This presentation showcased how Dr. Shahram Yazdani and his interdisciplinary team at UCLA are using AI and OpenAI’s language models to enhance diagnostic precision and address systemic inequities in healthcare. By leveraging text embeddings and semantic vectorization, their projects aim to reduce diagnostic errors, predict hospitalizations, and personalize care—especially for children with complex medical needs in underserved communities. 

Advancing Diagnostic Medicine: The Role of AI in Future Healthcare

This Forum session, led by OpenAI’s Jayna and ESCP’s Louis-David Benyayer, highlighted the transformative role of AI in education, particularly how institutions like ESCP are pioneering campus-wide adoption of generative AI (notably ChatGPT Edu). The session detailed experimental and scalable implementations of custom GPTs, reflections on responsible AI integration, and a broader philosophical shift toward preparing students for an AI-rich world. It underscored the value of change management, experimentation, and community-building in embedding AI tools meaningfully in academic and administrative settings.

From Experiment to Institution-Wide: How AI is Changing European Higher Education

What I Learned at the OpenAI Economics Event

Replay: Learn how AI is reshaping the economy—and why its true impact goes beyond traditional metrics.

Earlier this year, the OpenAI Forum hosted a fireside chat featuring Kevin Weil, Chief Product Officer at OpenAI, and Erik Brynjolfsson, Stanford professor and digital economy expert. They explored how AI differs from past technological revolutions, why its benefits often escape traditional economic measurements, and how businesses can integrate AI to augment—not replace—human workers.


Making AI Work For Everyone

Southeast Asia 

This experience is made possible through a groundbreaking collaboration between OpenAI, the Peranakan Museum, Ask Mona, and ATxSummit, where visitors can use AI to&nbsp;engage in real-time conversations with the museum’s most iconic objects. By simply scanning a QR code next to each piece, they can initiate a multilingual conversation—directly from their smartphones, at their own pace. This partnership shows how AI can enhance our connection to heritage, turning museums into interactive places for storytelling and shared memories.Whether curious about the delicate embroidery of a kebaya, or the traditional significance of a kamcheng porcelain jar, visitors can ask their own questions about iconic pieces and receive personalized answers. This technology transforms a traditional museum visit into an interactive experience, encouraging deeper connections to Peranakan heritage and creating a shared sense of cultural belonging. These living interactions invite visitors to explore not just the artifacts, but the histories, stories, and identities they represent.&nbsp;By making select objects from the Peranakan Museum collection accessible outside the museum itself, we open the door for people around the world to explore and appreciate Southeast Asia’s cultural heritage.During the OpenAI Forum event at ATxSummit, presented by IMDA, you’ll get an intimate introduction to the people responsible for this collaboration, and a tour of the AI app built for the Peranakan.&nbsp;We’ll hear from a senior representative of the Peranakan Museum, CEO and Co-Founder of the Parisian startup Ask Mona who built the AI app, Marion Carré, and OpenAI’s Sandy Kunvatanagarn, who leads APAC policy. Everyone who attends is invited to join OpenAI’s exclusive community of experts, the OpenAI Forum.&nbsp;<blockquote>“At Ask Mona, we design AI-powered experiences that democratize access to culture and make discovery more personal. This collaboration with the Peranakan Museum and OpenAI allows visitors to explore the richness of Peranakan identity in a new way—guided by curiosity, shaped by conversation. It’s an invitation to learn, reflect, and connect more intimately with heritage through the power of generative AI.” — Marion Carré, Co-founder and President of Ask Mona"</blockquote>

OpenAI Forum Presents Living Histories: AI as a Bridge to Cultural Heritage, Memory, and Belonging

