach it what it should spit out when presented with certain data during training. In concrete terms, the network might be fed greyscale images of the numbers between zero and 9, alongside a string of binary digits -- zeroes and ones -- that indicate which number is shown in each greyscale image. The network would then be trained, adjusting its internal parameters until it classifies the number shown in each image with a high degree of accuracy. This trained neural network could then be used to classify other greyscale images of numbers between zero and 9. Such a network was used in a seminal paper showing the application of neural networks published by Yann LeCun in 1989 and has been used by the US Postal Service to recognise handwritten zip codes.

The structure and functioning of neural networks are very loosely based on the connections between neurons in the brain. Neural networks are made up of interconnected layers of algorithms that feed data into each other. They can be trained to carry out specific tasks by modifying the importance attributed to data as it passes between these layers. During the training of these neural networks, the weights attached to data as it passes between layers will continue to be varied until the output from the neural network is very close to what is desired. At that point, the network will have 'learned' how to carry out a particular task. The desired output could be anything from correctly labelling fruit in an image to predicting when an elevator might fail based on its sensor data.

A subset of machine learning is deep learning, where neural networks are expanded into sprawling networks with a large number of sizeable layers that are trained using massive amounts of data. These deep neural networks have fuelled the current leap forward in the ability of computers to carry out tasks like speech recognition and computer vision.

There are various types of neural networks with different strengths and weaknesses. Recurrent Neural Networks (RNN) are a type of neural net particularly well suited to Natural Language Processing (NLP) -- understanding the meaning of text -- and speech recognition, while convolutional neural networks have their roots in image recognition and have uses as diverse as recommender systems and NLP. The design of neural networks is also evolving, with researchersrefining a more effective form of deep neural network called long short-term memoryor LSTM -- a type of RNN architecture used for tasks such as NLP and for stock market predictions allowing it to operate fast enough to be used in on-demand systems like Google Translate.

The structure and training of deep neural networks.

Another area of AI research isevolutionary computation.

It borrows from Darwin's theory of natural selection. It seesgenetic algorithms undergo random mutations and combinations between generations in an attempt to evolve the optimal solution to a given problem.

This approach has even been used to help design AI models, effectively using AI to help build AI. This use of evolutionary algorithms to optimize neural networks is called neuroevolution. It couldhave an important role to play in helping design efficient AI as the use of intelligent systems becomes more prevalent, particularly as demand for data scientists often outstrips supply. The technique was showcased byUber AI Labs, which released paperson using genetic algorithms to train deep neural networks for reinforcement learning problems.

Finally, there areexpert systems, where computers are programmed with rules that allow them to take a series of decisions based on a large number of inputs, allowing that machine to mimic the behaviour of a human expert in a specific domain. An example of these knowledge-based systems might be, for example, an autopilot system flying a plane.

As outlined above, the biggest breakthroughs for AI research in recent years have been in the field of machine learning, in particular within the field of deep learning.

This has been driven in part by the easy availability of data, but even more so by an explosion in parallel computing power, during which time the use of clusters of graphics processing units (GPUs) to train machine-learning systems has become more prevalent.

Not only do these clusters offer vastly more powerful systems for training machine-learning models, but they are now widely available as cloud services over the internet. Over time the major tech firms, the likes of Google, Microsoft, and Tesla, have moved to using specialised chips tailored to both running, and more recently, training, machine-learning models.

An example of one of these custom chips is Google's Tensor Processing Unit (TPU), the latest version of which accelerates the rate at which useful machine-learning models built using Google's TensorFlow software library can infer information from data, as well as the rate at which they can be trained.

These chips are used to train up models for DeepMind and Google Brain and the models that underpin Google Translate and the image recognition in Google Photos and services that allow the public to build machine-learning models usingGoogle's TensorFlow Research Cloud. The third generation of these chips was unveiled at Google's I/O conference in May 2018 and have since been packaged into machine-learning powerhouses called pods that can carry out more than one hundred thousand trillion floating-point operations per second (100 petaflops). These ongoing TPU upgrades have allowed Google to improve its services built on top of machine-learning models, for instance,halving the time taken to train models used in Google Translate.

As mentioned, machine learning is a subset of AI and is generally split into two main categories: supervised and unsupervised learning.

Supervised learning

A common technique for teaching AI systems is by training them using many labelled examples. These machine-learning systems are fed huge amounts of data, which has been annotated to highlight the features of interest. These might be photos labelled to indicate whether they contain a dog or written sentences that have footnotes to indicate whether the word 'bass' relates to music or a fish. Once trained, the system can then apply these labels to new data, for example, to a dog in a photo that's just been uploaded.

