Artificial Intelligence and Its Partners – Modern Diplomacy

Digitalization and the development of artificial intelligence (AI) bring up many philosophical and ethical questions about the role of man and robot in the nascent social and economic order. How real is the threat of an AI dictatorship? Why do we need to tackle AI ethics today? Does AI provide breakthrough solutions? We ask these and other questions in our interview with Maxim Fedorov, Vice-President for Artificial Intelligence and Mathematical Modelling at Skoltech.

On 13 July, Maxim Fedorov chaired the inaugural Trustworthy AI online conference on AI transparency, robustness and sustainability hosted by Skoltech.

Maxim, do you think humanity already needs to start working out a new philosophical model for existing in a digital world whose development is determined by artificial intelligence (AI) technologies?

The fundamental difference between todays technologies and those of the past is that they hold up a mirror of sorts to society. Looking into this mirror, we need to answer a number of philosophical questions. In times of industrialization and production automation, the human being was a productive force. Today, people are no longer needed in the production of the technologies they use. For example, innovative Japanese automobile assembly plants barely have any people at the floors, with all the work done by robots. The manufacturing process looks something like this: a driverless robot train carrying component parts enters the assembly floor, and a finished car comes out. This is called discrete manufacturing the assembly of a finite set of elements in a sequence, a task which robots manage quite efficiently. The human being is gradually being ousted from the traditional economic structure, as automated manufacturing facilities generally need only a limited number of human specialists. So why do we need people in manufacturing at all? In the past, we could justify our existence by the need to earn money or consume, or to create jobs for others, but now this is no longer necessary. Digitalization has made technologies a global force, and everyone faces philosophical questions about their personal significance and role in the modern world questions we should be answering today, and not in ten years when it will be too late.

At the last World Economic Forum in Davos, there was a lot of discussion about the threat of the digital dictatorship of AI. How real is that threat in the foreseeable future?

There is no evil inherent in AI. Technologies themselves are ethically neutral. It is people who decide whether to use them for good or evil.

Speaking of an AI dictatorship is misleading. In reality, technologies have no subjectivity, no I. Artificial intelligence is basically a structured piece of code and hardware. Digital technologies are just a tool. There is nothing mystical about them either.

My view as a specialist in the field is that AI is currently a branch of information and communications technology (ICT). Moreover, AI does not even live in an individual computer. For a person from the industry, AI is a whole stack of technologies that are combined to form what is called weak AI.

We inflate the bubble of AIs importance and erroneously impart this technology stack with subjectivity. In large part, this is done by journalists, people without a technical education. They discuss an entity that does not actually exist, giving rise to the popular meme of an AI that is alternately the Terminator or a benevolent super-being. This is all fairy tales. In reality, we have a set of technological solutions for building effective systems that allow decisions to be made quickly based on big data.

Various high-level committees are discussing strong AI, which will not appear for another 50 to 100 years (if at all). The problem is that when we talk about threats that do not exist and will not exist in the near future, we are missing some real threats. We need to understand what AI is and develop a clear code of ethical norms and rules to secure value while avoiding harm.

Sensationalizing threats is a trend in modern society. We take a problem that feeds peoples imaginations and start blowing it up. For example, we are currently destroying the economy around the world under the pretext of fighting the coronavirus. What we are forgetting is that the economy has a direct influence on life expectancy, which means that we are robbing many people of years of life. Making decisions based on emotion leads to dangerous excesses.

As the philosopher Yuval Noah Harari has said, millions of people today trust the algorithms of Google, Netflix, Amazon and Alibaba to dictate to them what they should read, watch and buy. People are losing control over their lives, and that is scary.

Yes, there is the danger that human consciousness may be robotized and lose its creativity. Many of the things we do today are influenced by algorithms. For example, drivers listen to their sat navs rather than relying on their own judgment, even if the route suggested is not the best one. When we receive a message, we feel compelled to respond. We have become more algorithmic. But it is ultimately the creator of the algorithm, not the algorithm itself, that dictates our rules and desires.

There is still no global document to regulate behaviour in cyberspace. Should humanity perhaps agree on universal rules and norms for cyberspace first before taking on ethical issues in the field of AI?

I would say that the issue of ethical norms is primary. After we have these norms, we can translate them into appropriate behaviour in cyberspace. With the spread of the internet, digital technologies (of which AI is part) are entering every sphere of life, and that has led us to the need to create a global document regulating the ethics of AI.

But AI is a component part of information and communications technologies (ICT). Maybe we should not create a separate track for AI ethics but join it with the international information security (IIS) track? Especially since IIS issues are being actively discussed at the United Nations, where Russia is a key player.

There is some justification for making AI ethics a separate track, because, although information security and AI are overlapping concepts, they are not embedded in one another. However, I agree that we can have a separate track for information technology and then break it down into sub-tracks where AI would stand alongside other technologies. It is a largely ontological problem and, as with most problems of this kind, finding the optimal solution is no trivial matter.

You are a member of the international expert group under UNESCO that is drafting the first global recommendation on the ethics of AI. Are there any discrepancies in how AI ethics are understood internationally?

The group has its share of heated discussions, and members often promote opposing views. For example, one of the topics is the subjectivity and objectivity of AI. During the discussion, a group of states clearly emerged that promotes the idea of subjectivity and is trying to introduce the concept of AI as a quasi-member of society. In other words, attempts are being made to imbue robots with rights. This is a dangerous trend that may lead to a sort of technofascism, inhumanity of such a scale that all previous atrocities in the history of our civilization would pale in comparison.

Could it be that, by promoting the concept of robot subjectivity, the parties involved are trying to avoid responsibility?

