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Motor vehicle crashes remain one of the leading causes of death among teenagers. For the youngest drivers, getting behind the wheel marks freedom but also comes with measurable risk. At the University of California, Irvine, Dr. Federico Vaca, professor and executive vice chair of emergency medicine, is determined to change that trajectory. “Driving licensure among our youngest drivers remains a major life milestone, and it allows for newfound freedom and opportunity for not only youth but their parents as well. At the same time, learning to drive and licensure come at a time when youth are rapidly moving through life with new transitions in school, with friends, and likely exposure to alcohol and drugs,” he says. “Our priority … is to examine the complexities of young driver behavior and to thoroughly understand crash injury risk and crash prevention among this special group of drivers.” Vaca’s work is at the intersection of health, transportation science and policy. A fellow of the Association for the Advancement of Automotive Medicine and a researcher at UC Irvine’s Institute of Transportation Studies, he previously served as a medical fellow at the U.S. Department of Transportation’s National Highway Traffic Safety Administration in Washington, D.C. His long-standing goal is to prevent the injuries he has seen and treated in emergency departments and trauma centers through rigorous research, using the findings to inform and advance evidence-based programs and policies that save lives on the road. Innovating safety science UC Irvine is home to a new hub for understanding and preventing crash injuries among young drivers, the Brain, Body & Behavior Driving Simulation Lab, founded by Vaca and his interdisciplinary team. At the heart of the B3DrivSim Lab is a high-fidelity, half-cab driving simulator capable of replicating real-world conditions with precision. It uses advanced software to design customized driving scenarios – from complex roadway environments to the inclusion of such human elements as distraction and fatigue – all while capturing real-time video and driving behavior as well as vehicle control metrics. This integration of medicine, behavioral science and engineering enables researchers to measure how developmental and socioecological factors shape driver decisions in unique and consequential ways. The B3DrivSim Lab also represents a growing mentorship ecosystem at UC Irvine. In mid-June, the facility welcomed Siwei Hu, a postdoctoral scholar who earned a Ph.D. in civil and environmental engineering, with a focus on transportation studies, at UC Irvine. Hu works closely with Vaca to combine engineering and modeling analytics with behavioral and crash risk insights. The half-cab driving simulator uses advanced software to replicate real-world conditions and design customized driving scenarios – from complex roadway environments to the inclusion of such human elements as distraction and fatigue – all while capturing real-time video and driving behavior as well as vehicle control metrics. Steve Zylius / UC Irvine From the lab to policy Beyond simulation, Vaca’s latest National Institutes of Health-funded study, separate from his lab’s work, takes this philosophy to the national level. His project, “Modeling a National Graduated-BAC Policy for 21- to 24-Year-Old Drivers,” explores whether lowering the legal blood alcohol limit for young adults could reduce alcohol-related crashes and deaths. “When you turn 21, at that very moment, the application of several alcohol-related prevention laws changes in the blink of an eye,” Vaca says. “Before that, the minimum legal drinking age and zero-tolerance laws are in place to protect young drivers from alcohol-impaired driving. Effectively, the second you turn 21, those prevention policies don’t apply, and you’re suddenly allowed to have a much higher blood alcohol concentration in your body that’s intimately tied to serious and fatal crash risk. It’s a very dangerous disconnect.” The study will use national crash data, behavioral surveys and system dynamics modeling to examine how a “graduated BAC policy” might bridge that gap, giving young adult drivers a safer transition into full legal responsibility and saving many more lives. Bridging science, education and prevention Earlier this year, Vaca and his B3DrivSim team joined prevention program educators, policymakers, engineers and law enforcement professionals in Anaheim at a Ford Driving Skills for Life event, part of a Ford Philanthropy-sponsored national effort teaching teens hands-on safe driving techniques – from hazard recognition to impaired-driving awareness. Speaking to more than 130 high school students and their parents from local and distant communities, Vaca emphasized the connection among driving, independence, opportunity and responsibility. That message aligns with his broader initiative, Youth Thriving in Life Transitions with Transportation, which introduces high school students to traffic safety and transportation science and their role in promoting health, education and employment in early adulthood. By linking research and real-world experience, the project empowers youth to see mobility as a foundation for opportunity with safety as its cornerstone. With overall young driver crash fatalities rising 25 percent nationally over the last decade and a 46 percent increase in fatal crashes where a young driver had a BAC of ≥ .01/dL, Vaca’s work represents a crucial step toward reversing that trend. Through a combination of clinical insight and prevention, transportation and data science underscored by community collaboration, he and his team are redefining how researchers and policymakers think about youth driver safety.