This process of teaching a machine by example is called supervised learning. Labelling these examples is commonly carried out byonline workers employed through platforms like Amazon Mechanical Turk.

Training these systems typically requires vast amounts of data, with some systems needing to scour millions of examples to learn how to carry out a task effectively --although this is increasingly possible in an age of big data and widespread data mining. Training datasets are huge and growing in size --Google's Open Images Dataset has about nine million images, while its labelled video repositoryYouTube-8Mlinks to seven million labelled videos.ImageNet, one of the early databases of this kind, has more than 14 million categorized images. Compiled over two years, it was put together by nearly 50 000 people -- most of whom were recruited through Amazon Mechanical Turk -- who checked, sorted, and labelled almost one billion candidate pictures.

Having access to huge labelled datasets may also prove less important than access to large amounts of computing power in the long run.

In recent years, Generative Adversarial Networks (GANs) have been used in machine-learning systems that only require a small amount of labelled data alongside a large amount of unlabelled data, which, as the name suggests, requires less manual work to prepare.

This approach could allow for the increased use of semi-supervised learning, where systems can learn how to carry out tasks using a far smaller amount of labelled data than is necessary for training systems using supervised learning today.

Unsupervised learning

In contrast, unsupervised learning uses a different approach, where algorithms try to identify patterns in data, looking for similarities that can be used to categorise that data.

An example might be clustering together fruits that weigh a similar amount or cars with a similar engine size.

The algorithm isn't set up in advance to pick out specific types of data; it simply looks for data that its similarities can group, for example, Google News grouping together stories on similar topics each day.

Reinforcement learning

A crude analogy for reinforcement learning is rewarding a pet with a treat when it performs a trick. In reinforcement learning, the system attempts to maximise a reward based on its input data, basically going through a process of trial and error until it arrives at the best possible outcome.

An example of reinforcement learning is Google DeepMind's Deep Q-network, whichhas been used to best human performance in a variety of classic video games. The system is fed pixels from each game and determines various information, such as the distance between objects on the screen.

By also looking at the score achieved in each game, the system builds a model of which action will maximise the score in different circumstances, for instance, in the case of the video game Breakout, where the paddle should be moved to in order to intercept the ball.

The approachis also used in robotics research, where reinforcement learning can help teach autonomous robots the optimal way to behave in real-world environments.

Many AI-related technologies are approaching, or have already reached, the "peak of inflated expectations" in Gartner's Hype Cycle, with the backlash-driven 'trough of disillusionment' lying in wait.

With AI playing an increasingly major role in modern software and services, each major tech firm is battling to develop robust machine-learning technology for use in-house and to sell to the public via cloud services.

Each regularly makes headlines for breaking new ground in AI research, although it is probably Google with its DeepMind AI AlphaFold and AlphaGo systems that have probably made the biggest impact on the public awareness of AI.

All of the major cloud platforms -- Amazon Web Services, Microsoft Azure and Google Cloud Platform -- provide access to GPU arrays for training and running machine-learning models, withGoogle also gearing up to let users use its Tensor Processing Units-- custom chips whose design is optimized for training and running machine-learning models.

All of the necessary associated infrastructure and services are available from the big three, the cloud-based data stores, capable of holding the vast amount of data needed to train machine-learning models, services to transform data to prepare it for analysis, visualisation tools to display the results clearly, and software that simplifies the building of models.

These cloud platforms are even simplifying the creation of custom machine-learning models, with Google offeringa service that automates the creation of AI models, called Cloud AutoML. This drag-and-drop service builds custom image-recognition models and requires the user to have no machine-learning expertise.

Cloud-based, machine-learning services are constantly evolving. Amazon now offers a host of AWS offeringsdesigned to streamline the process of training up machine-learning modelsandrecently launched Amazon SageMaker Clarify, a tool to help organizations root out biases and imbalances in training data that could lead to skewed predictions by the trained model.

For those firms that don't want to build their own machine=learning models but instead want to consume AI-powered, on-demand services, such as voice, vision, and language recognition, Microsoft Azure stands out for the breadth of services on offer, closely followed by Google Cloud Platform and then AWS. Meanwhile, IBM, alongside its more general on-demand offerings, is also attempting to sell sector-specific AI services aimed at everything from healthcare to retail, grouping these offerings together under itsIBM Watson umbrella, and having invested $2bn in buying The Weather Channelto unlock a trove of data to augment its AI services.

