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Pioneering AI artist says the technology is ultimately ‘limiting’, left her ‘burnt out’ – HT Tech

An artist who shook up the cultural world with a haunting female portrait created by artificial intelligence (AI) has decided she's had enough of the new technology for now. Working with AI to create art is ultimately "very frustrating and very limiting," Swedish-based artist and writer Supercomposite told AFP. For the moment, she has stopped working with AI and is writing a screenplay instead, saying her experience with AI art left her "burned out".

"It creates this dopamine path in your brain. It's very addictive to keep pushing that button and getting these results," she said.

Supercomposite created the red-cheeked, hollow-eyed woman called "Loab" in 2022 when she was testing out the new artistic possibilities offered by AI.

Her posts on social media of Loab and about the process to create her went viral, with commentators describing the images as "disturbing" and saying they had "sparked some lengthy ethical conversations around visual aesthetics, art and technology".

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Tools like Midjourney, Stable Diffusion and DALL-E have made it possible to generate images from written prompts.

Supercomposite -- whose real name is Steph Maj Swanson and is originally from the United States -- had been looking at so-called "negative prompts", designed to exclude certain elements from an image.

- 'That was the spookiest' -

She typed in the negative prompt "Brando::-1", asking one tool to come up with something as far as possible from the late American actor Marlon Brando.

What appeared at first was a black logo with green lettering that spelt out "DIGITA PNTICS", the 32-year-old told AFP in an interview at the Chaos Communication Congress, which brings the hacker scene together every year in late December in Hamburg.

But when the artist requested the opposite of this again with the query "DIGITA PNTICS" skyline logo::-1", the image of "this really sad, haunting looking woman with long hair and red cheeks" appeared for the first time, she said.

The text "Loab" appeared in truncated letters on one of the images -- giving a name to the creature that looked like it sprang from a horror movie.

Swanson then sought to get AI to modify Loab with another request. And to that new generated image, she made another different request, and another. But a strange trend surfaced.

"Sometimes she would reappear, after vanishing for a few generations of the lineage. That was the spookiest," she said.

More disturbingly, Loab appeared regularly alongside children, "sometimes dismembered", and always in a "macabre" and "bloody" world, she said.

Of the hundreds of images including Loab that were generated, Swanson decided not to show those she deemed the most shocking.

- 'My life changed' -

Loab's existence was first revealed in September 2022 in a series of posts on Twitter, since renamed X.

"It became viral, my life changed," she said, explaining how she became "so obsessed" with Loab.

"I wanted to explore who she was, the different scenarios in which she would appear and her limits, to see how far I could push the model."

The reasons for the character's recurring appearance are unclear. Experts have noted it is impossible to know how generative AI interprets abstract requests.

Swanson has not revealed which tool she used to create Loab, wanting to avoid "shifting the focus away from art and onto the makers of the model" and being accused of "marketing," she said.

But her refusal to name Loab's creator has led to doubts over how she was created, with some internet users suspecting Swanson of re-touching the images to create a so-called "creepypasta" -- a kind of digital horror theme cooked up to haunt social networks.

Swanson denied she'd dreamt up or manually altered Loab, saying she took the claims as a compliment: "It meant people were interacting with it."

But it has been over a year since Swanson has touched Loab, saying the whole affair left her exhausted and burned out. She has stopped creating AI images as she devoted herself to a screenplay.

She summed up her current sentiment about such tools with a quote from South Korean-born video art pioneer Nam June Paik: "I use technology in order to hate it properly".

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Sheryl Crow Questions Artificial Intelligence on Anthemic Single Evolution – Rolling Stone

Sheryl Crow has released a new single, Evolution. The song is the title track off the musicians forthcoming 11th studio LP, out March 29 via The Valory Music Group, and grapples with the future impact of artificial intelligence on humanity and the planet.

Stephen Hawking worried that A.I. would replace humans, Crow said in a statement. As a mom, I want to leave a better world for my children, a healthier planet is A.I. going to be a benevolent partner in these goals or not? Its unsettling, and this song deals with those anxieties.

