Use of Replace By Fee in Bitcoin Transactions Skyrocketed in 2021 – CryptoPotato

Would you be willing to overpay to have your stalled Bitcoin transaction processed more quickly? Data shows that you most certainly would.

The use of Replace by fee a transaction feature on the Bitcoin network that allows increasing the fee once the transaction is submitted more than doubled in 2021, in what may be a sign that Bitcoin adoption has also led to increased competition among users to put their transactions on the next block.

According to statistics compiled by Bitcoinops, the use of Replace by Fee transactions rose from 14% to 28% so far this year.

The data shows that out of every 144 Bitcoin blocks, almost a third of the transactions had used the fee-boosting option first implemented in 2016 when GreenAddress (now Green Wallet) started to support this solution.

The use of Replace By Fee did not have a far-reaching impact during its first years of existence. In 2018, it managed to beat the goal of 5% of transactions, and it would take another two years to reach the usability of 10% of BTC transactions.

As early as the third quarter of 2020, the story changed. The user base increased, the cryptocurrency boom hit the institutional world, and people started sending Bitcoin like crazy. The proportion of Replace by Fee transactions touched 15% in October 2020, 20% in April 2021, and closed the year nearing 30%, with a peak of 27.5%.

The trend is clear. The number of RBF transactions is increasing and does not seem to have a clear percentile ceiling in the short term.

On the other hand, in terms of daily transactions processed, the network has fallen well below the peak of nearly 450K reached in 2019. Currently, about 260K are processed every day, which already represents an increase in Bitcoin activity of almost 20% since June of this year, when transactions fell to less than 200K per day in the midst of a price recession.

RBF usage is an essential statistic in terms of usability as it shows a growing interest in fast transaction processing. As more businesses begin to deliver a more bitcoin-friendly face, options like Replace by Fee or Child Pays For Parent help create a more flexible system for users.

For example, a payment processor, exchange, or service provider can require up to 6 block confirmations to accept a payment. The fee calculation is already something that many wallets offer automatically. Still, in case of an error and urgency on the part of a buyer the use of Replace by Fee can save the user from unexpectedly long waiting times.

And if paying more for a faster Bitcoin transaction seems insulting to your new bitcoin-loving friend, perhaps it would be a good idea to keep them away from the more popular NFT projects and DeFi protocols.

PrimeXBT Special Offer: Use this link to register & enter POTATO50 code to get 25% off trading fees.

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Use of Replace By Fee in Bitcoin Transactions Skyrocketed in 2021 - CryptoPotato

Crypto Regulations Newsletter: A Tale Of Tyrannies & Bitcoin (1/2) – bitcoinist.com

Crackdowns on bitcoin (BTC) and crypto activity are partially about high surveillance and control.

Reportedly, the countries where crypto activity is restricted or banned at some scale right now are China, Turkey, Russia, Vietnam, Bolivia, Algeria, Colombia, Nigeria, Egypt, Indonesia, Iran, India, Nepal, and North Macedonia.

The pattern that prevails amongst most of these bans portrays authoritarian regimes and the depreciation of fiat currencies. Theres also the narrative behind the bans, using almost the same excuses and fearing the power of bitcoin the power in hands of the people in similar ways.

The Human Rights Foundation has reported that half of the worlds population lives under an authoritarian regime.

Tyranny is the root of poverty, war, and torture.

As this is the reality of our world, people urge to find ways to survive it, face it, surpass it. The decentralization of BTC currently represents the most useful economic tool to many citizens worldwide, thus its gaining huge traction and has started to be used as a replacement for cash.

Cash used to represent a certain level of freedom from corrupted systems and banks, but its downfall has increased since the pandemic. The digital era of finance has begun and the ones in power dont feel safe if they are not in control of the blockchain, the epicenter of innovation nowadays.

Naturally, regimes will only accept the innovation they can control and use in their favor.

In Turkey, the ban against cryptocurrencies came as investors and the common people started to adopt BTC and other digital coins to face the rapidly increasing inflation and weak national currency. What the president described as a way to stabilize the Turkish lira, investors saw as a blow to the country.

Similarly, Reuters reported that the Indian government is aiming for a general prohibition on all activities by any individual on mining, generating, holding, selling, (or) dealing in cryptocurrencies, which includes its use as a store of value and a unit of account.