Internally, each tech giant and others such as Facebook use AI to help drive myriad public services: serving search results, offering recommendations, recognizing people and things in photos, on-demand translation, spotting spam -- the list is extensive.

But one of the most visible manifestations of this AI war has been the rise of virtual assistants, such as Apple's Siri, Amazon's Alexa, the Google Assistant, and Microsoft Cortana.

Relying heavily on voice recognition and natural-language processing and needing an immense corpus to draw upon to answer queries, a huge amount of tech goes into developing these assistants.

But while Apple's Siri may have come to prominence first, it is Google and Amazon whose assistants have since overtaken Apple in the AI space -- Google Assistant with its ability to answer a wide range of queries and Amazon's Alexa with the massive number of 'Skills' that third-party devs have created to add to its capabilities.

Over time, these assistants are gaining abilities that make them more responsive and better able to handle the types of questions people ask in regular conversations. For example, Google Assistant now offers a feature called Continued Conversation, where a user can ask follow-up questions to their initial query, such as 'What's the weather like today?', followed by 'What about tomorrow?' and the system understands the follow-up question also relates to the weather.

These assistants and associated services can also handle far more than just speech, with the latest incarnation of the Google Lens able to translate text into images and allow you to search for clothes or furniture using photos.

Despite being built into Windows 10, Cortana has had a particularly rough time of late, with Amazon's Alexa now available for free on Windows 10 PCs. At the same time, Microsoftrevamped Cortana's role in the operating systemto focus more on productivity tasks, such as managing the user's schedule, rather than more consumer-focused features found in other assistants, such as playing music.

It'd be a big mistake to think the US tech giants have the field of AI sewn up. Chinese firms Alibaba, Baidu, and Lenovo, invest heavily in AI in fields ranging from e-commerce to autonomous driving. As a country, China is pursuing a three-step plan to turn AI into a core industry for the country,one that will be worth 150 billion yuan ($22bn) by the end of 2020to becomethe world's leading AI power by 2030.

Baidu has invested in developing self-driving cars, powered by its deep-learning algorithm, Baidu AutoBrain. After several years of tests, with its Apollo self-driving car havingracked up more than three million miles of driving in tests, it carried over 100 000 passengers in 27 cities worldwide.

Baidu launched a fleet of 40 Apollo Go Robotaxis in Beijing this year. The company's founder has predicted that self-driving vehicles will be common in China's cities within five years.

The combination of weak privacy laws, huge investment, concerted data-gathering, and big data analytics by major firms like Baidu, Alibaba, and Tencent, means that some analysts believe China will have an advantage over the US when it comes to future AI research, with one analyst describing the chances ofChina taking the lead over the US as 500 to 1 in China's favor.

Baidu's self-driving car, a modified BMW 3 series.

While you could buy a moderately powerful Nvidia GPU for your PC -- somewhere around the Nvidia GeForce RTX 2060 or faster -- and start training a machine-learning model, probably the easiest way to experiment with AI-related services is via the cloud.

All of the major tech firms offer various AI services, from the infrastructure to build and train your own machine-learning models through to web services that allow you to access AI-powered tools such as speech, language, vision and sentiment recognition on-demand.

Robots and driverless cars

The desire for robots to be able to act autonomously and understand and navigate the world around them means there is a natural overlap between robotics and AI. While AI is only one of the technologies used in robotics, AI is helping robots move into new areas such asself-driving cars,delivery robotsand helping robotslearn new skills. At the start of 2020,General Motors and Honda revealed the Cruise Origin, an electric-powered driverless car and Waymo, the self-driving group inside Google parent Alphabet, recently opened its robotaxi service to the general public in Phoenix, Arizona,offering a service covering a 50-square mile area in the city.

Fake news

We are on the verge of having neural networks that cancreate photo-realistic imagesorreplicate someone's voice in a pitch-perfect fashion. With that comes the potential for hugely disruptive social change, such as no longer being able to trust video or audio footage as genuine. Concerns are also starting to be raised about how such technologies will be used to misappropriate people's images, with tools already being created to splice famous faces into adult films convincingly.

Speech and language recognition

Machine-learning systems have helped computers recognise what people are saying with an accuracy of almost 95%. Microsoft's Artificial Intelligence and Research group also reported it had developed a system that transcribesspoken English as accurately as human transcribers.

With researchers pursuing a goal of 99% accuracy, expect speaking to computers to become increasingly common alongside more traditional forms of human-machine interaction.

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