Absolutely. A number of issues arise here. First, there is an obvious asymmetry of responsibility. Let us give the computer with rights, and if its errors lead to damage, we will punish it by pulling the plug or formatting the hard drive. In other words, the responsibility is placed on the machine and not its creator. The creator gets the profit, and any damage caused is someone elses problem. Second, as soon as we give AI rights, the issues we are facing today with regard to minorities will seem trivial. It will lead to the thought that we should not hurt AI but rather educate it (I am not joking: such statements are already being made at high-level conferences). We will see a sort of juvenile justice for AI. Only it will be far more terrifying. Robots will defend robot rights. For example, a drone may come and burn your apartment down to protect another drone. We will have a techno-racist regime, but one that is controlled by a group of people. This way, humanity will drive itself into a losing position without having the smallest idea of how to escape it.

Thankfully, we have managed to remove any inserts relating to quasi-members of society from the groups agenda.

We chose the right time to create the Committee for Artificial Intelligence under the Commission of the Russian Federation for UNESCO, as it helped to define the main focus areas for our working group. We are happy that not all countries support the notion of the subjectivity of AI in fact, most oppose it.

What other controversial issues have arisen in the working groups discussions?

We have discussed the blurred border between AI and people. I think this border should be defined very clearly. Then we came to the topic of human-AI relationships, a term which implies the whole range of relationships possible between people. We suggested that relationships be changed to interactions, which met opposition from some of our foreign colleagues, but in the end, we managed to sort it out.

Seeing how advanced sex dolls have become, the next step for some countries would be to legalize marriage with them, and then it would not be long before people starting asking for church weddings. If we do not prohibit all of this at an early stage, these ideas may spread uncontrollably. This approach is backed by big money, the interests of corporations and a different system of values and culture. The proponents of such ideas include a number of Asian countries with a tradition of humanizing inanimate objects. Japan, for example, has a tradition of worshipping mountain, tree and home spirits. On the one hand, this instills respect for the environment, and I agree that, being a part of the planet, part of nature, humans need to live in harmony with it. But still, a person is a person, and a tree is a tree, and they have different rights.

Is the Russian approach to AI ethics special in any way?

We were the only country to state clearly that decisions on AI ethics should be based on a scientific approach. Unfortunately, most representatives of other countries rely not on research, but on their own (often subjective) opinion, so discussions in the working group often devolve to the lay level, despite the fact that the members are highly qualified individuals.

I think these issues need to be thoroughly researched. Decisions on this level should be based on strict logic, models and experiments. We have tremendous computing power, an abundance of software for scenario modelling, and we can model millions of scenarios at a low cost. Only after that should we draw conclusions and make decisions.

How realistic is the fight against the subjectification of AI if big money is at stake? Does Russia have any allies?

Everyone is responsible for their own part. Our task right now is to engage in discussions systematically. Russia has allies with matching views on different aspects of the problem. And common sense still prevails. The egocentric approach we see in a number of countries that is currently being promoted, this kind of self-absorption, actually plays into our hands here. Most states are afraid that humans will cease to be the centre of the universe, ceding our crown to a robot or a computer. This has allowed the human-centred approach to prevail so far.

If the expert group succeeds at drafting recommendations, should we expect some sort of international regulation on AI in the near future?

If we are talking about technical standards, they are already being actively developed at the International Organization for Standardization (ISO), where we have been involved with Technical Committee 164 Artificial Intelligence (TC 164) in the development of a number of standards on various aspects of AI. So, in terms of technical regulation, we have the ISO and a whole range of documents. We should also mention the Institute of Electrical and Electronics Engineers (IEEE) and its report on Ethically Aligned Design. I believe this document is the first full-fledged technical guide on the ethics of autonomous and intelligent systems, which includes AI. The corresponding technical standards are currently being developed.

As for the United Nations, I should note the Beijing Consensus on Artificial Intelligence and Education that was adopted by UNESCO last year. I believe that work on developing the relevant standards will start next year.

So the recommendations will become the basis for regulatory standards?

Exactly. This is the correct way to do it. I should also say that it is important to get involved at an early stage. This way, for instance, we can refer to the Beijing agreements in the future. It is important to make sure that AI subjectivity does not appear in the UNESCO document, so that it does not become a reference point for this approach.

Let us move from ethics to technological achievements. What recent developments in the field can be called breakthroughs?

We havent seen any qualitative breakthroughs in the field yet. Image recognition, orientation, navigation, transport, better sensors (which are essentially the sensory organs for robots) these are the achievements that we have so far. In order to make a qualitative leap, we need a different approach.

Take the chemical universe, for example. We have researched approximately 100 million chemical compounds. Perhaps tens of thousands of these have been studied in great depth. And the total number of possible compounds is 1060, which is more than the number of atoms in the Universe. This chemical universe could hold cures for every disease known to humankind or some radically new, super-strong or super-light materials. There is a multitude of organisms on our planet (such as the sea urchin) with substances in their bodies that could, in theory, cure many human diseases or boost immunity. But we do not have the technology to synthesize many of them. And, of course, we cannot harvest all the sea urchins in the sea, dry them and make an extract for our pills. But big data and modelling can bring about a breakthrough in this field. Artificial intelligence can be our navigator in this chemical universe. Any reasonable breakthrough in this area will multiply our income exponentially. Imagine an AIDS or cancer medicine without any side effects, or new materials for the energy industry, new types of solar panels, etc. These are the kind of things that can change our world.

How is Russia positioned on the AI technology market? Is there any chance of competing with the United States or China?

We see people from Russia working in the developer teams of most big Asian, American and European companies. A famous example is Sergey Brin, co-founder and developer of Google. Russia continues to be a donor of human resources in this respect. It is both reassuring and disappointing because we want our talented guys to develop technology at home. Given the right circumstances, Yandex could have dominated Google.