The new Indian measures reportedly will open the possibilities for arrest without a warrant for any crypto user and they might be held without the option of bail. They also plan to crack down on crypto advertisements.

When the lastest China ban on crypto happened, the Financial Times reported how it affected a coffee shop that was famous for accepting bitcoin as payment:

a barista there told me it had been several years since customers could pay with it. You cant even come here to talk about it, he says.

And a Chinese official told the FT that the country no longer needs bitcoin because they have their own digital currency now.

In this scenario, saying that people do need bitcoin is the same as saying that people do need freedom.

Related Reading |Swedish Regulators Propose PoW Mining Ban. State-Owned Power Company Defends It

What regimes publicly say they fear is never what theyre actually afraid of.

Authoritarianism fears freedom freedom to choose, freedom of speech, the lack of surveillance, losing power and control. Naturally, they fear bitcoins pseudonymity, how its censorship-resistant, the fact that it can be used as a hedge against a depreciating national currency.

These countrys central banks want to be the only ones able to fix monetary issues by activating policies. The thing is, if those policies worked in favor of people most of the time, then BTC adoption wouldnt be so big and represent a risk to the banks: because those people wouldnt need it as much.

But thats not the reality, thus crypto users want to stick it to the banks. They also want control over their own investments and spendings, and the banks want that same control back.

However, do these bans really work? Can they fully ban crypto? In the second part of this article, well address these questions reviewing 2021 scenarios, plus different approaches to crypto by other tyrannies like Venezuelas.

Related Reading |Unpacking The Effects Of Chinas Bitcoin Ban On Investors

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Crypto Regulations Newsletter: A Tale Of Tyrannies & Bitcoin (1/2) - bitcoinist.com

With a Bitcoin leverage squeeze in play, the price could be headed this way – AMBCrypto News

With Bitcoins price falling to as low as $47,450, losing over 8% in the last three days the anticipation of a New Year rally seemed to wither away. A move under the $50,000 support triggered selling which was followed by another price pullback under the $48,000 support where Bitcoin traded at the time of writing.

Ahead of the Friday expiry of 124.7K options contracts, the recent slump under the $48K level could lead the top asset either way.

Options market heated

The combined trading volume of Bitcoin and Ethereum options increased +443% in 2021 to $387 billion for the year as of December 27. Last year, BTC and ETH options saw a combined trading volume of over $71 billion.

Source: TheBlock

Over the last week alone OI has seen an increase of some $2.5 billion, primarily led by traders on Binance. Even though Futures OI is still away from all-time highs, rapid increases in leverage can indicate a clustering of stop-losses and liquidation levels in close proximity to the current price.

Data from Glassnode further presented how this leverage rise can add higher probabilities to a potential short, or long squeeze in the near term.

A general decline in trading volume is typically seen towards year end, however, on a 7-day average basis, futures market volumes have seen a YTD decline of 16%. Thinner volume and rising OI in a concentrated exchange is a combination that can be favorable to at least a localized leverage squeeze over the coming weeks.

With the BTC leverage ratio at ATH levels, the possibility of a correction to flush out all the excess leverage was in play as prices slumped.

HODLers still sitting tight

Historically, the market saw 32% supply-in-loss at $29K bottom in July, while currently, 26% of the BTC supply is in the loss territory. Nonetheless, some long-term holders havent touched their BTC in over five years, with over 23% of BTCs 21 million supply remaining untouched in the period.

For now, long-term holders marginally trimmed their BTC positions in recent weeks, despite prices falling by almost $20,000, or -24.4%, since the BTC ATH. The supply held by investors only dropped to 13.3 million from 13.4 million, a small change relative to the sharp price drop.

Source: Glassnode

Analyst Rekt Capital, highlighted Bitcoins revisit to the 21-week EMA at which the coin faced rejection. Historically, BTC has performed downside wicks into the orange area during this red retest so theres a possibility of another revisit to the lower $44K level, unless the 21-week EMA is established as support in the near term.

If the $40K-$42K range is retested it could likely become a local bottom for the midterm but for now with the year-end Options expiry in place and the possibility of a leverage squeeze BTCs price could visit lower levels in the days to come.