<h1>About the Talk:</h1>In a rapidly evolving world shaped by artificial intelligence, understanding the future of work is more critical than ever. This fireside chat brings together two of the most influential voices in economics and technology—Karin Kimbrough, Chief Economist at LinkedIn, and Ronnie Chatterji, Chief Economist at OpenAI—to explore how AI is transforming the job market, workforce dynamics, and the global economy.Drawing on insights from LinkedIn’s vast labor market data and OpenAI’s cutting-edge advancements in artificial intelligence, this conversation will unpack critical questions, including:<ol><li data-list="bullet">How is AI reshaping the skills that are most in demand across industries?</li><li data-list="bullet">What do emerging trends in job postings, skills, and worker mobility tell us about the future of work?</li><li data-list="bullet">How can we ensure AI serves as a tool for workforce empowerment rather than displacement?</li><li data-list="bullet">What policies and strategies can businesses and governments adopt to foster inclusive growth in an AI-driven economy?</li></ol>Join us for a forward-looking discussion that blends data-driven insights with experts! <h1>About the Speakers:</h1><h3>Dr. Karin Kimbrough, Chief Economist @ LinkedIn</h3>Dr. Karin Kimbrough is the Chief Economist for LinkedIn Corporation. Prior to joining the LinkedIn Corporation in 2020, she served as the Assistant Treasurer for Google and the Managing Director and Head of Macroeconomic Policy at Bank of America Merrill Lynch. In addition, Kimbrough worked at the Federal Reserve Bank of New York as a Vice President and Director for the Financial Stability Monitoring Function in the Markets Group from 2005-2014. She serves on the board of directors for Fannie Mae, is an advisor to 3x5 Partners, and serves on the Federal Reserve Bank of Chicago’s Academic Advisory Council and the Economic Advisory Panel of the New York Fed. She holds a Bachelor of Arts from Stanford University, a master’s from Harvard and a Ph.D. from the University of Oxford. <h3>Ronnie Chatterji, Chief Economist @ OpenAI</h3>Aaron “Ronnie” Chatterji, Ph.D., is OpenAI’s first Chief Economist. He is also the Mark Burgess &amp; Lisa Benson-Burgess Distinguished Professor at Duke University, working at the intersection of academia, policy, and business. He served in the Biden Administration as White House CHIPS coordinator and Acting Deputy Director of the National Economic Council, shaping industrial policy, manufacturing, and supply chains. Before that, he was Chief Economist at the Department of Commerce and a Senior Economist at the White House Council of Economic Advisers. He is on leave as a Research Associate at the National Bureau of Economic Research and previously taught at Harvard Business School. Earlier in his career, he worked at Goldman Sachs and was a term member of the Council on Foreign Relations. Chatterji holds a Ph.D. from UC Berkeley and a B.A. in Economics from Cornell University.

Virtual Event: The Future of Work: A Fireside Chat with Industry Leaders  from LinkedIn and OpenAI