MCG scientists investigate arthritis drug’s impact on Alzheimer’s disease
According to the Alzheimer’s Association, more than 7 million Americans are living with Alzheimer’s disease, and one in nine of those people is 65 or older. Although that number is expected to grow, researchers at the Medical College of Georgia at Augusta University are making progress on studies that could turn into life-saving treatments. Qin Wang, MD, PhD, professor in the Department of Neuroscience and Regenerative Medicine at MCG and Georgia Research Alliance Eminent Scholar in neuropharmacology, recently published a study titled “The PKCι‑β‑arrestin2 axis disrupts SORLA retrograde trafficking, driving its degradation and amyloid pathology in Alzheimer’s disease,” in Molecular Degeneration, a leading journal in neurodegeneration. In the study, Wang and her team explored how certain proteins and enzymes interact in the brains of Alzheimer’s patients. Key players include the SORL1 gene, the PKCι enzyme and proteins SORLA, β‑arrestin2 and amyloid. SORL1 encodes SORLA, which helps regulate amyloid. Amyloid can form plaque in the brain, contributing to Alzheimer’s. People with the disease often have lower SORLA levels, which amplifies plaque production. “The goal is to increase SORLA levels in patients with AD. If we can boost it up, that would be great,” Wang said. “But if you want to know how to boost it up, you have to know how it is degraded, so that’s what our work is about – we’re trying to understand how its stability is regulated.” Wang’s research team found that PKCι can add a phosphate group to SORLA, which helps SORLA interact with β‑arrestin2. The PKCι‑β‑arrestin2 axis leads to SORLA degradation, reducing its levels and allowing amyloid plaques to grow unchecked, thereby worsening the disease condition. They discovered this by using biochemical methods and a mass spectrometer managed by Wenbo Zhi, PhD, at the Proteomics and Mass Spectrometry core lab at AU. “We conducted biochemical studies and found that SORLA can be phosphorylated. We identified the phosphorylation site and the interacting enzymes,” Wang explained. “Using the mass spectrometer with PKCι, we saw increased phosphorylation of SORLA at certain sites. Preventing that could stop SORLA degradation.” That’s where a rheumatoid arthritis drug called auranofin comes into play. “While it is an arthritis drug, it can also inhibit the PKCι enzyme,” Wang explained. The team conducted tests using Alzheimer’s mouse models and human iPS cells developed into neurons. For the mouse models, they treated the mice with auranofin for eight weeks, resulting in decreased amyloid levels, reduced neuroinflammation and improved cognitive function. Similar results were seen in human cells with increased SORLA levels and decreased amyloid levels. “A good thing about this is, because this is an FDA-approved drug, it’s ready to be tested in Alzheimer’s patients,” Wang said. “People often worry about drug safety because of long-term use in chronic diseases like Alzheimer’s, but, in this case, existing safety data for chronic use gives a good starting point for testing in Alzheimer’s patients. “I hope a drug company can pick that up for a trial with Alzheimer’s patients because we are trying to translate our bench work all the way to the bedside for treatment,” she continued. The study wraps up a five-year National Institute on Aging grant, a collaborative effort between Wang’s lab and the Kai Jiao, MD, PhD, lab in AU’s Center of Biotechnology and Genomic Medicine. Wang’s team is also working on other grant-funded Alzheimer’s-related projects and hopes to continue making advancements toward finding a cure for this debilitating disease. “All of our projects share the goal of finding a better treatment,” Wang said. “Related to this project in particular, we want to know how the SORLA protein works in different types of brain cells, given the brain’s complexity. Then we can determine how to specifically target that protein to develop more effective therapies.” Qin Wang, MD, PhD, researches the neuropharmacology and signaling mechanisms underlying neurological and psychiatric disorders. If you're interested in learning more about her work or booking an interview, simply click on her icon now to arrange a time to talk.