Crow recorded the song with Mike Elizondo, who produced the album. It features a memorable guitar solo from Rage Against The Machine guitarist Tom Morello.

I wrote the song with just me on guitar and vocals, sent it to Mike Elizondo and said, this is bigger than me, can you take a crack at it? Crow explained. To me, Toms playing comes from some other planet. Its a cool bit of kismet that we were inducted into the Rock and Roll Hall of Fame in the same year, and his solo on Evolution just ejects you into space.

Crow previously teased her album with an upbeat single, Alarm Clock, which was co-written by Crow with Elizondo and Emily Weisband. The singles music video arrived earlier this month. Thealbum announcementin November came as a surprise since Crow publicly said she would not release another full-length album after her 2018 effortThreads.

Everything is more song oriented now with streaming, and making an album is a huge endeavor, Crow explained in a statement.I started sending just a couple of demos to Mike, but the songs just kept flowing out of me and it was pretty obvious this was going to be an album.

The musician was inducted into the Rock and Roll Hall of Fame late last year. During the ceremony, Crow performed her 1996 hit If It Makes You Happy with Olivia Rodrigo and was joined by Stevie Knicks for Strong Enough.

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The Tech Doomers Are Wrong about Artificial Intelligence – National Review

Today, American policy-makers must choose with respect to AI: freedom or technocracy, prosperity or economic insignificance.

NRPLUS MEMBER ARTICLE{T}ypifying the unseriousness with which many in Washington treat AI, President Joe Bidens inspirations to regulate the technology reportedly include a viewing of Mission: Impossible Dead Reckoning Part One (you know, the famous documentary). Lets hope a rewatch of Ghostbusters doesnt persuade him to prevent urban rampage by nationalizing the marshmallow industry.

Unfortunately, many in government, the media, and private industry share Bidens overwrought fears. Technologists such as Elon Musk often speak of AI primarily as a mortal threat. Softer variations include theories that AI, if not micromanaged by regulators, inevitably will cause mass unemployment or widespread discrimination. One commentator on X (formerly Twitter) recently voiced the maximalist version of this perspective, advocating that we kill the demon robots before they kill us.

The catastrophist perspective has manifested itself in legislative proposals such as Senators Josh Hawley (R., Mo.) and Richard Blumenthals (D., Conn.) bill to strip generative AI products of Section 230 protections. In it, the senators aim to create legal carve-outs and special liabilities that categorically disadvantage AI products not just the nascent supercomputer overlords.

Section 230 protects online content-hosting platforms from civil liability for third-party speech. Without it, those who host websites that allow third-party posts from micro-bloggers to the largest social-media companies would face potentially crippling liability for third-party user-generated posts. Removing its protections from AI-generated content would disincentivize investment and innovation in AI without regard for any specific products potential benefits or risks.

This effort smacks of culture-war-driven technophobia, not clear-eyed policy-making. These irrational fears would retard American economic growth and technological innovation. According to a recent Goldman Sachs report, generative AI could drive a 7% (or almost $7 trillion) increase in global GDP and lift productivity growth by 1.5 percentage points over a 10-year period. Enacting law to discourage American innovation in the sector would hamstring U.S. firms that compete with foreign firms (e.g., Chinese firms). This not only would make American consumers poorer, but it likely would end decades of Americas global technological dominance, which Washington has thus far promoted through light-touch regulation.

Largely free from technocratic strangulation, the U.S. digital economy has generated tremendous wealth. In 2021, it accounted for $3.70 trillion of gross output, $2.41 trillion of value added (translating to 10.3 percent of U.S. gross domestic product (GDP)), $1.24 trillion of compensation, and 8.0 million jobs, according to the Bureau of Economic Analysis. Should Washington impose significant new burdens (related to AI or otherwise), the tech sectors productivity would atrophy accordingly.