<h1>About the Talk:</h1>Discover how AI is transforming mental health care—and what that means for you and your community. Hosted by Dr. Declan Grabb, a Safety Systems researcher at OpenAI, this expert panel unites clinical psychologists, psychiatrists, scientists, and mental health leaders to explore AI-assisted clinical operations, the integration of large language models into therapist workflows and ethical challenges. This session ends with a live Q&amp;A and 1:1 networking session, giving Forum members a chance to directly engage with the panel and the community.&nbsp;Don’t miss the opportunity to connect further during our virtual networking session—please register separately <a href="https://forum.openai.com/home/events/network-session-for-ai-in-clinical-mental-health-enhancing-care-and-expanding-reach-si4dzi2xbn" rel="noopener noreferrer" target="_blank">here</a>. <h1>About the Speakers:</h1><h3>Declan Grabb, Member of Research Staff @ OpenAI</h3>Declan Grabb is a member of the Safety Systems team at OpenAI, with a background in forensic psychiatry and AI research at Stanford. His work centers on the mental health impacts of large language models (LLMs), particularly on youth and the LGBTQ+ community. Before joining OpenAI, Declan was an active Forum member who supported OpenAI’s preparedness efforts by evaluating frontier models. He has collaborated with Common Sense Media to help parents understand the role of AI companions in young people’s lives and has published award-winning research on identifying mental health indicators in language models. Across his work, Declan aims to integrate clinical expertise with AI to improve safety and expand access to mental health care. Here are some of his published work and accomplishments:<ol><li data-list="bullet"><a href="https://www.commonsensemedia.org/articles/parents-ultimate-guide-to-ai-companions-and-relationships" rel="noopener noreferrer" target="_blank">Parents' Ultimate Guide to AI Companions and Relationships</a></li><li data-list="bullet"><a href="https://openreview.net/pdf?id=BODZDzpXUF" rel="noopener noreferrer" target="_blank">pSAE-chiatry: Utilizing Sparse Autoencoders to Uncover Mental-Health-Related Features in Language Models</a></li><li data-list="bullet"><a href="https://openreview.net/pdf?id=1pgfvZj0Rx" rel="noopener noreferrer" target="_blank">Risks from Language Models for Automated Mental Healthcare: Ethics and Structure for Implementation</a> which led him to win the first, inaugural<a href="https://www.psychnews.org/alert_AM2023_5k.html" rel="noopener noreferrer" target="_blank"> O’Leary Award for Innovation in Psychiatry</a></li></ol> <h3>Dr. Nick Obradovich, Chief Scientist for Environmental Mental Health, Laureate Institute for Brain Research.</h3>Nick Obradovich is a computational behavioral scientist focused on how environmental and technological factors influence human behavior and mental health. He serves as Chief Scientist for Environmental Mental Health at the Laureate Institute for Brain Research and holds affiliations with the University of Tulsa and MIT. His past roles include leadership positions at Project Regeneration, the Max Planck Society, and the MIT Media Lab. Nick’s research—published in Nature, The Lancet, and PNAS—spans climate impacts, AI bias, and media manipulation. He earned his PhD from UC San Diego and completed postdoctoral work at Harvard, with support from the NSF, EPA, and OpenAI. Read more about Nick on his personal website <a href="https://www.nickobradovich.com/" rel="noopener noreferrer" target="_blank">here</a>. <h3>Dr. Martin Paulus, Scientific Director &amp; President @ Laureate Institute for Brain Research.</h3>Dr. Martin Paulus is the Scientific Director and President of the Laureate Institute for Brain Research (LIBR) in Tulsa, OK. A psychiatrist and neuroscientist, he has published over 300 papers and has been continuously funded by federal grants since 1997. He is a Principal Investigator on major NIH studies, including the ABCD study and the Tulsa-based T-1000 project, which aims to identify biological predictors of mental health outcomes. Dr. Paulus previously held faculty and clinical roles at UC San Diego and the VA San Diego, and his work focuses on brain function, behavior, and mental health across development. Read more about his work <a href="https://www.laureateinstitute.org/martin-paulus.html" rel="noopener noreferrer" target="_blank">here</a>.