Multi-university AI research may revolutionize wildfire evacuation
As wildfires grow wilder, the University of Florida and two other universities are developing large language models to make evacuations safer and more efficient. Armed with a nearly $1.2 million National Science Foundation grant, UF, Johns Hopkins University and the University of Utah are creating these AI-based models to simulate human behavior during evacuations – information that will help emergency managers shape more effective evacuation plans. “Strengthening wildfire resilience requires accurate modeling and a deep understanding of collective human behavior during evacuations,” said UF project lead Xilei Zhao, Ph.D., an associate professor with the Engineering School of Sustainable Infrastructure and Environment. “There is a critical need for simulation models that can realistically capture how civilians, incident commanders and public safety officials make protective decisions during wildfires.” Xilei Zhao focuses on developing and applying data and computational science methods to tackle problems in transportation and resilience. View her profile here Existing simulation models face limitations, particularly with reliable predictions under various wildfire scenarios. New AI models can simulate how diverse groups of people behave and interact during the hurried scramble to seek safety. Zhao’s team is developing a convergent AI framework for wildfire evacuation simulations powered by psychological theory-informed large language models. The project will produce simulation methods to promote teaching, training and learning, and support wildfire resilience by allowing public safety officials to use open-access tools. “This research seeks to be a transformative step toward improving the behavioral realism, prediction accuracy and decision-support capability of wildfire evacuation simulation models,” Zhao said. Zhao partnered with John Hopkins professor Susu Xu, Ph.D., and University of Utah professors Thomas Cova, Ph.D., and Frank Drews, Ph.D. The preliminary results of the study were recently presented at the 63rd Annual Meeting of the Association for Computational Linguistics. “In that paper, we started to train the model on the survey data we collected to see how we can accurately predict people's evacuation decisions with LLMs,” Zhao said. Research objectives include extending the Protective Action Decision Model for civilians and public safety officials, developing psychological theory-informed large language model agents for protective modeling and generating a realistic synthetic population as input for the simulation platform. The team also plans to develop learning-based simulations and predict human behavior under scenarios such as fire spread, warning and infrastructure damage. This research comes at a critical time, as the number of wildfires has significantly increased globally. About 43% of the 200 most damaging fires occurred in the last decade leading up to 2023, according to a recent study in Science. The intensity, size and volume of wildfires are threatening more urban areas. “If you go into the urban area, many people do not have cars, or they need additional mobility support,” Zhao said. “For example, the LA fires impacted nursing homes with a lot of elderly people, many of whom are immobile or lack the ability to drive. That's a big problem. This would be very relevant to them.” The large language models will provide important context for evacuation planning as well as real-time decision making. “We envision this tool being used during planning,” Zhao said, “so emergency managers can test different kinds of scenarios to determine how to draw the evacuation zones, where to issue the orders first and how to design the communications messaging.” This is important research and critical as wildfires become more common across North America. If you're a reporter looking to connect and learn more - then let us help. Xilei Zhao is available to speak with media - simply click on her icon now to arrange an interview today.
How LSU is Helping Keep Louisiana at the Center of the Nation’s Seafood Map
1. Strengthening the Seafood Workforce Through outreach programs like Louisiana Fisheries Forward, a partnership between Louisiana Sea Grant and the Louisiana Department of Wildlife and Fisheries, LSU helps fishers and processors modernize their operations. These voluntary programs teach best practices in handling, traceability, and sustainability — directly improving product quality and market reputation. LSU’s extension agents also provide hands-on disaster recovery assistance after hurricanes and market disruptions, helping ensure Louisiana’s seafood workforce remains resilient and ready for the next season. 2. Building Seafood Resilience The total economic value for oysters in 2018 was more than $180 million. Resilience defines LSU’s seafood science. Researchers at the LSU AgCenter and Louisiana Sea Grant are leading selective breeding programs and developing genetic tools to combat disease, temperature changes, and salinity stress. With a powerful combination of hatchery capacity, genetics expertise, and industry collaboration, LSU is helping Louisiana’s seafood industry adapt faster and smarter — protecting both the food supply and the economic backbone of coastal communities. 3. Powering Economic Growth Every part of LSU’s seafood research and outreach ties directly to Louisiana’s economy. AgCenter economists analyze market data and advise state and federal partners on strategies to grow the seafood sector. Meanwhile, Sea Grant specialists help entrepreneurs develop value-added seafood products, from branded lines to ready-to-eat options, that increase profit margins and create new jobs in coastal towns. By helping Louisiana seafood businesses stay competitive, LSU keeps more of the industry’s economic benefits right here at home. 4. Supporting Communities Louisiana’s seafood industry faces constant challenges. LSU’s coastal extension agents and Sea Grant programs provide on-the-ground support to help communities recover and rebuild after disasters. Whether assisting with dock repairs, connecting fishers to relief programs, or helping restart operations, LSU’s commitment ensures that Louisiana’s coastal workforce can weather any storm. 5. Preparing the Next Generation LSU’s work extends from the lab to the dock — and into the classroom. New research and education programs are training future scientists, producers, and entrepreneurs to continue Louisiana’s seafood legacy. For new LSU students interested in the coast, Bayou Adventure, a trip created by the College of the Coast & Environment (CC&E), was designed specifically to educate incoming freshmen about some of the challenges and marvels of the Louisiana coastline. The trip stops at sites that showcase "not just the significance of these areas to the state and nation, but the important work that is being done to sustain and preserve them," said Clint Willson, dean of CC&E. Through workforce development, hands-on learning, and applied research, LSU is shaping the next wave of innovators who will protect Louisiana’s coast and ensure its seafood remains world-renowned. Looking Ahead As the seafood industry faces new challenges and opportunities, LSU’s mission remains clear: to protect Louisiana’s coast, empower its seafood workforce, and ensure the state remains synonymous with the best seafood in America.