By framing AI policy in apocalyptic terms, policy-makers ignore the fact that most AI-enabled products have more to do with mundane activities such as shipping logistics, data analysis, and spell-check than with supercomputers trying to take over the world. These common tools, which never star in movies, help individuals complete ordinary daily tasks or businesses increase operational efficiencies.

For example, the aforementioned HawleyBlumenthal bill would impact many common tools including Grammarly, Vimeo, and smartphone cameras, as the R Street Institutes Shoshana Weissmann explains. Because its impossible to know if content will be used in illegal ways, its unclear how these companies could comply with the law without removing all AI features from their products, Weissmann writes. The resulting deluge of lawsuits could bring AI development in the United States to a grinding halt.

Government certainly should monitor advanced systems that could (if abused) threaten national security. Regulatory regimes must grow from realistic assessments of risk rather than Hollywood plotlines. Moreover, they must promote permissionless innovation and, in turn, economic and technological dynamism.

Prosperity occurs where government opts against erecting barriers to private citizens innovating, collaborating, trading, and pursuing their own goals. This dynamic has asserted itself throughout history, from Ancient Egypt to post-communist Europe and China. It has caused Americas relatively free tech sector to dominate, and Europes heavily regulated tech sector to stagnate.

Today, American policy-makers must choose with respect to AI: freedom or technocracy, prosperity or economic insignificance.

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2 Stock-Spilt Stocks Crushing It in Artificial Intelligence That Could Soar in 2024 – The Motley Fool

Data from Grand View Research shows that the artificial intelligence (AI) market is projected to expand at a compound annual growth rate of 37% through 2030, which would see it exceed a value of $1 trillion before the decade's end. So it's not surprising that countless tech firms have restructured their businesses to prioritize AI, thus creating multiple ways to invest in the budding industry.

Despite a surge in AI stocks last year, the market's immense potential indicates it's not too late for new investors to see major gains from the market. Meanwhile, companies that have recently split their shares are attractive options, as the move is often followed by significant growth.

Here are two stock-split stocks crushing it in AI that could soar in 2024.

Nvidia's (NVDA -0.20%) business has exploded in recent years, with its shares soaring more than 1,300% since 2019. Stellar growth led management to trigger a 4-to-1 stock split in July 2021, its fifth split since 2000. And the company appears to just be getting started.

Over the last 12 months, Nvidia emerged as one of the biggest names in artificial intelligence, achieving an estimated 90% market share in AI chips. The company's years of dominance in graphics processing units (GPUs) allowed it to get a head start, while rivals like AMD and Intel have yet to catch up.

Increased demand for AI graphics processing units (GPUs) has seen Nvidia's earnings soar. In the third quarter of fiscal 2024 (ended October 2023), Nvidia posted revenue growth of 206%, with operating income up more than 1,600% thanks to a spike in chip sales in its data center segment.

Data by YCharts

This chart shows Nvidia's earnings could hit $24 per share by fiscal 2026. That figure, multiplied by its forward price-to-earnings ratio of 45, implies a potential stock price of $1,080, projecting growth of 97% over the next two fiscal years.

As a leading chipmaker, Nvidia has a lucrative role in AI and tech in general. The company will need to contend with increased competition this year as other companies release new chips. However, its dominance will be challenging to overcome.

Meanwhile, the market's growth potential suggests there's enough room for Nvidia to retain its lead and welcome newcomers. As a result, this stock-split stock is too good to pass up in the new year.

As the home of potent brands like Google, Android, and YouTube, it's impossible to deny Alphabet's (GOOG 0.40%) (GOOGL 0.40%) powerful role in tech. Its stock has risen 402% over the last decade, with its last split occurring in July 2022 in a 20-to-1 split.

Much of the company's success over the years stems from the billions of users its services attract. Alphabet has used its massive user base to build a lucrative digital advertising business, responsible for about 25% of the $740 billion digital ad market. Popular platforms like Google Search and YouTube present almost endless advertising opportunities for the company and have helped its earnings soar in recent years.