&nbsp; <h3>Dr. Olusola Ajilore, Professor of Psychiatry @ University of Illinois at Chicago</h3>Dr. Olusola Ajilore is the Center for Depression and Resilience Professor in Psychiatry at the University of Illinois-Chicago. His research combines neuroimaging, digital biomarkers, and AI to improve diagnosis and treatment of depression, anxiety, and related disorders. His lab focuses on brain connectivity and computational methods to uncover patient-specific targets for intervention. A Harvard graduate, Dr. Ajilore earned his MD/PhD at Stanford studying stress and the brain, and completed a research-track residency at UCLA. He now leads the Mood and Anxiety Disorders Program and serves as Associate Head for Faculty Development, advancing precision approaches in neuropsychiatric care. Read more about him <a href="https://www.psych.uic.edu/profile/olusola-ajilore" rel="noopener noreferrer" target="_blank">here.</a> <h3>Dr. Roy Perlis, Vice Chair for Research (Psychiatry) &amp; Director, Center for Quantitative Health @ Massachusetts General - Brigham</h3>Dr. Roy Perlis is Vice Chair for Research in Psychiatry at Massachusetts General - Brigham, Director of the Center for Quantitative Health, and Professor at Harvard Medical School. His research focuses on identifying biomarkers to predict treatment response in psychiatric disorders, combining patient-derived cellular models with machine learning applied to clinical data. Dr. Perlis has published over 400 papers, including groundbreaking work on depression, schizophrenia, and suicide risk, and has received major funding from NIH and NSF. He also serves as Editor in Chief at JAMA+ AI. Read more about him <a href="https://researchers.mgh.harvard.edu/profile/2429892/Roy-Perlis" rel="noopener noreferrer" target="_blank">here.</a> <h3>Dr. Karthik V. Sarma, Psychiatrist &amp; Investigator, AI in Mental Health Research Group @ UCSF; Co-Founder &amp; CTO @ SimX</h3>Dr. Karthik V Sarma is a psychiatrist at UCSF Health and an investigator at the UCSF AI in Mental Health Research Group; he is also co-founder and Chief Technology Officer at SimX. At UCSF, his research focuses on using AI—particularly large language models—for behavioral health, psychiatric reasoning, and clinical care. He has published extensively at the intersection of AI and clinical informatics. At SimX, he leads technology strategy, including the development of industry leading LLM-driven medical simulations. Dr. Sarma is also heavily involved in policy and is a seated representative in the AMA House of Delegates, the APA Assembly, and the CMA Council on Legislation; he has previously served on the Board of Trustees of the AMA and the CMA. Read more about him <a href="https://ksarma.com/" rel="noopener noreferrer" target="_blank">here</a>.&nbsp; <h3>Dr. Betsy Stade, Clinical Psychologist &amp; Research Scientist @ Stanford Institute for Human-Centered AI</h3>Dr. Elizabeth Stade is a computational clinical psychologist and research scientist at the Stanford Institute for Human-Centered AI, where she works in the Computational Psychology and Well-Being Lab and the FAST (Fidelity, Adaptation, Sustainability, and Training) Lab. Her research focuses on using large language models to enhance evidence-based therapies, streamline clinician training, and analyze patient language. She completed her PhD at the University of Pennsylvania in the Boundaries of Anxiety and Depression Lab and is a member of the World Well-Being Project. Dr. Stade is trained in multiple evidence-based treatments for mood, anxiety, OCD, and trauma-related disorders. Read more about her <a href="https://betsystade.github.io/" rel="noopener noreferrer" target="_blank">here</a>.