Expert Spotlight: Advancing Child & Youth Behavioral Health with MBC
Children and youth today face increasingly complex mental health challenges, requiring care that is personalized, evidence-based, and responsive to evolving needs. Measurement-Based Care (MBC), also referred to as Measurement-Informed Care (MIC), is a proven framework that leverages client-reported data to guide treatment decisions, enhance engagement, and improve clinical outcomes. With CARF’s updated accreditation standards now requiring MBC in youth services, organizations globally are prioritizing its adoption. On September 30, Greenspace Health brought together a panel of experts including Theresa Lindberg, MSC, LPC, Managing Director for Child and Youth Services, CARF International, who shared real-world examples, lessons learned from successful implementations, and actionable strategies for embedding MBC in youth-serving organizations. The webinar was recorded and is available below for viewing. This is an important topic, and if you are interested in learning more - then let us help. Theresa Lindberg is Managing Director of Child and Youth Services at CARF International. If you are looking to connect with Theresa , view her profile below to arrange an interview today.
The e-learning resource, Supporting people living with long COVID, was developed by the Centre for Pharmacy Postgraduate Education (CPPE) It is designed to help community pharmacy teams build their skills, knowledge and confidence The programme offers video and audio resources, practical consultation examples and strategies for supporting individuals. Professor Ian Maidment at Aston Pharmacy School has been involved in a project with the Centre for Pharmacy Postgraduate Education (CPPE) to develop a new e-learning programme for community pharmacists, called Supporting people living with long COVID. The programme is designed to help community pharmacy teams build their skills, knowledge and confidence to support people managing the long-term effects of COVID-19. It was developed with researchers undertaking the National Institute for Health and Care Research (NIHR)-funded PHARM-LC research study: What role can community PHARMacy play in the support of people with long COVID? During the development of the e-learning resource, as well as with Professor Maidment, CPPE worked in collaboration with researchers from Keele University, the University of Kent, Midlands Partnership University NHS Foundation Trust and lechyd Cyhoeddus Cymru (Public Health Wales). The research draws on lived experience of long COVID, as well as the views of community pharmacy teams on what learning they need to better support people living with the condition. This new programme offers video and audio resources, practical consultation examples and strategies for supporting individuals through lifestyle advice, person-centred care and access to wider services. Professor Maidment said: “As an ex-community pharmacist, community pharmacy can have a key role in helping people living with long COVID. The approach is in line with the NHS 10 Year Health Plan, which aims to develop the role of community pharmacy in supporting people with long-term conditions.” Professor Carolyn Chew-Graham, professor of general practice research at Keele University, said: “Two million people in the UK are living with long COVID, a condition people are still developing, which may not be readily recognised, because routine testing for acute infection has largely stopped. For many, the pharmacy is the first place they seek advice about persisting symptoms following viral infection. The pharmacy team, therefore, has the potential to play a really important role in supporting people with long COVID. This learning programme provides evidence-based information to develop the confidence of pharmacy staff in talking to people with long COVID. Developed with people living with long COVID, the programme’s key message is to believe and empathise with people about their symptoms.” Visit www.cppe.ac.uk/programmes/l/covid-e-01 to access the e-learning programme. This project is funded by the National Institute for Health Research (NIHR) under its Research for Patient Benefit (RfPB) Programme (Grant Reference Number NIHR205384).