As regards domestic achievements, the situation is somewhat controversial. Moscow today is comparable to San Francisco in terms of the number, quality and density of AI development projects. This is why many specialists choose to stay in Moscow. You can find a rewarding job, interesting challenges and a well-developed expert community.

In the regions, however, there is a concerning lack of funds, education and infrastructure for technological and scientific development. All three of our largest supercomputers are in Moscow. Our leaders in this area are the Russian Academy of Sciences, Moscow State University and Moscow Institute of Physics and Technology organizations with a long history in the sciences, rich traditions, a sizeable staff and ample funding. There are also some pioneers who have got off the ground quickly, such as Skoltech, and surpassed their global competitors in many respects. We recently compared Skoltech with a leading AI research centre in the United Kingdom and discovered that our institution actually leads in terms of publications and grants. This means that we can and should do world-class science in Russia, but we need to overcome regional development disparities.

Russia has the opportunity to take its rightful place in the world of high technology, but our strategy should be to overtake without catching up. If you look at our history, you will see that whenever we have tried to catch up with the West or the East, we have lost. Our imitations turned out wrong, were laughable and led to all sorts of mishaps. On the other hand, whenever we have taken a step back and synthesized different approaches, Asian or Western, without blindly copying them, we have achieved tremendous success.

We need to make a sober assessment of what is happening in the East and in the West and what corresponds to our needs. Russia has many unique challenges of its own: managing its territory, developing the resource industries and continuous production. If we are able to solve these tasks, then later we can scale up our technological solutions to the rest of the world, and Russian technology will be bought at a good price. We need to go down our own track, not one that is laid down according to someone elses standards, and go on our way while being aware of what is going on around us. Not pushing back, not isolating, but synthesizing.

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Artificial Intelligence and Its Partners - Modern Diplomacy

Quantum Cryptography Market 2020 Industry Growth Demand, Top Players, Key Application, and Forecast to 2028 – Owned

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The market has been segmented in major regions to understand the global development and demand patterns of this market.

For quantum cryptography market, the segments by region are for North America, Asia Pacific, Western Europe, Eastern Europe, Middle East, and Rest of the World. During the forecast period, North America, Asia Pacific and Western Europe are expected to be major regions on the quantum cryptography market.

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Market Segmentation:

ByComponent:

Solution and Services

ByServices:

Consulting and Advisory

Deployment and Integration

Support and Maintenance

By Security Type:

Network and Application Security

ByVertical:

Government and defense

BFSI

Retail

Healthcare

Automotive

Others

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North America

North America, by Country

US

Canada

Mexico

North America, by Component

North America, by Services

North America, by Security Type

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Germany

UK

France

Italy

Spain

The Netherlands

Rest of Western Europe

Western Europe, by Component

Western Europe, by Services

Western Europe, by Security Type

Western Europe, byVertical

Asia Pacific

Asia Pacific, by Country

China

India

Japan

South Korea

Australia

Indonesia

Rest of Asia Pacific

Asia Pacific, by Component

Asia Pacific, by Services

Asia Pacific, by Security Type

Asia Pacific, byVertical

Eastern Europe

Eastern Europe, by Country

Russia

Turkey

Rest of Eastern Europe

Eastern Europe, by Component

Eastern Europe, by Services

Eastern Europe, by Security Type

Eastern Europe, byVertical

Middle East

Middle East, by Country

UAE

Saudi Arabia

Qatar

Iran

Rest of Middle East

Middle East, by Component

Middle East, by Services

Middle East, by Security Type

Middle East, byVertical

Rest of the World

Rest of the World, by Country

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Rest of the World, by Services

Rest of the World, by Security Type

Rest of the World, byVertical

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Quantum Cryptography Market 2020 Industry Growth Demand, Top Players, Key Application, and Forecast to 2028 - Owned

Hollywood Is "Increasingly Normalizing" Self-Censorship for China, Report Finds – Hollywood Reporter

On Aug. 5, PEN America published an explosive report that may put Hollywood on the defensive. Titled "Made in Hollywood, Censored by Beijing," the 94-page study details how the major studios and A-list directors increasingly are making decisions including cast, plot, dialogue and settings "based on an effort to avoid antagonizing Chinese officials."

The nonprofit that champions free expression cites examples of the studios inviting Chinese government regulators onto their film sets to advise "on how to avoid tripping the censors' wires," including on Marvel's 2013 film Iron Man 3. (The studios did not respond to PEN America when asked about claims in its report.)

The report which chronicles creative choices on such films as Dr. Strange, World War Z and the upcoming Top Gun: Maverick coincides with criticism from the White House that the studios routinely "kowtow" to the authoritarian government's censorship demands. In addition, Richard Gere the most high-profile actor to feel China's wrath because of his pro-Tibet statements appeared before a Senate committee June 30.

In his testimony, Gere suggested that economic interests drive studios to avoid social issues that Hollywood once addressed, including Tibet. "Imagine Marty Scorsese's Kundun, about the life of the Dalai Lama, or my own film Red Corner, which is highly critical of the Chinese legal system," Gere said. "Imagine them being made today. It wouldn't happen."

Back in 1998, then-Disney chief Michael Eisner apologized for Kundun, which depicted Chinese oppression of the Tibetan people, calling it "a form of insult to our friends," and the studio hired former Secretary of State Henry Kissinger to help with the fallout of the movie. To this day, the film remains radioactive for the studio. (Kundun is not available on Disney+, and the studio did not respond when asked if it plans to add it to the platform.)

Appeasement means profits. American movies earned $2.6 billion in China in 2019, with Disney's Avengers: Endgame pulling in $614 million there alone. Perhaps considering the stakes, Disney stayed silent when Mulan star Liu Yifei drew fire last August for posting on social media during the Hong Kong protests: "I support Hong Kong's police, you can beat me up now."