Since 2019, Alphabet's annual revenue rose 75%, with operating income up 108%. Meanwhile, the company's free cash flow has climbed 200% in the last five years to $78 billion, indicating that Alphabet has the funds to invest heavily in its research and development and venture into burgeoning areas of tech -- such as AI.

In December, the tech giant unveiled its highly anticipated AI model, Gemini, which is expected to compete with OpenAI's GPT-4. The new model could open the door to countless growth opportunities in AI for Alphabet.

Gemini and the popularity of platforms like Google Search, Cloud, and YouTube could be a powerful combination. The company could have an advantage in AI with the ability to create a Search experience closer to ChatGPT, add new AI tools on Google Cloud, offer more efficient advertising, and better track viewing trends on YouTube.

Data by YCharts

These charts show Alphabet's stock is also significantly cheaper than that of its biggest competitors in AI, fellow cloud giants Microsoft and Amazon. The company has lower figures in two key valuation metrics: forward P/E and price-to-free cash flow (P/FCF) ratios. Forward P/E is calculated by dividing a company's current share price by its estimated future earnings per share. Meanwhile, P/FCF divides its market cap by free cash flow. For both metrics, the lower the figure, the better the value.

Forward P/E and P/FCF are great ways to determine the value of a company's shares as they take into account its financial health against its stock price. In this case, Alphabet is a far bigger bargain than Microsoft or Amazon.

Alongside a solid outlook in AI and consistent financial growth, Alphabet is a screaming buy in 2024.

John Mackey, former CEO of Whole Foods Market, an Amazon subsidiary, is a member of The Motley Fool's board of directors. Suzanne Frey, an executive at Alphabet, is a member of The Motley Fool's board of directors. Dani Cook has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Advanced Micro Devices, Alphabet, Amazon, Microsoft, and Nvidia. The Motley Fool recommends Intel and recommends the following options: long January 2023 $57.50 calls on Intel, long January 2025 $45 calls on Intel, and short February 2024 $47 calls on Intel. The Motley Fool has a disclosure policy.

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1 Artificial Intelligence (AI) Growth Stock to Buy Hand Over Fist in 2024 – The Motley Fool

Artificial intelligence (AI) could pave the way for dramatic productivity improvements and even help cure life-threatening diseases. This incredible tech movement is still just starting to affect the world.

At the same time, AI is also being used by bad actors to carry out cyberattacks that have the potential to be hugely destabilizing. The scale and capabilities of these AI-powered cyberattacks will continue to evolve. Thankfully, top cybersecurity companies have scale and resource advantages that should help them combat the rising tide of threats. And the increasing importance of shutting down such threats suggests that investors have opportunities to score big long-term wins.

If you're looking for stocks that can help you capitalize on surging AI and cybersecurity trends, CrowdStrike (CRWD -0.41%) looks like a great stock to consider right now.

CrowdStrike's core service is providing software that prevents hardware devices from being used to attack networks. The company's cloud-based Falcon platform uses AI and machine-learning technologies to fend off threats and adapt to new forms of attacks. Falcon offers best-in-class protections, and demand for its capabilities is surging.

Not only is the cybersecurity specialist continuing to attract new customers, it's also seeing increased spending from existing customers. Right now, 63% of customers use five or more of the company's more than two dozen modules. Meanwhile, 42% of customers use at least six modules, and 26% of its client base uses at least seven.

For comparison, 60% of customers were using at least five or more modules, 36% used at least six modules, and 21% used at least seven at the end of last year's third quarter. Expanded spending from Falcon customers suggests that the platform is delivering high performance and value.

Thanks to customer additions and strong net revenue retention, CrowdStrike's sales climbed 35% year over year to reach $786 million in the third quarter. Meanwhile, non-GAAP (adjusted) net income more than doubled to hit $199.2 million.

But while CrowdStrike has been using efficiency initiatives to help boost its earnings, the company hasn't been skimping on research and development (R&D) spending. The company's R&D spending jumped 38% annually across its last three reported quarters to reach $410 million.

CrowdStrike continues to invest heavily to spur initiatives capable of generating long-term growth and fortifying its competitive positioning in the cybersecurity space.

