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Exploring institutions for global AI governance

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New white paper investigates models and functions of international institutions that could help manage opportunities and mitigate risks of advanced AI

Growing awareness of the global impact of advanced artificial intelligence (AI) has inspired public discussions about the need for international governance structures to help manage opportunities and mitigate risks involved.

Many discussions have drawn on analogies with the ICAO (International Civil Aviation Organisation) in civil aviation; CERN (European Organisation for Nuclear Research) in particle physics; IAEA (International Atomic Energy Agency) in nuclear technology; and intergovernmental and multi-stakeholder organisations in many other domains. And yet, while analogies can be a useful start, the technologies emerging from AI will be unlike aviation, particle physics, or nuclear technology.

To succeed with AI governance, we need to better understand:

  1. What specific benefits and risks we need to manage internationally.
  2. What governance functions those benefits and risks require.
  3. What organisations can best provide those functions.

Our latest paper, with collaborators from the University of Oxford, Université de Montréal, University of Toronto, Columbia University, Harvard University, Stanford University, and OpenAI, addresses these questions and investigates how international institutions could help manage the global impact of frontier AI development, and make sure AI’s benefits reach all communities.

The critical role of international and multilateral institutions

Access to certain AI technology could greatly enhance prosperity and stability, but the benefits of these technologies may not be evenly distributed or focused on the greatest needs of underrepresented communities or the developing world. Inadequate access to internet services, computing power, or availability of machine learning training or expertise, may also prevent certain groups from fully benefiting from advances in AI.

International collaborations could help address these issues by encouraging organisations to develop systems and applications that address the needs of underserved communities, and by ameliorating the education, infrastructure, and economic obstacles to such communities making full use of AI technology.

Additionally, international efforts may be necessary for managing the risks posed by powerful AI capabilities. Without adequate safeguards, some of these capabilities – such as automated software development, chemistry and synthetic biology research, and text and video generation – could be misused to cause harm. Advanced AI systems may also fail in ways that are difficult to anticipate, creating accident risks with potentially international consequences if the technology isn’t deployed responsibly.

International and multi-stakeholder institutions could help advance AI development and deployment protocols that minimise such risks. For instance, they might facilitate global consensus on the threats that different AI capabilities pose to society, and set international standards around the identification and treatment of models with dangerous capabilities. International collaborations on safety research would also further our ability to make systems reliable and resilient to misuse.

Lastly, in situations where states have incentives (e.g. deriving from economic competition) to undercut each other’s regulatory commitments, international institutions may help support and incentivise best practices and even monitor compliance with standards.

Four potential institutional models

We explore four complementary institutional models to support global coordination and governance functions:

  • An intergovernmental Commission on Frontier AI could build international consensus on opportunities and risks from advanced AI and how they may be managed. This would increase public awareness and understanding of AI prospects and issues, contribute to a scientifically informed account of AI use and risk mitigation, and be a source of expertise for policymakers.
  • An intergovernmental or multi-stakeholder Advanced AI Governance Organisation could help internationalise and align efforts to address global risks from advanced AI systems by setting governance norms and standards and assisting in their implementation. It may also perform compliance monitoring functions for any international governance regime.
  • A Frontier AI Collaborative could promote access to advanced AI as an international public-private partnership. In doing so, it would help underserved societies benefit from cutting-edge AI technology and promote international access to AI technology for safety and governance objectives.
  • An AI Safety Project could bring together leading researchers and engineers, and provide them with access to computation resources and advanced AI models for research into technical mitigations of AI risks. This would promote AI safety research and development by increasing its scale, resourcing, and coordination.

Operational challenges

Many important open questions around the viability of these institutional models remain. For example, a Commission on Advanced AI will face significant scientific challenges given the extreme uncertainty about AI trajectories and capabilities and the limited scientific research on advanced AI issues to date.

The rapid rate of AI progress and limited capacity in the public sector on frontier AI issues could also make it difficult for an Advanced AI Governance Organisation to set standards that keep up with the risk landscape. The many difficulties of international coordination raise questions about how countries will be incentivised to adopt its standards or accept its monitoring.

Likewise, the many obstacles to societies fully harnessing the benefits from advanced AI systems (and other technologies) may keep a Frontier AI Collaborative from optimising its impact. There may also be a difficult tension to manage between sharing the benefits of AI and preventing the proliferation of dangerous systems.

And for the AI Safety Project, it will be important to carefully consider which elements of safety research are best conducted through collaborations versus the individual efforts of companies. Moreover, a Project could struggle to secure adequate access to the most capable models to conduct safety research from all relevant developers.

Given the immense global opportunities and challenges presented by AI systems on the horizon, greater discussion is needed among governments and other stakeholders about the role of international institutions and how their functions can further AI governance and coordination.

We hope this research contributes to growing conversations within the international community about ways of ensuring advanced AI is developed for the benefit of humanity.



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Artificial intelligence investing is on the rise since 2013

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FARGO, N.D. (KVRR) — “Artificial intelligence is one of the big new waves in the economy. Right now they say that artificial intelligence is worth about $750 billion in our economy right now. But they expect it to quadruple within about eight or nine years,” said Paul Meyers, President and Financial Advisor at Legacy Wealth Management in Fargo.