The Trump administration also has been on the attack. In a July 16 policy speech, U.S. Attorney General William Barr took aim at studios, saying they have provided "a massive propaganda coup for the Chinese Communist Party." Barr added that Paramount told producers of 2013's World War Z to remove a scene in which characters speculate that a virus, which triggered a zombie apocalypse, may have originated in China. The film, which grossed $540 million globally, never received a release in China, likely because the government frowns upon themes of the undead, ghosts or time travel. (A knowledgeable source says China's zombie film ban is the biggest reason that Paramount wouldn't greenlight a $200 million David Fincher-Brad Pitt pairing for a sequel.)

Though PEN and Barr fall on the same side of the fence on China's influence on Hollywood, the nonprofit is no friend of the Trump administration. In 2018, PEN sued President Trump in federal court in an effort to prevent him from using the machinery of the government to retaliate or threaten reprisals against journalists and media outlets for coverage he dislikes (a federal judge in New York ruled in March that the suit can proceed). In a 2017 open letter written by PEN, 65 writers and artists blasted Trumps visa ban covering seven Muslim-majority countries.

The report lays out the growing phenomenon of self-censorship among the studios, fearful of having their films denied entry in the lucrative market and the ways in which flattering the government has become a powerful incentive as it can lead to better release dates, preferential advertising arrangements and a more friendly relationship with Chinese investors and regulators.

"Our biggest concern is that Hollywood is increasingly normalizing preemptive self-censorship in anticipation of what the Beijing censor is looking for," says James Tager, PEN deputy director of free expression policy and research and the report's author. USC professor Stan Rosen, an expert on China's film industry, calls the censorship criticism "a perfect storm" that will put a spotlight on the entertainment industry. "It's going to get harder and harder for Hollywood to not respond," Rosen notes.

For those working to raise awareness about human rights abuses when it comes to China's 61-year occupation of Tibet, Hollywood was once a friend and is now a foe. Films like the 1997 Brad Pitt starrer Seven Years in Tibet have been replaced by movies like DreamWorks Animation's 2019 film Abominable, which reinforces Beijing's territorial claims to the South China Sea. For 2016's Doctor Strange, Disney's Marvel was willing to face criticism for whitewashing an Asian character played by Tilda Swinton, and in the process avoided featuring a character who was Tibetan in the comic books. And Skydance/Paramount's Top Gun: Maverick was criticized, as the PEN report notes, for the "mysterious disappearance of the Taiwanese flag" on a flight jacket that was seen in the 1986 original.

"If Hollywood is siding with the money, sooner or later they will be on the wrong side and lose money because the general public will stop watching [all] movies," says Washington-based activist Tenzing Barshee, who is president of the Capital Area Tibetan Association.

Even more immediate, the industry could be stuck with a damning label when it comes to its relationship with China: hypocritical. Says Tager: "Hollywood enjoys a reputation as being willing to speak truth to power with its own government, which we applaud. We just want that standard to be applied to the rest of the world."

This story first appeared in the Aug. 5 issue of The Hollywood Reporter magazine. Click here to subscribe.

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Hollywood Is "Increasingly Normalizing" Self-Censorship for China, Report Finds - Hollywood Reporter

PEN America urges Hollywood transparency on China censorship – Los Angeles Times

Amid escalating tensions between the U.S. and China, Hollywood has recently taken heat from politicians for its willingness to alter its movies to appease the Chinese government. Now PEN America, a free expression advocacy group, is also calling out the American film industry for self-censorship.

The New York-based nonprofit on Wednesday published a 94-page report detailing the ways Chinas power has influenced not only what movies are shown in the worlds most populous country, but also what kinds of stories are told to a global audience.

PEN America, known for defending persecuted writers and journalists, called on Hollywood studios to adopt strategies and practices to govern their interactions with the Chinese government that affirm and protect artistic freedom to the fullest possible extent.

Among the many recommendations in the report titled Made in Hollywood, Censored by Beijing: The U.S. Film Industry and Chinese Government Influence PEN America asked the major studios to commit that, if a film is altered to satisfy the demands of censors in China, those changes will be made only to the version released in China and not to the cut released globally. The group also asked studios to commit to publicly share requests for changes made by foreign governments. Additionally, it called on the Motion Picture Assn., which lobbies for the five major studios and Netflix, to issue an annual report on the industrys relationship with China.

Filmmakers cannot reduce their work to the lowest common denominator of only content that is deemed acceptable by one of the worlds most censorious regimes, the report said.

The MPA declined to comment.

Industry insiders who spoke to The Times about these issues have largely dismissed such recommendations as unworkable and potentially counterproductive. Chinas censorship regime is famously opaque, and officials there do not tell studios why a movie has been rejected. Publicly proclaiming when their movies are being censored would likely damage studios standing in China, setting back years of work spent opening up the market.

But PEN America argues that Chinas lack of transparency is a feature, not a bug, forcing studios to avoid content and themes that might be offensive to government interests. James Tager, the PEN America researcher who authored the report, said openness about censorship is a first step to fighting it.

The kid-gloves and hands-off approach that Hollywood is normalizing gives China a free pass to continue these policies when it comes to the global community, Tager said in an interview. If this phenomenon remains invisible, or semi-visible at best, no solution will ever emerge.

PEN Americas document on the relationship between China and Hollywood has been in the works for more than a year. It comes after several weeks of attacks against Hollywood by Trump administration officials and their political allies accusing executives of kowtowing to Beijings demands while vocally supporting social justice causes at home. U.S. Atty. General William Barr last month railed against the film industry for making changes to movies including Doctor Strange and World War Z to placate Chinas desire to project a positive global image.