CrowdStrike has generated $655 million in free cash flow across the first three quarters of its current fiscal year, up 40% year over year. The company's free-cash-flow generation across the stretch comes in at roughly 30% of revenue across the period -- a very impressive performance.

Even better, the company sees room for continued margin expansion over the long term. With time, company management believes that CrowdStrike can consistently hit a subscription gross margin between 82% and 85%. Meanwhile, it expects to reach an operating income margin between 28% and 32% and a free cash flow margin between 34% and 38%.

CRWD PE Ratio (Forward) data by YCharts

Even with the stock trading at 93 times this year's expected earnings, CrowdStrike looks attractively valued. The business is posting impressive growth, and excellent margins combined with a favorable long-term demand outlook suggest that the stock can continue to serve up wins for long-term investors.

The need for high-performance cybersecurity services will only continue to grow. CrowdStrike's leadership position in AI-enhanced protections puts the company in a good position to benefit as demand continues to increase and industry consolidation trends funnel sales to top players in the space.

For long-term investors interested in capitalizing on the intersection of powerful AI and cybersecurity demand tailwinds, CrowdStrike stock has the makings of a massive long-term winner.

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1 Artificial Intelligence (AI) Stock I Wouldn’t Touch With a 10-Foot Pole – The Motley Fool

Since ChatGPT showed up on the scene, it seems like every stock associated with artificial intelligence (AI) in some form has attracted buyers. Indeed, artificial intelligence is changing the face of the tech industry, and some companies will likely experience massive gains as the technology changes the way we live.

However, this does not mean every AI stock is going to deliver outsized returns. In fact, some stocks should arguably be avoided, including enterprise AI software company C3.ai (AI -4.20%). Here's why I'm keeping it off my buy list and encouraging others to do the same.

If you take an overhead view of C3.ai, you can understand why AI investors like this stock. The company develops and sells software applications powered by AI. It also places considerable emphasis on generative AI applications.

Through this technology, it has attracted a diverse client base that includes companies as varied as Microsoft, RTX, and Baker Hughes as it tackles various business-related challenges through AI.

However, C3.ai's revenue base appears to be excessively dependent on specific companies. It currently generates around one-third of its revenue from Baker Hughes. That agreement ends in fiscal 2025, and since it is unknown whether Baker Hughes will renew the deal, C3.ai faces significant uncertainty.

Furthermore, the company's propensity to change its name calls its mission into question. Its original name at its founding in 2009 was C3 LLC. It became C3 Energy in 2013, and in 2016, when the Internet of Things (IoT) gained more attention, it changed its name to C3 IoT. Three years later, it rebranded under its present name, C3.ai, before launching its initial public offering (IPO) the following year. Given such changes, one might question how committed the company is to the technology.

Also, given the state of its financials, one might wonder whether it has a realistic path to profitability. In the first two quarters of fiscal 2024 (ended Oct. 31), revenue came in at $146 million, a yearly increase of about 14%.

Unfortunately, a near doubling of subscription costs more than wiped out the benefits of the higher revenue. Thanks to higher interest income, the net loss in the first half of 2024 fell to $134 million, a modest improvement from the $141 million lost during the same time frame in fiscal 2023.

Admittedly, its $762 million should keep the company in business for the foreseeable future, possibly without more debt or further stock dilution. Nonetheless, given the marginal improvement in net losses, one has to wonder if C3.ai can grow enough to become profitable.

Also, its stock has struggled in the second half of 2023. Although it rose by around 160% over the last year, that includes a decline of nearly 30% in the previous six months. And its price-to-sales (P/S) ratio of more than 11 makes it a relatively expensive stock. Such a valuation could limit the upside without a dramatic improvement in its business.

Despite C3.ai showing outward appearances of a promising AI company, a deeper look at the company indicates some troubling problems that should make investors think twice about buying in. Aside from its frequent name changes, the company seems incapable of generating the growth it needs to remain profitable. Moreover, the recent stock price behavior and valuation indicate the stock may have peaked.