In the two years since Augusta University and Wellstar Health System formally signed an agreement on August 30, 2023, the historic partnership has continued to evolve into a truly collaborative alliance. At its heart, the mission hasn’t changed: improving the health and wellbeing of all Georgians while educating and preparing the next generation of health care providers through access to world-class training. That was the message shared by Augusta University President Russell T. Keen, Medical College of Georgia at Augusta University Dean David C. Hess, MD, and former Wellstar President and CEO Candice L. Saunders at the recent Health Connect South conference held at the Georgia Aquarium in Atlanta. During their panel “Advancing Healthcare Through Public-Private Partnerships,” the three leaders – each instrumental in helping to create, implement and mold the historic partnership – shared with close to 1,100 attendees their insight into what makes the partnership beneficial for all and how it can be a model for advancing health care and health care education in Georgia and beyond. The full panel discussion is available for viewing here: It was an important event, and a full article is attached below as well. And if you're interested in learning more about the partnership between Augusta University and Wellstar, or connect with Augusta's President Russell T. Keen - simply click on his icon now to arrange an interview today.
Inside the Classroom: LSU Psychologist Shares Insight on Student Attention Spans
What large changes have schools seen over the past few years regarding attention spans? "Being distracted by something in nature when trying to do a task may have been the first type of distraction, along with internal distractions, such as thinking about something else when you are trying to complete a task. Thus, distraction is not new. What’s new today is that the types of distractions are more complex and can even be individually tailored to capture someone’s attention, which can lead to more temptations to shift our attention off of one task and over to something else." What are innocuous ways students can harm their attention spans? What effect do phones have on retention ability? "One way I think that students can harm their own task progress is to believe that they can truly multitask or do more than one thing at one time. If you are completing a homework assignment and you are tempted to check your social media feed, you are causing a switch of your attentional focus. It may seem quick and somewhat harmless, but numerous studies have indicated that trying to switch back and forth between two tasks results in more errors and has the overall effect of taking longer to complete the main task. Thus, put simply, do not multitask. Set aside a time limit, say 20 or 30 minutes, to solely focus on one assignment or one study guide. Then take a break." How can a depleted attention span affect general physical and mental health in children? "Mental effort can be as tiring as physical efforts. As a field, we now understand the importance of sleep and overall health for our cognitive systems. To support the efforts of sustained attention, it is important to recognize that learning takes time and it takes energy. In terms of young children, the many processes involved in the development of the body and the mind require more sleep than older children and adults. How may fixing a memory deficit look different in a teen versus a child? "Younger children need more breaks than older children, as well as needing more sleep. However, younger children are able to maintain their focus of attention. They may need more guidance and something we call “scaffolding." This term is used to indicate that the older learners may already have a framework to use to build their knowledge, whereas younger learners are starting from scratch. Providing extra support that is relative to their age and ability helps children to perform at their maximum level." Are schools set up to most efficiently stimulate students' minds? "When I think about the classrooms of early childhood settings, such as pre-K and lower elementary schools, the classrooms are set up to encourage learning. There are brightly colored pictures and words on the walls; there are reading nooks that are comfortable and easy to reach for smaller learners; there are spaces to move the desks around the room to allow for different configurations of the space; and so forth. As children get older, the classroom spaces start to reflect these changes and allow for different interactions between the students and the material. I think about a high school science lab with tables and equipment, as compared to a history classroom with classical book titles and historical figures displayed on the walls. I believe the physical spaces of many classrooms are well-suited to match the skills and capabilities of the children as they grow, because they are designed to meet the children where they are." What tools would you recommend teachers use to help students strengthen their learning skills? "As I mentioned earlier, learning new material takes time and effort. It is important for children and adults to realize this and to allow time and space for learning. Sometimes adults can forget what it was like to learn something new for the first time, because they already have a foundation for their knowledge. Children are acquiring new information, new skills, and making new connections in their neural networks every day. We learn by associating information with things we already know, and also by making new connections. I mean this in a figurative sense, such as thinking about how one vocabulary word may relate to another one, as well as in a literal neural sense. Our brains work by making connections between neurons to create neural networks." Does knowing what kind of learner you are (audio, visual, or descriptive) help you improve your memory? "In terms of learning styles, this has been a pervasive but misleading concept. I believe it has stuck around because it is also intuitive. People have preferences. We know this, and it is very apparent in almost all aspects of life (our fashion, our food choices, etc). However, having a preference is not the same thing as being limited to learning in only one modality. In fact, research has shown that teaching new information in more than one modality is the most effective way." What has been the most surprising result from your research? "Children are incredibly capable of vast amounts of learning. I do not think we give children enough credit for the acquisition of so many skills in a relatively short amount of time. As just one example, if an adult learner has ever tried to become proficient in a second language, they will realize that it is a difficult task. However, young children can pick up a second language in a manner that seems almost effortless. This is just one example of the fantastic capabilities and flexibilities of the young mind."