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With a Bitcoin leverage squeeze in play, the price could be headed this way - AMBCrypto News

Iran Bans Bitcoin Mining (Again) – The National Interest

The government of Iran has ordered a shutdown of cryptocurrency mining across the country over fears that the power consumed by miners would overload the countrys shaky power grid and lead to blackouts.This is the second time the government hasclosed downcryptocurrency mining this year.

Mostafa Rajabi Mashhadi, the director of Irans state-run Grid Management Company,indicated thatthe ban would last until March 6, 2022. He estimated that more thantwo hundredmegawatts of power would be freed up for other uses from the ban.

Mashhadi also suggested that Iranian authorities would intensify a crackdown against unlicensed cryptocurrency miners operating in secret, who consume an estimatedsix hundredmegawatts of electricity and whose output far exceeds the officially recognized miners.

Cryptocurrency mining, particularly Bitcoin mining, is popular in Iran. The countrys ease of access to natural gas has led to extremely cheap electricity, making mining in Iran more economically viable than in many other areas. Moreover, Western sanctions against Iran are unable to prevent cryptocurrency mining, which has beenused as a source of fundsby the government in Tehran in the past.

Mining increased in Iran in mid-2020 after China, which had previously been the worlds leader in Bitcoin mining,banned the practice, leading some operators to resume the practice in other nations. At the same time, the country experienced aseries of blackouts, leading in turn to an increase in protests against the government. The need to preserve power and restore stability led authorities in Tehran to ban mining for the first time.

The current plan to ban mining comes in conjunction with several other energy-saving measures, such as the shutdown of street lights in some areas at certain times. Tehran has also pushed for additional means of power generation, which Mashhadi projected would lead to a 60 percent increase in available power during the upcoming summer.

Electricity consumption in Iran is often highest during the winter. The daily gas demand for Iranian households ismostly used to power heating. Ithas increased to 570 million cubic meters per day, an unprecedented amount in the countrys recorded history of energy consumption. The National Iranian Gas Company announced in a statement last week that it had maxed out its natural gas production ateight hundredmillion cubic meters per day, forcing reductions in supply to other areas, such as offices and industry.

TrevorFilsethis a current and foreign affairs writer for theNational Interest.

Image: Reuters

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Iran Bans Bitcoin Mining (Again) - The National Interest

Bitcoin needs to clear $51K to reduce the chance of new sell-off from BTC whales – Cointelegraph

Bitcoin (BTC) whales are the center of attention again this week as large transactions flow back to exchanges.

Data from on-chain analytics platform CryptoQuant on Dec. 24 shows that relatively, whales are increasing their presence as potential sellers.

According to CryptoQuants Exchange Whale Ratio indicator, the proportion of large inflows to exchanges out of total inflows is now at a one-year high.

Inflows sped up significantly as BTC/USD rose to $51,000 overnight on Thursday, and the implication could be that large-volume investors plan to take profits at the top end of Bitcoins current range.

It is better to watch out until BTC breaks $51k levels, one CryptoQuant analyst cautioned.

Despite misgivings, Bitcoin managed to preserve its higher levels into Friday, these previously forming a key line in the sand for bullish sentiment to return.

Whales, meanwhile, are not new potential sellers. As Cointelegraph reported earlier in the month, larger investors have diverged from smaller retail hodlers in terms of buying behavior.

CryptoQuant and others confirm that this is still the case, with exchange withdrawals conversely reflecting peak accumulation similar to September before the breakout to $69,000 all-time highs.

Related:Missed out on hot crypto stocks in 2021? It paid just to buy Bitcoin and Ethereum, data shows

Miners, too, are holding onto their newly released coins from block subsidies, with their reserves now at six-month highs.

Miners own more BTC than when BTC was at $69k, in fact, they added back all the BTC they net distributed since the drop from $69k, contributor Venturefounder noted.

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Bitcoin needs to clear $51K to reduce the chance of new sell-off from BTC whales - Cointelegraph

Pro-Bitcoin Senator to Introduce Comprehensive Crypto Bill in US Regulation Bitcoin News – Bitcoin News

The pro-bitcoin U.S. Senator Cynthia Lummis has reportedly unveiled her plan to introduce a comprehensive crypto bill that will cover everything from how cryptocurrencies are taxed and categorized to consumer protections. The bill will also propose creating a new entity to oversee the digital asset market.