Studio executives have brushed off criticism from Washington Republicans as political posturing at a time when the administration is trying to shift attention away from its handling of the COVID-19 pandemic. Industry leaders say they are simply making smart business decisions in order to show movies in the worlds second-largest box office market. Getting movies seen in China is key for the bottom line of many big-budget productions.

Tager, however, argues that Hollywoods self-censorship has negative consequences because it means studios wont produce films touching on topics such as Tibet, Taiwan and the Tiananmen Square protests that would surely provoke retaliation from the Chinese government. PEN America has previously spoken out against the imprisoning of Chinese journalists, the persecution of Uighurs and the arrest of pro-democracy leaders in Hong Kong.

These are stories that need to be told, he said. If the Chinese film industry is unable to tell them, and if Hollywood is unable to tell them, who do we expect to tell them?

World War Z, the 2013 movie about a disease outbreak that causes a zombie apocalypse, is a particularly timely example of Chinas influence on global film content, Tager said. Paramount Pictures reportedly demanded the filmmakers change dialogue in which characters discuss China as the origin of the zombie outbreak. Despite the effort to avoid ruffling feathers, the film did not receive a release date in China.

Max Brooks, the author of 2006 novel World War Z, wrote in a recent Washington Post op-ed that he refused to edit the parts of his book that would probably prevent its release to readers in China. He chose China as the epicenter for a reason, he said, noting parallels with how Chinas government tried to control the narrative around the spread of the novel coronavirus.

I needed an authoritarian regime with strong control over the press, he wrote. Smothering public awareness would give my plague time to spread, first among the local population, then into other nations. By the time the rest of the world figured out what was going on, it would be too late.

Tager suggested it may be in studios best interest to address the issue independently before U.S. government officials try to interfere in Hollywoods business. Congressman Mike Gallagher (R-Wis.) has suggested requiring disclaimers for movies censored for China, a sort of geopolitical twist on the ubiquitous no animals were harmed disclosures. Sen. Ted Cruz (R-Texas) has proposed cutting off government resources for productions tweaked to suit Beijing.

Those proposals arent expected to gain traction in Washington or Hollywood. But Tager still thinks studios would be wise to take preemptive steps so that one form of government pressure isnt substituted for another.

We believe its better for the industry to take this action on its own rather than waiting for the federal government to do it, Tager said. We would not want any legislative action imposing government censorship in the name of freeing Hollywood from government censorship.

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PEN America urges Hollywood transparency on China censorship - Los Angeles Times

Brother Nut, the Artist, Taking Vow of Silence to Protest Chinas Censorship – VOA Asia

WASHINGTON - If I cant tell the truth, I will keep my mouth shut for a month, thats 720 hours.

Meet Beijing-based Chinese performance artist Brother Nut. Born in Shenzhen in 1981, hes internationally known only by his pseudonym.

From 4 p.m. June 1, until 4 p.m. July 1, he barely opened his mouth. Thats part of his project Shut Up for 30 Days, which is designed to spotlight Chinas shrinking space for freedom of speech, particularly regarding the coronavirus pandemic.

He sealed his lips in different ways, using metal clamps, gloves and a surgical face mask inscribed with shut up. He also wore packing tape marked with the characters Error 404, in reference to Chinas Great Internet Firewall.

During a telephone interview with VOA from Beijing, he said there were a few times when he slipped up and uttered a comment. On those rare occasions, he said he slapped himself 16 times and ate only white rice for all three meals after that.

Self-punishment, you know, he said, just like if the authority asks you to shut up and you fail to do so, you will be punished.

He named himself Brother Nut 10 years ago when he began his performance arts.

Nut, in English, it means someone whos weird and hard to deal with, the 39-year-old told VOA. I think it represents my attitude perfectly.

Living up to that name, he has done quite a few crazy and weird things over the past 10 years.

In 2015, he launched Project Dust, in which he created a brick made entirely from dust he vacuumed out of the heavily polluted Beijing city air over 100 days. The project highlighted Beijings air pollution problems at a time when China sought to recast itself as an environmentally aware nation.

In 2018, he made headlines with project Nongfu Spring Market, in which he filled 9,000 water bottles with cloudy and contaminated water from a village in Shaanxi, in northwestern China, and exhibited them in Beijings art district, 798 Art Zone, to showcase the countrys water problems.

In 2019, he collected 400 dolls from the children of migrant workers in Shenzhen in southeastern China, and he used an excavator to throw all the dolls into the air, advocating for the kids who lost the opportunity to get an education because of land seizures back home.

Brother Nut says that in a country like China, art is a symbol of resistance.

In the past two months, he has launched several projects regarding freedom of speech.

In addition to Shut Up for 30 Days, he has set up the truth award to salute journalists who dare to speak out during the countrys battle with COVID-19.

Brother Nut raised just short of $3,000 from 73 netizens, and he gave the award and money to Gong Jingqi, a journalist from Chinas People Magazine. She wrote a bombshell feature story on whistleblower doctor Ai Fen, the director of the emergency department at Wuhan Central Hospital, one of the hospitals most directly affected by COVID-19. The original piece was quickly deleted from Chinas tightly controlled social media, yet its copy was widely circulated online.

His project Error 404 invited netizens to list sensitive words banned on Chinas internet. More than 100 netizens participated, listing roughly 1,000 words as the most sensitive words in 2020. These included National Security Law, Soviet Union has died and raise your hand if you disagree.

Brother Nut said people are so used to Error 404 they feel indifferent when they see the words. These banned phrases are the epitaph of our time, he told VOA.

From air pollution, water pollution and migrant workers, to freedom of speech, he said hes inching closer to the dangerous red line.

But this red line can move, you know. Maybe instead of me moving closer to the red line, it is the red line drawing closer to everybody, he shrugged.