LSU Ranked #1 University in Louisiana, Climbs in National WSJ Ranking
Louisiana State University has been named the #1 university in Louisiana and climbed to No. 179 in the nation in the Wall Street Journal's 2026 Best Colleges in the U.S. Rankings. This marks a steady rise from LSU's No. 188 ranking in 2025. The Wall Street Journal ranking evaluates universities on several measures, including student outcomes, campus experience, and financial value, with LSU earning an overall score of 69.4. Among the highlights: Student Outcomes: LSU scored a 75 for graduation rate and a 71 for salary impact, underscoring strong student success and career readiness. Value: The report highlights LSU's affordability and return on investment, with an average net price of $20,015 and graduates experiencing a value-added average wage increase of $37,023. Efficiency: LSU graduates, on average, are projected to pay off their education in just 2 years and 1 month. Student Experience: LSU earned strong marks for learning facilities (69), career preparation (67), and recommendation score (72). "Given the exceptional year LSU has had, it's no surprise we're rising in national rankings. LSU is recognized as the top university in Louisiana, and that's exactly what you should expect from an institution whose mission is to serve this state. That recognition tells me we're delivering on our promise to our students and to the people of Louisiana," said LSU Interim President Matt Lee. The ranking builds on LSU's Scholarship First Agenda, which focuses on advancing research, improving student success, and fueling Louisiana's workforce and economy. For the full rankings, visit Wall Street Journal Best Colleges 2026.
#Expert Perspective: When AI Follows the Rules but Misses the Point
When a team of researchers asked an artificial intelligence system to design a railway network that minimized the risk of train collisions, the AI delivered a surprising solution: Halt all trains entirely. No motion, no crashes. A perfect safety record, technically speaking, but also a total failure of purpose. The system did exactly what it was told, not what was meant. This anecdote, while amusing on the surface, encapsulates a deeper issue confronting corporations, regulators, and courts: What happens when AI faithfully executes an objective but completely misjudges the broader context? In corporate finance and governance, where intentions, responsibilities, and human judgment underpin virtually every action, AI introduces a new kind of agency problem, one not grounded in selfishness, greed, or negligence, but in misalignment. From Human Intent to Machine Misalignment Traditionally, agency problems arise when an agent (say, a CEO or investment manager) pursues goals that deviate from those of the principal (like shareholders or clients). The law provides remedies: fiduciary duties, compensation incentives, oversight mechanisms, disclosure rules. These tools presume that the agent has motives—whether noble or self-serving—that can be influenced, deterred, or punished. But AI systems, especially those that make decisions autonomously, have no inherent intent, no self-interest in the traditional sense, and no capacity to feel gratification or remorse. They are designed to optimize, and they do, often with breathtaking speed, precision, and, occasionally, unintended consequences. This new configuration, where AI acting on behalf of a principal (still human!), gives rise to a contemporary agency dilemma. Known as the alignment problem, it describes situations in which AI follows its assigned objective to the letter but fails to appreciate the principal’s actual intent or broader values. The AI doesn’t resist instructions; it obeys them too well. It doesn’t “cheat,” but sometimes it wins in ways we wish it wouldn’t. When Obedience Becomes a Liability In corporate settings, such problems are more than philosophical. Imagine a firm deploying AI to execute stock buybacks based on a mix of market data, price signals, and sentiment analysis. The AI might identify ideal moments to repurchase shares, saving the company money and boosting share value. But in the process, it may mimic patterns that look indistinguishable from insider trading. Not because anyone programmed it to cheat, but because it found that those actions maximized returns under the constraints it was given. The firm may find itself facing regulatory scrutiny, public backlash, or unintended market disruption, again not because of any individual’s intent, but because the system exploited gaps in its design. This is particularly troubling in areas of law where intent is foundational. In securities regulation, fraud, market manipulation, and other violations typically require a showing of mental state: scienter, mens rea, or at least recklessness. Take spoofing, where an agent places bids or offers with the intent to cancel them to manipulate market prices or to create an illusion of liquidity. Under the Dodd-Frank Act, this is a crime if done with intent to deceive. But AI, especially those using reinforcement learning (RL), can arrive at similar strategies independently. In simulation studies, RL agents have learned that placing and quickly canceling orders can move prices in a favorable direction. They weren’t instructed to deceive; they