AI is likely going to generate considerable returns for investors over time. Nonetheless, investors may want to ignore C3.ai in favor of profitable companies that have consistently focused on artificial intelligence.

Will Healy has no position in any of the stocks mentioned. The Motley Fool has positions in and recommends Microsoft. The Motley Fool recommends C3.ai and RTX. The Motley Fool has a disclosure policy.

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DOD Increases AI Capacity Through Strategy, Alignment > U.S – Department of Defense

The Defense Department is making leaps when it comes to fielding cutting edge technologies, a senior Pentagon policy official said today.

Michael C. Horowitz, deputy assistant secretary of defense for force development and emerging capabilities, said key organizational and strategy updates have resulted in DOD's improved ability to effectively field new tactics and technologies especially when it comes to artificial intelligence.

"If you imagine, essentially, a continuum of activities from science and technology investments all the way to fielding capabilities, this administration within the Department of Defense has launched new initiative at each place, essentially, in the continuum," he said during an AI policy discussion hosted by the Center for Strategic and International Studies in Washington, D.C.

Horowitz cited the creation of the Chief Digital and Artificial Intelligence Office, responsible for the departmentwide adoption of data. He also cited recent strategy updates aimed at aligning AI adoption with broader defense strategy.

In November, the DOD released its strategy to accelerate the adoption of advanced artificial intelligence capabilities to ensure U.S. warfighters maintain decision superiority on the battlefield for years to come.

The 2023 Data, Analytics and Artificial Intelligence Adoption Strategy, which was developed by the Chief Digital and AI Office, builds upon and supersedes previous strategies. The 2018 DOD AI Strategy and revised DOD Data Strategy, published in 2020, laid the groundwork for the department's approach to fielding AI-enabled capabilities.

Horowitz also cited DOD investments in research, development, test and evaluation, and new initiatives to speed up experimentation within the department.

"All across the waterfront. we've launched initiatives designed to improve our adoption capacity, and I think we're really starting to see them pay off," Horowitz said.

When it comes to the adoption of AI and autonomous systems, Horowitz said that DOD remains laser focused on ensuring trust and confidence in the technology. He added that the department also maintains its commitment to international humanitarian law as it applies to the technology.

Last year, the Defense Department updated a 2012 directive governing the responsible development of autonomous weapon systems to the standards aligned with the advances in artificial intelligence.

The U.S. has also introduced a political declaration on the responsible military use of artificial intelligence, which further seeks to codify norms for the responsible use of the technology.

Horowitz said 51 countries have signed on to the political declaration, reflecting U.S. leadership at a critical time in the global adoption of AI.

"I think that there's a recognition that the sorts of norms we're trying to promote are things that all countries should be able to get behind," he said. "They include things like a commitment to international humanitarian law. They include appropriate testing and evaluation for systems," he said.

"They include lots of, I would say, good governance mechanisms of the sort that we flesh out in detail in Department of Defense policy," Horowitz said.

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Artificial Intelligence (AI) is no longer just a science-fiction concept. – Medium

Artificial Intelligence (AI) is no longer just a science-fiction concept. The 2024 and beyond are poised to be dominated by AI, significantly impacting most industries. We must be prepared for these changes.

Its rapidly weaving into the fabric of our everyday lives, transforming industries, redefining work, and influencing how we interact with the world. This increased integration of AI is not without its challenges, but the potential benefits are undeniable.

From Automation to Augmentation:

One of the most significant aspects of AI integration is its ability to automate tasks. AI algorithms are taking over Repetitive, data-driven processes, freeing human workers to focus on more strategic and creative endeavors. Imagine assembly lines where robots collaborate with humans or customer service centers powered by AI chatbots that handle routine inquiries, allowing human agents to tackle complex issues.