Virtual Event: AI in Clinical Mental Health: Enhancing Care & Expanding Reach

<h1>About the Talk:</h1>Join us for a conversation at the intersection of neuroscience, artificial intelligence, and scientific discovery. This event explores how a groundbreaking new study from Scripps Research has revealed the nanoscale structural hallmarks of long-term memory—reshaping long-standing dogmas and offering fresh hope for treating memory loss and cognitive decline.Through a combination of advanced genetic labeling, high-resolution 3D electron microscopy, and AI-assisted image analysis, scientists have reconstructed the intricate networks of memory-encoding neurons in the brain's hippocampus. These findings illuminate how information is stored, maintained, and potentially disrupted, highlighting the brain’s remarkable plasticity.But this is more than just a neuroscience breakthrough. It’s a story of how artificial intelligence is transforming the scientific process itself. From accelerating massive data analysis to enabling new kinds of questions, AI is not just a tool—it’s a scientific partner. We’ll discuss:<ol><li data-list="bullet">What the new research tells us about memory’s physical architecture—and what it means for brain health and therapeutic interventions.</li><li data-list="bullet">How reverse-engineering brain circuits is increasingly dependent on AI tools that can operate at the scale and complexity of living systems.</li><li data-list="bullet">Why AI isn’t just helping us understand the brain—it’s changing how we do science.</li></ol>This conversation is for anyone interested in the future of health, intelligence, and innovation—and how today’s technologies are shaping tomorrow’s breakthroughs.Watch Anton’s first appearance in the Forum, Deciphering the Complexity of Biological Neural Networks <a href="https://forum.openai.com/home/videos/deciphering-the-complexity-of-biological-neural-networks-2024" rel="noopener noreferrer" target="_blank">here</a>. Read more about his research <a href="How scientists uncovered memory’s hidden architecture" rel="noopener noreferrer" target="_blank">here</a> and what the NIH published about it <a href="https://www.nih.gov/news-events/news-releases/study-illuminates-structural-features-memory-formation-cellular-subcellular-levels" rel="noopener noreferrer" target="_blank">here</a>. <h1>About the Speaker:</h1>Dr. Anton Maximov leads a laboratory at The Scripps Research Institute (TSRI) focused on uncovering the mechanisms by which neurons in the mammalian brain form synaptic networks and how these networks are reorganized during memory encoding. His team addresses these questions through a multidisciplinary approach that includes mouse genetics, deep sequencing, biochemistry, optical imaging, three-dimensional electron microscopy (3D-EM), electrophysiology, and behavioral studies.In addition to investigating neural circuitry, Dr. Maximov's group is developing innovative methods to selectively access and manipulate specific neuron types in model organisms using small molecules. The lab is also advancing AI-based techniques for analyzing brain structures within 3D-EM volumes.With over two decades of experience studying neural circuits—both as a postdoctoral fellow and as an independent NIH-funded investigator—Dr. Maximov has successfully mentored numerous young scientists. Many of his trainees have gone on to pursue careers in academia, medicine, and the biotechnology industry. His laboratory is an integral part of a vibrant and collaborative neuroscience community that spans TSRI, UC San Diego, and the Salk Institute.

Virtual Event: Memory’s Blueprint: How AI Is Uncovering and Rebuilding the Architecture of the Mind

AI in Healthcare

<h2>About the Talk:</h2>Join us for a conversation on how artificial intelligence is helping improve and expand access to high-quality diagnostic care—especially in rare and complex diseases, as well as underserved communities.Led by Dr. Shahram Yazdani, Full Professor of Pediatrics at UCLA, this session will highlight how AI can improve diagnostic accuracy, reduce the burden on healthcare providers, and support better outcomes for patients. Rather than a technical deep dive, the event will offer an overview of Dr. Yazdani’s latest work with medical students and residents, showing how computer-assisted tools are reshaping the way diseases and symptoms are modeled.This session is part of a broader conversation about how scientists and clinicians can harness AI, and its fundamental components to deliver higher quality care more broadly, accelerate innovation, and help ensure that the benefits of new technology are shared widely. We hope you’ll join us for a dynamic discussion and networking session.&nbsp; <h2>About the Speaker: </h2>Dr. Shahram Yazdani is a Full Professor of Pediatrics at UCLA, where he serves as Associate Vice Chair of Clinical Affairs at the School of Medicine, and Medical Director of the Children’s Health Center. His research interests include computer-assisted diagnosis, with a focus on modeling diseases and their symptoms, as well as studying the impact of aviation pollution on childhood health. His current work aims to expand access to high-quality diagnoses for individuals in remote or underserved areas, while also reducing the cognitive load on healthcare providers.Recognitions<ol><li data-list="bullet">Super Doctors® Southern California, 2010-2025</li><li data-list="bullet">Neerhoot UCLA Department of Pediatrics Award for Excellence and Contribution to medical education 2010, 2013, 2024</li><li data-list="bullet">Letter of appreciation, Senator Ted Lieu for presenting the data regarding the effect of Jet propulsion pollution in children, 2011</li><li data-list="bullet">Letter of appreciation, Congresswoman Jane Harman for presenting the data regarding the clinical health effect of SM airport on children, 2010</li></ol>

Virtual Event: Advancing Diagnostic Medicine: The Role of AI in Future Healthcare

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