According to a Stanford study, since 2013, the United States has been the leading global AI private investor. In 2024, the U.S. invested $109.1 billion in AI. While on a global scale, the corporate AI investment reached $252.3 billion.

“Artificial intelligence is already in our daily lives. And I think it’s just going to become a bigger and bigger part of it. I think we still have control over it. That’s a good thing. But artificial intelligence is helpful to all of us, regardless of what industry you’re in, and we need to be ready for it,” said Meyers.

Recently, Applied Digital has seen a dip in its stock by nearly 4%. The company’s 50-day average price is $12.49, and its 200-day moving average price is $9.07. Their latest report in July reported their earnings per share being $0.12 for the quarter.

“This company has grown quite a bit as a stock this year. For investors in this company, they’re up ninety-four percent this year. And I would say that you know there’s some positives and some negatives, some causes for concern, and some causes for optimism, it’s not a slam dunk,” said Meyers.

At the city council meeting on Tuesday night, Don Flaherty, Mayor of Ellendale, shared that they had not received any financial benefits from Applied Digital and won’t see any until 2026. While Harwood has yet to finalize their decision on the proposal.





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NIH Taps UT Southwestern Medical Center for $23M North Texas Alzheimer’s Disease Research Hub » Dallas Innovates

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North Texas is the newest federal front line in the fight against Alzheimer’s and dementia.

The National Institute of Health has awarded UT Southwestern a $23 million, five-year grant from the National Institute on Aging to establish the North Texas Alzheimer’s Disease Research Center (ADRC). The designation makes it one of 37 such centers nationwide and the second in Texas, according to an announcement.

The new center, based at UT Southwestern Medical Center, will be a focal point for research that could reset how the disease is detected and treated. Scientists plan to probe how cardiometabolic conditions like high blood pressure accelerate dementia, train AI to hear vocal cues of cognitive decline, and build digital replicas of patients to test therapies.

Texas by the numbers

Texas, which is the nation’s second most populous state, has the third-highest number of Alzheimer’s patients, the second-highest Alzheimer’s-related deaths, and the highest dementia burden score, according to UTSW. The dementia burden score is a measure of the emotional and psychological toll on caregivers.

That reality, paired with UT Southwestern’s long-standing strength in neurology and its Peter O’Donnell Jr. Brain Institute, laid the groundwork for the designation.

Tackling cardiometabolic factors in dementia and more

Each Alzheimer’s Disease Research Center operates with a unique theme. In North Texas, the focus will be on advancing the national agenda by exploring how cardiometabolic factors, especially hypertension, contribute to Alzheimer’s and related dementias. Hypertension affects nearly 120 million Americans, according to UTSW.

The center also plans to use AI voice analysis to discover vocal changes that accompany cognitive decline. Researchers will develop “digital twin” technology to create virtual representations of patients, which will help distinguish between factors associated with normal aging and those linked to dementias, according to Dr. Ihab Hajjar, principal investigator of the new center.

“Being named an ADRC is not only an indication of scientific excellence, but also highlights an intentional commitment to research Alzheimer’s disease and cognitive impairment in our community,” said Hajjar, who is professor of neurology and internal medicine at UT Southwestern, in a statement.

Hajjar said the designation gives North Texas “the chance to make an unprecedented leap in understanding and treating Alzheimer’s disease and related dementias.”

Dr. Ihab Haijar [Photo: UT Southwestern Medical Center]

North Texas collaboration in the dementia fight

The designation is designed in collaboration with UT Dallas and UT Arlington.

The North Texas ADRC will not only enable new science but also “enhance scientific and clinical collaborations locally and nationally” while creating education opportunities for researchers, clinicians, and learners, according to UTSW. 

Dr. William T. Dauer, director of the Peter O’Donnell Jr. Brain Institute, points to the new designation as proof of what can happen when institutions combine their strengths.

“This designation reflects the power of bringing together outstanding scientists, clinicians, and community partners to tackle one of the most urgent societal challenges,” Dauer said in the announcement. “It will strengthen our ability to link discoveries from O’Donnell Brain Institute laboratories with the needs of patients and families in North Texas and beyond, accelerating progress against Alzheimer’s disease and related dementias.”

Dr. Elan D. Louis, chair and professor of neurology and an investigator in the O’Donnell Brain Institute, noted that the ADRC reflects momentum already underway across his department.

“Our new ADRC reflects a growing emphasis in the Department of Neurology on learning about, understanding, and treating a group of disorders that affect millions of elderly people nationwide,” Louis said.

Feeding a national data engine for dementia research 

The research generated by all ADRCs will feed into communal datasets that are made publicly available to spur collaboration and speed discovery. Hajjar said those shared efforts could offer “hope to patients with dementia and their loved ones.”

Dementia research is a core area within UTSW, and the new center builds on a decade of work by the O’Donnell Brain Institute.