He was taken away by Chinas secret police for tea drinking, which is an unofficial way of interrogating and intimidating anyone who dares to voice different opinions. The first thing they told me were artists are garbage. I was pretty shocked, he said.

Last year, he was detained for 10 days for a project he undertook on financial fraud.

After his release from prison, Brother Nut continued his performance art. Im on this land, so Im focusing on the things happening here, he said.

Chinas shrinking creative space has made it hard for artists, but Brother Nut said he wants to do something to create change.

We have to believe theres a future for us.

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Brother Nut, the Artist, Taking Vow of Silence to Protest Chinas Censorship - VOA Asia

Censorship on the internet in 2020: The potential effects of TikTok – Film Daily

Amid geopolitical conflicts with China, India has banned TikTok. Its looking into banning more China-based apps like Alibaba. With the U.S. having similar conversations about TikTok, sources are becoming concerned that were facing an age of internet censorship.

Lets take a look at whats happening in India and globally surrounding new apps like TikTok. What should cause more concern, data mining, or censorship? Lets find out.

Indias official reason for banning TikTok has to do with privacy concerns. Like most apps, TikTok mines data from users to show targeted ads and to bring up content individual TikTok users want to see.

TikTok works quickly to parse out videos users want to interact with. From likes within the first hour of use, TikTok makes suggestions based on the videos you interact with. Like dancing? TikTok shows you more dance videos. Liking DIY instead? Your FYP (For You Page) scroll will be full of home improvement and craft projects.

Concerns stem from TikTok tracking macro-data on users all over the world. If an app is privy to viewing trends in a specific country, in theory they can use the information to sway elections. Many supporters of the ban point to possible Russia interference in the U.S. 2016 election that monitored user data to spread false information.

TikTok was banned in India amid privacy concerns, but is that the only reason? The two most populous countries have had negative relations with each other for decades. Deadly border clashes are escalating, including one last month that left twenty dead at the India/China border.

Also, the Indian government isnt the only force driving TikToks ban there. After rising tensions, the Indian population is calling for a ban on Chinese goods and services, especially technology like apps.

Current U.S. President Donald Trump is entertaining the idea of banning TikTok in the U.S. Like India, his reasoning has to do with national security. According to Secretary of state Mike Pompeo, American users shouldnt download the app unless they want their private information in the hands of the Chinese communist party.

A spokesperson for TikTok released a statement about the possible ban, denying that they have ever given information to the Chinese government, and they wouldnt do so if asked. The statement also pointed out that TikTok is owned by an American CEO.

Critics of Trump say the reason has more to do with wounded pride than national security. Thousands of teenagers sabotaged attendance at Trumps rally past month thanks to a TikTok campaign. TikTok users would claim tickets and wouldnt show up, driving down attendance.

Short answer: even with an executive order, it may not stick. Even if Trump directed the FCC to shut TikTok down, civil liberties groups like the ACLU are waiting in the wings to take him to court. Theyre ready to argue that banning an entire platform is a violation of The First Amendment safeguarding free speech.

However, thats not stopping Donald Trump and his administration from seriously looking into banning TikTok. One way theyre looking to weaken the platform is to have an American company like Microsoft buy the app. Trump was opposed to the plan at first, but now he supports it as long as the U.S. government gets a substantial cut.

Its unclear whether the U.S. Department of Treasury can actually take a cut if TikTok gets bought out by an American company. Trumps requirement that a portion of the deal goes to the U.S. has no basis in antitrust law according to financial experts.

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Censorship on the internet in 2020: The potential effects of TikTok - Film Daily

The Italian journalist sets fire to Instagram bordering on censorship with her first bath – Explica

Italy is still in love with Diletta Leotta, the sexiest sports journalist in the transalpine country, who is also popular and known worldwide for her activity on Instagram, where she has more than seven million followers who in the last few hours has delighted with a suggestive bikini-clad posing the censorship of the aforementioned social network.

The first bath is never forgotten, wrote the DAZN reporter next to the photo, in which she appears in a bikini on a boat with the sunset in the background. Diletta Leotta begins her vacation after the end of Serie A, and celebrates it with her first dip in the Mediterranean Sea.

Diletta Leotta has been in focus for several years, but there was an episode that ended up catapulting her to fame. Surely, she does not remember it with a good taste in her mouth, because she must have had a bad time when some hackers stole videos and photos of sexual content from their mobile phone and published it on the Internet.

The hackers illegally accessed his phone and collected the necessary data to expose a sexual video with his partner, with whom he was in the kitchen house playing risqu games with cream, etc. At the moment, those responsible for this illegal act have not been found and the videos and photos have become so viral that it is still possible to find them online.

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The Italian journalist sets fire to Instagram bordering on censorship with her first bath - Explica

VIEW: Digitisation in pathology and the promise of artificial intelligence – CNBCTV18

The COVID-19 pandemic has had a profound impact across industries and healthcare in particularevery aspect of it is undergoing changefrom diagnosis to treatment and through the entire continuum of care. This has also created an urgency in the healthcare industry, to look for innovative solutions and a boost to the faster, efficient application of technologies like Artificial Intelligence (AI) and Deep Learning. Pathology is one area which stands to greatly benefit from these applications.

Pathologists today spend a significant amount of time observing tissue samples under a microscope and they are facing resource shortages, growing complexity of requests, and workflow inefficiencies with the growing burden of diseases. Their work underpins every aspect of patient care, from diagnostic testing and treatment advice to the use of cutting-edge genetic technologies. They also have to work together in a multidisciplinary team of doctors, scientists and healthcare professionals to diagnose, treat and prevent illness. With increasing emphasis on sub-specialisation, taking a second opinion from specialists, means shipping several glass slides across laboratories, sometimes to another country. This means reduced efficiency and delayed diagnosis and treatment. The current situation has disrupted this workflow.