U.S. Senator Cynthia Lummis is reportedly preparing to introduce a comprehensive crypto bill next year. The Republican senator from Wyoming explained that the bill will cover everything from how cryptocurrencies are taxed and categorized to consumer protections, Bloomberg reported Thursday.

The bill will provide clear guidance on which asset class a particular asset belongs to and will also establish a framework to regulate stablecoins, a senior aide for the senator told the news outlet. In addition, it will propose creating a new entity to oversee the crypto market that will operate under the joint jurisdiction of the Commodity Futures Trading Commission (CFTC) and the Securities and Exchange Commission (SEC).

Lummis is a member of the Senate Banking Committee. She has repeatedly said that bitcoin is a great store of value. The senator recently confirmed that she owns about five bitcoins and has no plan to sell them. Her BTC is part of a broad portfolio that includes her familys cattle ranches.

In October, Lummis said in Congress: Thank God for bitcoin, and other non-fiat currencies, that transcends the irresponsibility of governments, including our own.

Several bills have already been introduced in Congress with the intention of regulating the crypto sector. In August, U.S. Rep. Don Beyer introduced the Digital Asset Market Structure and Investor Protection Act. The bill provides the SEC with authority over digital asset securities and the CFTC with authority over digital assets.

In April, the U.S. House of Representatives passed a bill introduced by pro-bitcoin Congressman Patrick McHenry which requires the SEC and the CFTC to establish a working group focused on digital assets.

In August, two U.S. lawmakers urged the chairman of the SEC and the acting chairman of the CFTC to establish a joint working group for the regulation of crypto assets. Other efforts to regulate the crypto industry include the Digital Commodity Exchange Act of 2020 (DCEA) and the Crypto-Currency Act of 2020.

What do you think about Senator Lummis planning to introduce a comprehensive cryptocurrency bill? Let us know in the comments section below.

A student of Austrian Economics, Kevin found Bitcoin in 2011 and has been an evangelist ever since. His interests lie in Bitcoin security, open-source systems, network effects and the intersection between economics and cryptography.

Image Credits: Shutterstock, Pixabay, Wiki Commons

Disclaimer: This article is for informational purposes only. It is not a direct offer or solicitation of an offer to buy or sell, or a recommendation or endorsement of any products, services, or companies. Bitcoin.com does not provide investment, tax, legal, or accounting advice. Neither the company nor the author is responsible, directly or indirectly, for any damage or loss caused or alleged to be caused by or in connection with the use of or reliance on any content, goods or services mentioned in this article.

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2021’s Top Stories About AI – IEEE Spectrum

2021 was the year in which the wonders of artificial intelligence stopped being a story. Which is not to say that IEEE Spectrum didn't cover AIwe covered the heck out of it. But we all know that deep learning can do wondrous things and that it's being rapidly incorporated into many industries; that's yesterday's news. Many of this year's top articles grappled with the limits of deep learning (today's dominant strand of AI) and spotlighted researchers seeking new paths.

Here are the 10 most popular AI articles that Spectrum published in 2021, ranked by the amount of time people spent reading them. Several came from Spectrum's October 2021 special issue on AI, The Great AI Reckoning.

1. Deep Learning's Diminishing Returns: MIT's Neil Thompson and several of his collaborators captured the top spot with a thoughtful feature article about the computational and energy costs of training deep learning systems. They analyzed the improvements of image classifiers and found that "to halve the error rate, you can expect to need more than 500 times the computational resources." They wrote: "Faced with skyrocketing costs, researchers will either have to come up with more efficient ways to solve these problems, or they will abandon working on these problems and progress will languish." Their article isn't a total downer, though. They ended with some promising ideas for the way forward.

2. 15 Graphs You Need to See to Understand AI in 2021: Every year, The AI Index drops a massive load of data into the conversation about AI. In 2021, the Index's diligent curators presented a global perspective on academia and industry, taking care to highlight issues with diversity in the AI workforce and ethical challenges of AI applications. I, your humble AI editor, then curated that massive amount of curated data, boiling 222 pages of report down into 15 graphs covering jobs, investments, and more. You're welcome.