UTSW also notes its No. 9 ranking for Neurology & Neurosurgery on U.S. News & World Report’s Best Hospitals list and 12 nationally ranked specialties, the most of any hospital in Texas. To date, its faculty have received six Nobel Prizes and include 24 members of the National Academy of Sciences, 23 members of the National Academy of Medicine, and 13 Howard Hughes Medical Institute Investigators.

Leadership brings specialized expertise

UTSW said the center’s leadership team brings long-standing expertise in neurological research with distinct but complementary focuses.  Dr. Dauer holds the Lois C.A. and Darwin E. Smith Distinguished Chair in Neurological Mobility Research. Dr. Hajjar holds the Pogue Family Distinguished University Chair in Alzheimer’s Disease Clinical Research and Care, in Memory of Maurine and David Weigers McMullan. Dr. Louis holds the Linda and Mitch Hart Distinguished Chair in Neurology.

The ADRCs were established in 1984 as congressionally designated NIH Centers of Excellence. The mission includes improving detection, diagnosis, treatment, prevention, and care for patients and families. Each center tailors its theme to local populations and scientific priorities.

The North Texas center joins another Texas ADRC, a collaboration between UT Health San Antonio and The University of Texas Rio Grande Valley designated in 2021, strengthening the state’s role in national dementia research efforts.


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R E A D   N E X T

  • UT Dallas researcher Dr. Walter Voit transformed Minecraft’s 170-million-player universe into an advanced virtual training ground—for students and for AI agents tested by DARPA. His team’s Polycraft World uses gameplay to turn classroom theory into real-world expertise, covering topics from synthetic organic chemistry to nuclear plants to semiconductor facilities. Their new startup company, Pedegree Studios, has licensed the core technologies from the university to create a scalable digital pipeline for education and workforce development.

  • UTA and UT Southwestern researchers have built BIT, a new computational framework that helps scientists identify the proteins that switch genes on and off in cancer and other diseases. The work could pave the way to more targeted treatments and boost gene research accuracy.

  • Organoids without blood vessels can't grow larger than sesame seeds—about 3 millimeters—before dying from lack of oxygen and nutrients. UNT and Stanford researchers say they've solved this problem. Seeds pictured above are not to scale. [Image: Pinchai Puntong/istockphoto]

    Scientists at at the University of North Texas and Stanford Medicine have created tiny artificial organs called organoids with fully formed blood vessel networks. The stem cell-based breakthrough could transform drug testing and disease research while reducing the need for animal models—and expand possibilities for regenerative medicine.

  • What started as a ‘friendly conversation’ on the UNTHSC campus could lead to a breakthrough in treating glaucoma—the leading cause of irreversible blindness, affecting over 80 million people worldwide. With AI, the lab team can speed up the process of screening billions of virtual compounds to attack the problem.

  • Part of the 2025 iC³ Life Science & Healthcare Innovation Summit to be held September 16-17 in Dallas, the showcase pitch event is designed to connect university researchers with potential investors, industry executives, and strategic partners. This is the first year the showcase has expanded beyond Texas.



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xAI CFO Mike Liberatore Leaves After About 3 Months

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Elon Musk’s artificial intelligence startup xAI has reportedly seen a string of executive departures, with the latest being its chief financial officer.

Mike Liberatore joined xAI as CFO in April and left at the end of July, The Wall Street Journal reported Wednesday (Sept. 3), citing unnamed sources.

xAI did not immediately reply to PYMNTS’ request for comment.

Liberatore, a former Airbnb executive, was involved in xAI’s fundraising efforts, including a $5 billion debt sale in June, and oversaw the company’s expansion of its data center near Memphis, according to the report.

Liberatore’s departure follows those of xAI co-founder Igor Babuschkin, who said Aug. 13 he was leaving to start a venture capital firm; xAI General Counsel Robert Keele, who said Aug. 7 that he was leaving to spend more time with his children; and xAI Senior Lawyer Raghu Rao, who left around the same time, the report said.

Babuschkin was with xAI for two years and five months, Keele was with the firm for a year and five months, and Rao was with the company for five months, according to their LinkedIn profiles.

In an Aug. 13 post on social platform X, Babuschkin wrote that “xAI executes at ludicrous speed” and that the company caught up with the frontier of AI despite speculation that the company had arrived too late to the game.

“Catching up to the frontier this quickly hasn’t been easy,” Babuschkin wrote. “It was made possible by everyone’s diehard grit and team spirit.”

Keele wrote in a post on LinkedIn — together with an image that compared leading legal at xAI to shoveling coal — that it was time to choose between his family and the job and that he didn’t get to see his toddlers enough.

“The job was a dream, the team, incredible,” Keele wrote. “Working with Elon on this tech, at this time, was the adventure of a lifetime. Although there’s daylight between our worldviews, his vision, commitment, and smarts blew me away on the daily.”

It was reported in June that xAI expects to spend $13 billion this year while bringing in revenues of $500 million, a scenario that is common across the AI industry due to the demands of the technology.

For all PYMNTS AI and B2B coverage, subscribe to the daily AI and B2B Newsletters.





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