Digitization in pathology

Digitization in Pathology has enabled an increase in efficiency, speed and enhanced quality of diagnosis. Recent technological advances have accelerated the adoption of digitisation in pathology, similar to the digital transformation that radiology departments have experienced over the last decade. Digital Pathology has enabled the conversion of the traditional glass slide to a digital image, which can then be viewed on a monitor, annotated, archived and shared digitally across the globe, for consultation based on organ sub-specialisation. With digitisation, a vast data set has become available, supporting new insights to pathologists, researchers, and pharmaceutical development teams.

The promise of AI

The availability of vast data is enabling the use of Artificial Intelligence methods, to further transform the diagnosis and treatment of diseases at an unprecedented pace. Human intelligence assisted with articial intelligence can provide a well-balanced view of what neither of them could do on their own. The evolution of Deep Learning neural networks and the improvement in accuracy for image pattern recognition has been staggering in the last few years. Similar to how we learn from experience, the deep learning algorithm would perform a task repeatedly, each time improving it a little to achieve more accurate outcomes.

The approach to diagnosis that incorporates multiple sources of data (e.g., pathology, radiology, clinical, molecular and lab operations) and using mathematical models to generate diagnostic inferences and presenting with clinically actionable knowledge to customers is Computational Pathology. Computational Pathology systems are able to correlate patterns across multiple inputs from the medical record, including genomics, enhancing a pathologists diagnostic capabilities, to make a more precise diagnosis. This allows Pathologists to eliminate tedious and time-consuming tasks while focusing more on interpreting data and detailing the implications for a patients diagnosis.

AI applications that can easily augment a Pathologists cognitive ability and save time are, for example, identifying the sections of greatest interest in biopsies, finding metastases in the lymph nodes of breast cancer patients, counting mitoses for cancer grading or measuring tumors point-to-point. The ultimate goal going forward is the integration of all these tools and algorithms into the existing workflow and make it seamless and more efficient.

The Challenge

However, Artificial Intelligence in Pathology is quite complex. The IT infrastructure required in terms of data storage, network bandwidth and computing power is significantly higher as compared to Radiology. Digitisation of Whole Slide Images (WSI) in pathology generate large amounts of gigapixel sized images and processing them needs high-performance computing. Training a deep learning network on a whole slide image at full resolution can be very challenging. With the increase in the processing power with the use of GPUs, there is a promise to train deep learning networks successfully, starting with training smaller regions of interest.

Another key aspect for training deep learning algorithms is the need for large amounts of labeled data. For supervised learning, a ground truth must first be included in the dataset to provide appropriate diagnostic context and this will be time-consuming. Obtaining adequately labeled data by experts is the key.

Digitisation in pathology supported by appropriate IT infrastructure is enabling Pathologists to work remotely without the need to wait for glass slides to be delivered and maintaining social distancing norms. The promise of Artificial Intelligence will only further accelerate the seamless integration of algorithms into the existing workflow. These unprecedented times have raised many challenges, but are also providing us a chance to accelerate the application of AI and in turn to achieve the quadruple aim: enhancing the patient experience, improving health outcomes, lowering the cost of care, and improving the work-life of care providers.

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VIEW: Digitisation in pathology and the promise of artificial intelligence - CNBCTV18

AI can speed up the search for new treatments here’s how – World Economic Forum

The sudden appearance and rapid spread of COVID-19 took governments and society by surprise. As they dusted off pandemic response plans and geared up to fight the virus, it became clear that we needed to turbo-charge R&D efforts and find better ways to hunt down promising treatments for emerging diseases.

Artificial intelligence (AI) has proven a powerful tool in this fight.

In a pandemic, speed is of the essence. Although scientists managed to sequence the genetic code of the new coronavirus and produce diagnostic tests in record time, developing drugs and vaccines against the virus remains a long haul.

AI has the power to accelerate the process by reasoning across all available biomedical data and information in a systematic search for existing approved medicines a vital step in helping patients while the world waits for a vaccine.

Machines excel in handling data in fast-changing circumstances, which means machine learning systems can be harnessed to work as tireless and unbiased super-researchers.

This is not just theory. In late January, using its proprietary platform of AI models and algorithms to search through the scientific literature, researchers at BenevolentAI in London identified an established, once-daily arthritis pill as a potential treatment for COVID-19. The findings were published in two papers in The Lancet and The Lancet Infectious Diseases, in line with our commitment under the Wellcome Trust pledge to share our coronavirus-related research rapidly and openly.

BenevolentAI's COVID-19 timeline

Image: BenevolentAI

The discovery followed a computer-driven hunt for drug candidates with both antiviral and anti-inflammatory properties, since in severe cases of COVID-19 it is the bodys overactive immune response that can cause significant and sometimes fatal damage.

The drug, baricitinib, is currently marketed by Eli Lilly to treat rheumatoid arthritis. Now, thanks to AI, it is being tested against COVID-19 in a major randomised-controlled trial in collaboration with the U.S. National Institute for Allergies and Infectious Diseases (NIAID) in combination with remdesivir, an antiviral drug from Gilead Sciences that recently won emergency-use approval for COVID-19. Eli Lilly has now commenced its own independent trial of baricitinib as a therapy for COVID-19 in South America, Europe and Asia.

The BenevolentAI knowledge graph found that baricitinib might help treat COVID-19.

Image: BenevolentAI

The system used to identify baricitinib was not actually set up to find new uses of existing medicines, but rather to discover and develop new drugs a sign of the potential for AI to uncover novel insights and relationships across an unlimited number of biological entities. In a crisis like COVID-19, it clearly makes sense to hunt through already approved drugs that can be ready for large-scale clinical trials until vaccines are approved and readily available in the global supply chain.