3. How DeepMind Is Reinventing the Robot: DeepMind, the London-based Alphabet subsidiary, has been behind some of the most impressive feats of AI in recent years, including breakthrough work on protein folding and the AlphaGo system that beat a grandmaster at the ancient game of Go. So when DeepMind's head of robotics Raia Hadsell says she's tackling the long-standing AI problem of catastrophic forgetting in an attempt to build multi-talented and adaptable robots, people pay attention.

4. The Turbulent Past and Uncertain Future of Artificial Intelligence: This feature article served as the introduction to Spectrum's special report on AI, telling the story of the field from 1956 to present day while also cueing up the other articles in the special issue. If you want to understand how we got here, this is the article for you. It pays special attention to past feuds between the symbolists who bet on expert systems and the connectionists who invented neural networks, and looks forward to the possibilities of hybrid neuro-symbolic systems.

5. Andrew Ng X-Rays the AI Hype: This short article relayed an anecdote from a Zoom Q&A session with AI pioneer Andrew Ng, who was deeply involved in early AI efforts at Google Brain and Baidu and now leads a company called Landing AI. Ng spoke about an AI system developed at Stanford University that could spot pneumonia in chest x-rays, even outperforming radiologists. But there was a twist to the story.

6. OpenAI's GPT-3 Speaks! (Kindly Disregard Toxic Language): When the San Francisco-based AI lab OpenAI unveiled the language-generating system GPT-3 in 2020, the first reaction of the AI community was awe. GPT-3 could generate fluid and coherent text on any topic and in any style when given the smallest of prompts. But it has a dark side. Trained on text from the internet, it learned the human biases that are all too prevalent in certain portions of the online world, and can therefore has an awful habit of unexpectedly spewing out toxic language. Your humble AI editor (again, that's me) got very interested in the companies that are rushing to integrate GPT-3 into their products, hoping to use it for such applications as customer support, online tutoring, mental health counseling, and more. I wanted to know: If you're going to employ an AI troll, how do you prevent it from insulting and alienating your customers?

7. Fast, Efficient Neural Networks Copy Dragonfly Brains: What do dragonfly brains have to do with missile defense? Ask Frances Chance of Sandia National Laboratories, who studies how dragonflies efficiently use their roughly 1 million neurons to hunt and capture aerial prey with extraordinary precision. Her work is an interesting contrast to research labs building neural networks of ever-increasing size and complexity (recall #1 on this list). She writes: "By harnessing the speed, simplicity, and efficiency of the dragonfly nervous system, we aim to design computers that perform these functions faster and at a fraction of the power that conventional systems consume."

8. Deep Learning Isn't Deep Enough Unless It Copies From the Brain: In a former life, Jeff Hawkins invented the PalmPilot and ushered in the smartphone era. These days, at the machine intelligence company Numenta, he's investigating the basis of intelligence in the human brain and hoping to usher in a new era of artificial general intelligence. This Q&A with Hawkins covers some of his most controversial ideas, including his conviction that superintelligent AI doesn't pose an existential threat to humanity and his contention that consciousness isn't really such a hard problem.

9. The Algorithms That Make Instacart Roll: It's always fun for Spectrum readers to get an insider's look at the tech companies that enable our lives. Engineers Sharath Rao and Lily Zhang of Instacart, the grocery shopping and delivery company, explain that the company's AI infrastructure has to predict the availability of "the products in nearly 40,000 grocery storesbillions of different data points," while also suggesting replacements, predicting how many shoppers will be available to work, and efficiently grouping orders and delivery routes.

10. 7 Revealing Ways AIs Fail: Everyone loves a list, right? After all, here we are together at item #10 on this list. Spectrum contributor Charles Choi pulled together this entertaining list of failures and explained what they reveal about the weaknesses of today's AI. The cartoons of robots getting themselves into trouble are a nice bonus.

So there you have it. Keep reading IEEE Spectrum to see what happens next. Will 2022 be the year in which researchers figure out solutions to some of the knotty problems we covered in the year that's now ending? Will they solve algorithmic bias, put an end to catastrophic forgetting, and find ways to improve performance without busting the planet's energy budget? Probably not all at once... but let's find out together.