simply learned that it worked. The Challenge of AI Accountability What makes this even more vexing is the opacity of modern AI systems. Many of them, especially deep learning models, operate as black boxes. Their decisions are statistically derived from vast quantities of data and millions of parameters, but they lack interpretable logic. When an AI system recommends laying off staff, reallocating capital, or delaying payments to suppliers, it may be impossible to trace precisely how it arrived at that recommendation, or whether it considered all factors. Traditional accountability tools—audits, testimony, discovery—are ill-suited to black box decision-making. In corporate governance, where transparency and justification are central to legitimacy, this raises the stakes. Executives, boards, and regulators are accustomed to probing not just what decision was made, but also why. Did the compensation plan reward long-term growth or short-term accounting games? Did the investment reflect prudent risk management or reckless speculation? These inquiries depend on narrative, evidence, and ultimately the ability to assign or deny responsibility. AI short-circuits that process by operating without human-like deliberation. The challenge isn’t just about finding someone to blame. It’s about whether we can design systems that embed accountability before things go wrong. One emerging approach is to shift from intent-based to outcome-based liability. If an AI system causes harm that could arise with certain probability, even without malicious design, the firm or developer might still be held responsible. This mirrors concepts from product liability law, where strict liability can attach regardless of intent if a product is unreasonably dangerous. In the AI context, such a framework would encourage companies to stress-test their models, simulate edge cases, and incorporate safety buffers, not unlike how banks test their balance sheets under hypothetical economic shocks. There is also a growing consensus that we need mandatory interpretability standards for certain high-stakes AI systems, including those used in corporate finance. Developers should be required to document reward functions, decision constraints, and training environments. These document trails would not only assist regulators and courts in assigning responsibility after the fact, but also enable internal compliance and risk teams to anticipate potential failures. Moreover, behavioral “stress tests” that are analogous to those used in financial regulation could be used to simulate how AI systems behave under varied scenarios, including those involving regulatory ambiguity or data anomalies. Smarter Systems Need Smarter Oversight Still, technical fixes alone will not suffice. Corporate governance must evolve toward hybrid decision-making models that blend AI’s analytical power with human judgment and ethical oversight. AI can flag risks, detect anomalies, and optimize processes, but it cannot weigh tradeoffs involving reputation, fairness, or long-term strategy. In moments of crisis or ambiguity, human intervention remains indispensable. For example, an AI agent might recommend renegotiating thousands of contracts to reduce costs during a recession. But only humans can assess whether such actions would erode long-term supplier relationships, trigger litigation, or harm the company’s brand. There’s also a need for clearer regulatory definitions to reduce ambiguity in how AI-driven behaviors are assessed. For example, what precisely constitutes spoofing when the actor is an algorithm with no subjective intent? How do we distinguish aggressive but legal arbitrage from manipulative behavior? If multiple AI systems, trained on similar data, converge on strategies that resemble collusion without ever “agreeing” or “coordination,” do antitrust laws apply? Policymakers face a delicate balance: Overly rigid rules may stifle innovation, while lax standards may open the door to abuse. One promising direction is to standardize governance practices across jurisdictions and sectors, especially where AI deployment crosses borders. A global AI system could affect markets in dozens of countries simultaneously. Without coordination, firms will gravitate toward jurisdictions with the least oversight, creating a regulatory race to the bottom. Several international efforts are already underway to address this. The 2025 International Scientific Report on the Safety of Advanced AI called for harmonized rules around interpretability, accountability, and human oversight in critical applications. While much work remains, such frameworks represent an important step toward embedding legal responsibility into the design and deployment of AI systems. The future of corporate governance will depend not just on aligning incentives, but also on aligning machines with human values. That means redesigning contracts, liability frameworks, and oversight mechanisms to reflect this new reality. And above all, it means accepting that doing exactly what we say is not always the same as doing what we mean Looking to know more or connect with Wei Jiang, Goizueta Business School’s vice dean for faculty and research and Charles Howard Candler Professor of Finance. Simply click on her icon now to arrange an interview or time to talk today.