BenevolentAIs vision is to dramatically improve pharmaceutical R&D productivity across the board and to expand the drug discovery universe by making predictions in novel areas of biology. Currently, around half of late-stage clinical trials fail due to ineffective drug targets, resulting in only 15% of drugs advancing from mid-stage Phase 2 testing to approval.

Using a knowledge graph composed of chemical, biological and medical research and information, the companys AI machine learning models and algorithms can identify potential drug leads currently unknown in medical science and far faster than humans. While such systems will never replace scientists and clinicians, they can save both time and money. And the agnostic approach adopted by machine learning means such platforms can generate leads that may have been overlooked by traditional research.

The endeavour has already led to an in-house project on amyotrophic lateral sclerosis (ALS), ulcerative colitis, atopic dermatitis and programmes with partners on progressive kidney and lung diseases, as well as hard-to-treat cancers like glioblastoma.

The ability of machines to solve complex biological puzzles more rapidly than human experts has prompted increased investment in AI drug discovery by a growing number of large pharmaceutical companies.

And AI is also being harnessed in other areas of medicine, such as the analysis of medical images. This encompasses long-standing work on cancer scans and much more recent efforts to use computer power to identify COVID-19 from chest X-rays, including the open-access COVID-Net neural network.

The application of precision medicine to save and improve lives relies on good-quality, easily-accessible data on everything from our DNA to lifestyle and environmental factors. The opposite to a one-size-fits-all healthcare system, it has vast, untapped potential to transform the treatment and prediction of rare diseasesand disease in general.

But there is no global governance framework for such data and no common data portal. This is a problem that contributes to the premature deaths of hundreds of millions of rare-disease patients worldwide.

The World Economic Forums Breaking Barriers to Health Data Governance initiative is focused on creating, testing and growing a framework to support effective and responsible access across borders to sensitive health data for the treatment and diagnosis of rare diseases.

The data will be shared via a federated data system: a decentralized approach that allows different institutions to access each others data without that data ever leaving the organization it originated from. This is done via an application programming interface and strikes a balance between simply pooling data (posing security concerns) and limiting access completely.

The project is a collaboration between entities in the UK (Genomics England), Australia (Australian Genomics Health Alliance), Canada (Genomics4RD), and the US (Intermountain Healthcare).

Clearly, COVID-19 has been a wake-up call for the world. It seems this outbreak may be part of an increasingly frequent pattern of epidemics, fuelled by our hyper-connected modern world. As a result, medical experts are braced for more previously unknown Disease X threats in the years ahead as viruses jump from animals to humans and jet around the world.

Technology has helped create a world in which pathogens like COVID-19, SARS and Zika can spread. But technology, in the form of AI, can also provide us with the weapons to fight back.

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AI can speed up the search for new treatments here's how - World Economic Forum

Artificial Intelligence Could Help Stem the Second Wave of COVID-19 – Banyan Hill Publishing

The bodies piled up by the dozens.

In New York, the first wave of COVID-19 cases peaked in March and April.

Hospitals and health care providers felt a huge strain. Their intensive care units couldnt handle all the new patients.

Thousands of people ended up on machines to help them breathe. Thousands more people died.

Theres no question about it: This pandemic has changed the way we live. And to fight the anticipated second wave of cases as schools and businesses reopen, itll take a life-changing solution.

Thats where artificial intelligence (AI) comes in.

Mount Sinais hospital network was stretched to the limit during New Yorks first peak. Between April 1 and April 15, it treated 2,874 patients. In just those two weeks, over three-quarters of its total bed capacity was tied up.

And it doesnt want a repeat of that pressure. Thats why it came up with the new Mount Sinai COVID Informatics Center.

The center will use AI and machine learning to help diagnose and treat COVID-19 more quickly and efficiently.

Mount Sinais record systems already collect detailed coronavirus patient data. And the centers algorithms can use these numbers to optimize hospital resources.

For example, they can predict which patients will need ventilators most and which are recovering and close to being discharged.

Theres even a new AI-based diagnostic tool in the works. The tool can accurately diagnose COVID-19 in 84% of cases. Thats higher than the rate Mount Sinai doctors could diagnose without it.

Of course, the centers projects are still works in progress. But its clear that standard testing measures wont cut it anymore.

It highlights our changing times: We adapt or die.

This same new normal applies to the stock market, too. Consumer habits are shifting. Businesses that fail to cater to these new needs can easily go bankrupt. Household names like JCPenney and Pier 1 are closing hundreds of stores after failing to adapt.

So, its simple. Companies that want to survive and thrive during this pandemic and beyond need to adapt. And just like Mount Sinai, many of them are turning to AI to do so.

But this shouldnt be a surprise. AI is already everywhere.

If you own a smartphone and use voice commands, youre probably using AI every day. Its also powering self-driving cars. And it transformed health care diagnosis systems even before COVID-19.

Now, were still uncovering all the needs AI can fill in our society. But one thing is certain: AI will unleash a massive windfall for Main Street investors like you.

Financial services firm PwC estimates that AI technology will add $15.7 trillion to the global economy by 2030. With added demand to adapt during this pandemic, that figure could surge even more.

This AI trend will change our world and our lives. And the companies at the forefront of it could easily hand investors triple-digit profits in three to four years.

Ive identified four of the businesses providing customers with critical AI products and services. They have strong balance sheets and growing free cash flow. And theyre not reliant on foot traffic to make money.

Click here to take a look at the details, plus so much more.

Regards,

The Winning Investor Daily Team

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Artificial Intelligence Could Help Stem the Second Wave of COVID-19 - Banyan Hill Publishing