Beyond mere automation, AI is also augmenting human capabilities. For example,

Challenges and Opportunities

The increased integration of AI is not without its challenges. Concerns about job displacement, bias in algorithms, and the ethical implications of AI need to be addressed. However, these challenges also present opportunities. By investing in education and retraining programs, we can ensure that workers have the skills needed to thrive in the AI-powered economy. By developing ethical guidelines and regulations, we can ensure that AI is used responsibly and for the benefit of all.

The Future of AI Integration

The future of AI integration is bright. We can expect even deeper integration into our lives as AI technology advances. Imagine smart homes anticipating our needs, intelligent cities optimizing traffic flow and energy consumption, and personalized education systems adapting to each students learning style.

The increased integration of AI is not something to fear but rather an opportunity to embrace. By working together, we can ensure that AI is used to create a better future for everyone.

In conclusion, the increased integration of AI is a transformative force shaping our world profoundly. While challenges exist, the potential benefits are vast. By embracing AI responsibly and thoughtfully, we can unlock a future of greater efficiency, productivity, and human potential.

Lets be prepared and make this world secure and beautiful with AI.

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First Georgia bills dropped targeting artificial intelligence – 11Alive.com WXIA

ATLANTA A Georgia lawmaker introduced two bills this week that would try to put some curbs on artificial intelligence.

Artificial intelligence is already making its mark on college campuses, where some students dont mind admitting that its mighty handy for writing term papers. This was in June:

"Yep! It would give me a whole term paper in five minutes," gushed a Savannah State University student 11Alive interviewed in June. She declined to give her full name, adding, "Everyone cheats in college."

Artificial intelligence also shouldnt be used to get too deep into the backgrounds of people seeking, say, health insurance says David Schweidel at Emory.

"Maybe they're not discriminating based on the medical diagnosis. Maybe they're discriminating based on search engine history. We dont want that," said Schweidel of the Goizueta Business School.

State Rep. Mandisha Thomas (D-South Fulton) said some of her neighbors are convinced companies using AI are holding them back. Thomas has introduced two bills in the state House. They would make it illegal to use AI to discriminate against people and to prevent health or public assistance providers from making decisions based on AI.

"We dont want AI to have the last word when a customer or participant in a program is on public services. We dont want them to have the last word. We want a human to have the last word," Thomas told 11Alive.

"These are reasonable steps. What they're effectively saying is, we dont want machines that are black boxes making important decisions," Schweidel said.

Schweidel explained these bills are the first of what he expects to be a flurry of legislation as lawmakers hear more from constituents about what worries them about AI.

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Predictions of AI-powered models strictly trial-specific, have no generalisability: Study – HT Tech

AI-powered prediction models made accurate predictions within the trial they were developed in, but gave "random predictions" outside of it, according to a new research. Researchers said the study showed that generalisations of predictions of artificial intelligence-based models across different study centres cannot be ensured at the moment and that these models were "highly context-dependent". Results of the study have been published in the journal Science.

Pooling data from across trials too did not help matters, the team found.

The team of researchers, including those from the universities of Cologne (Germany) and Yale (US), were testing the accuracy of AI-driven models in predicting the response of schizophrenic patients to antipsychotic medication across several independent clinical trials.

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The current study pertained to the field of precision psychiatry, which makes use of data-related models for targeted therapies and suitable medications for individuals.

"Our goal is to use novel models from the field of AI to treat patients with mental health problems in a more targeted manner," said Joseph Kambeitz, Professor of Biological Psychiatry at the Faculty of Medicine of the University of Cologne and the University Hospital Cologne.

"Although numerous initial studies prove the success of such AI models, a demonstration of the robustness of these models has not yet been made," said Kambeitz, adding that safety was of great importance for everyday clinical use.

"We have strict quality requirements for clinical models and we also have to ensure that models in different contexts provide good predictions.

"The models should provide equally good predictions, whether they are used in a hospital in the USA, Germany or Chile," said Kambeitz.

That these AI models have highly limited generalisability was an important signal for clinical practice and shows that further research is needed to actually improve psychiatric care, the researchers said.

The team is hoping to overcome these obstacles and is currently working on examining large patient groups and data sets in order to improve the accuracy of AI models, they said.

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