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2021's Top Stories About AI - IEEE Spectrum

This fund driven by artificial intelligence is ditching big tech. Here’s what it’s doing instead. – MarketWatch

The megacap tech stocks have had a solid if not spectacular 2021. Heading into the final days of the year, Google parent Alphabet GOOG, +0.04% has soared 67%, while Amazon.com AMZN, -0.86% has only gained 5%, as founder Jeff Bezos exited for quite literally greater horizons. The NYSE FANG+ NYFANG, -0.81% index, which includes the five core FAANG stocks (Facebook, Amazon, Apple , Netflix and Google) plus a handful more including Nvidia and Tesla, has gained 19% underperforming both the S&P 500 SPX, +0.14% and Nasdaq Composite COMP, -0.10%.

The artificial-intelligence Powered Equity ETF AIEQ, +0.35% seems to have caught on. Its an exchange-traded fund that uses IBM Watson to pick stocks, and now it doesnt have any of the megacap tech giants in its top 10 holdings. Jessica Rabe, co-founder of DataTrek Research, points out that as recently as September, Apple AAPL, +0.05%, Microsoft MSFT, +0.21%, Amazon and Alphabet were its top four positions, making up nearly a quarter of the exchange-traded fund. Even in November, Microsoft, Alphabet and Amazon accounted for about 15% of the fund. Now, only Apple of the FAANG stocks is in the portfolio.

What is the fund doing now? It still has a smattering of tech stocks in its top 10, led by microchip maker Advanced Micro Devices AMD, -3.19%, but also investments including diabetes monitoring system maker Dexcom DXCM, +1.11% and electrical-system maker Eaton ETN, +0.30%. Theres also a bit of a cybersecurity theme with both Palo Alto Networks PANW, -0.20% and Fortinet FTNT, +0.20% in its top 10.

AIEQ has been diversifying its holdings in a host of industries and putting most of its capital to work. Thats in contrast to this past September, for example, when it placed more concentrated investments in well-known companies amid that choppy month for U.S. equities. This latest approach reflects the current positive investment environment with the S&P near record highs, says Rabe.

Tesla TSLA, -0.21% CEO Elon Musk sold another $1 billion of stock in the electric-vehicle maker, according to Securities and Exchange Commission filings, to pay the taxes for the exercise of a 1.55 million share option. That should wrap up his preplanned stock sales for this year.

Apple AAPL, +0.05% is reportedly paying up to $180,000 to prevent employees from moving to tech rivals including Meta Platforms FB, -0.95%, according to Bloomberg News.

The trade deficit in goods ballooned by 17.5% in November, the Commerce Department reported. Retail inventories rose by 2%, and wholesale inventories rose by 1.2%, the same report said. Pending home sales data is due shortly after the open.

The World Health Organization reported that the number of COVID-19 cases worldwide climbed 11% last week, with Europe having the highest infection rate of any region.

Stock futures ES00, -0.05% NQ00, -0.07% were flattish after a pause in the rally on Tuesday.

The yield on the 10-year Treasury TMUBMUSD10Y, 1.545% edged up to 1.52%. One big move was in European natural-gas contracts, with the lead U.K. contract GWM00, +1.21% tumbling 5% as a combination of warmer weather, U.S. supplies and Norwegian output moved prices off recent highs.

Here are the top tickers on MarketWatch, as of 6 a.m. Eastern.

This tax maneuver from the 1990s is now helping Silicon Valley tycoons save tens of millions of dollars.

These brothers have re-gifted the same candy since 1987.

Need to Know starts early and is updated until the opening bell, but sign up here to get it delivered once to your email box. The emailed version will be sent out at about 7:30 a.m. Eastern.

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This fund driven by artificial intelligence is ditching big tech. Here's what it's doing instead. - MarketWatch

Spain will create an agency to monitor the dangers of Artificial Intelligence – Central Valley Business Journal

12/29/2021 at 5:52 PM CET

Carles Planas Bou

Spain will have an agency dedicated to monitoring and minimizing significant risks to the safety and health of people, as well as their fundamental rights & rdquor; that may cause the use of Artificial intelligence (IA). This is stated in the Law of General State Budgets (PGE) approved on Tuesday and published this Wednesday in the BOE.

The pact for the 2022 budgets establishes that the Spanish Agency for the Supervision of Artificial Intelligence will have an endowment of 5 million euros to investigate the danger that may arise from algorithms. And it is that, whether they are private companies or public administrations, more and more people use these to automate all kinds of processes, from personalizing content on the Internet to granting bank loans or state aid. Although it operates under the false guise of mathematical neutrality, this technology is imperfect and can amplify potential racist, gender or class discrimination against part of society.

Aware of this, the Spanish agency will be in charge of auditing the algorithmic systems used in the territory in a transparent, objective and impartial way & rdquor; and will provide advice to the unions so that the platforms comply with the regulation of the algorithms established by the Rider Law. It will also have the ability to apply sanctions, although the law does not give more details about it.

The creation of this AI oversight body comes after a proposal launched in November by More CountryEquo and agreed with the two Government partners, PSOE and we can. Its approval in the budgets for 2022 comes as the European Union (EU) prepares a community regulation to limit the impact of these algorithmic systems that will include a ban on mass surveillance systems.

The governments gesture also responds to growing international pressure to regulate the use of AI and its potential social dangers. The United Nations, for example, has warned of these risks and has asked both states and companies to dramatically increase transparency & rdquor; about the algorithmic systems that are used on a day-to-day basis. On December 9, an international group of experts asked in the journal Science that, given the growing distrust with this technology, a global network of ethical hackers was put in place to uncover their vulnerabilities and fix them before they explode against society.

However, all of that is still on paper. In order for the agency to begin to move forward, it will first have to agree on a law that establishes its creation in detail, as well as the development of an initial action plan. All of this means that this promise to curb the risks of AI can take months to take shape.

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Spain will create an agency to monitor the dangers of Artificial Intelligence - Central Valley Business Journal

$100 million awarded to UNT’s Health Science Center to diversify field of AI – KERA News

The Artificial Intelligence/Machine Learning Consortium to Advance Health Equity and Researcher Diversity (AIM-AHEAD program) was created to combat harmful biases in how artificial intelligence and machine learning is used.

KERA's Justin Martin talked with UNTHSC's Dr. Jamboor Vishwanatha, about what this means for North Texas.

Interview Highlights:

On the AIM-AHEAD program:

AIM-AHEAD is a consortium to promote artificial intelligence and machine learning to achieve health equity and also diversify the research workforce that is involved in the AI (artificial intelligence) and ML (machine learning) work. So it basically attacks two different issues.

One is the lack of diversity in the data that is currently used in the AI/ML field. And secondly, who is actually doing the work.

So this is actually a very, very significant program, and I think you mentioned about $100 million. It is one large investment that NIH has made in terms of diversity efforts.

On how artificial intelligence and machine learning affects health care:

Artificial intelligence and machine learning are in every walk of life. Basically, when you wear a smartwatch, you're pretty much collecting data. And then there are a lot of decisions that are made.

Artificial intelligence is used in the hospitals, in the clinics. It is being used in all walks of life. What is going to happen is some of the clinical decisions will all be based on machine learning, on artificial intelligence.

So it is quite important at this point for us to make sure that people are not left behind, that their data is used in developing the algorithms in making sure that any outcome is representative of all the population.

On how AI/ML lacks diversity:

There are two issues. One is the gender. It turns out that most of the people who are working in this area are predominantly male. I mean, so you don't really have gender equity.

Secondly, racial ethnic groups are not highly represented in the workforce that is currently doing artificial intelligence machine learning. And therefore, this is really critical that we involve all of the groups, all of the racial ethnic groups in the future workforce.

Dr. Jamboor Vishwanatha is regents professor and vice president of diversity and international programs at the University of North Texas Science Center in Fort Worth.

Interview highlights were lightly edited for clarity.

Got a tip? Email Justin Martin atJmartin@kera.org. You can follow Justin on Twitter @MisterJMart.

KERA News is made possible through the generosity of our members. If you find this reporting valuable, considermaking a tax-deductible gifttoday.

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$100 million awarded to UNT's Health Science Center to diversify field of AI - KERA News