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

Explore and leverage Deep Research in ChatGPT to dramatically speed up and elevate your research work. Deep Research, powered by OpenAI’s o3 reasoning model, autonomously browses, analyzes, and synthesizes hundreds of sources to deliver professional-grade, well-cited reports in minutes. Researchers Isa Fulford and Zhiqing (Edward) Sun emphasized that the best results come from clearly stating your research objective while giving the model creative freedom. OpenAI is expanding access and continuously improving safety, making Deep Research a transformative tool for professionals across science, finance, law, and more.

Exploring Deep Research: Three Tips for Better AI-Assisted Inquiry

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

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>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

AI in Higher Education

First-time attendees: If you're having trouble registering, sign up <a href="https://forms.gle/GkFD91L8Ten21YUg6" rel="noopener noreferrer" target="_blank">here</a> and we'll support!<h1>About the Talk:</h1>Join us for the first event in EMEA focused on AI in Higher Education. Featuring Louis-David Benyayer, Associate Professor and AI Initiative Coordinator at ESCP Business School, this session will delve into the transformative role of Custom GPTs in education. We'll start with an exploration of how these AI models personalize instruction and streamline workflows, enhancing the educational experience. The discussion will then pivot to a professor’s perspective on deploying AI at scale, providing firsthand insights into the opportunities and challenges of integrating AI into business school curricula. The session will conclude with a dynamic Q&amp;A, allowing attendees to engage directly with Louis-David, followed by closing remarks and a 1:1 networking opportunity to connect with peers and industry leadersThis event is designed for educators, administrators, and academic leaders looking to understand the practical applications of AI in higher education and explore strategies for effective implementation.<h1>About the Speakers:</h1>Louis-David Benyayer is Associate Professor at ESCP Business School (Paris campus) and is the AI Initiatives Coordinator for the school. His work on AI includes teaching, researching and scaling AI solutions for the school. He is the instructor of several AI courses at the school and acts as scientific director for the Certificate AI for Business. His research focuses on the strategic implications of digital technologies, in particular big data and artificial intelligence. After using Generative AI in his courses for a couple of years he is in charge of coordinating the actions to investigate if and how to scale the use of this technology within faculty, students and staff. He earned his PhD from the Dauphine University and graduated from ESCP Business School.Jayna Devani is OpenAI's International Education lead. She works with educators and policymakers at the forefront of an AI-native education, to support teaching, learning and research. She launched the ChatGPT Edu offering outside the US, and works closely with institutions like ESCP, Oxford, Max-Planck and the Ministry of Education in Estonia. She is a Humanities student, and is curious about what motivates students to learn. <h2>1:1 Networking Session</h2>Here are the steps:<ol><li data-list="ordered">Access the event landing page.</li><li data-list="ordered">Select the Join Event button to enter the event.</li><li data-list="ordered">Select Get Started.</li><li data-list="ordered">Confirm your microphone and video settings and select the Join Now button.</li><li data-list="ordered">If there is another member available to match:</li><li data-list="ordered" class="ql-indent-1">The system will show a potential match and populate the member’s name, profile picture, role, and company.</li><li data-list="ordered" class="ql-indent-1">If interested in meeting with this member over video:</li><li data-list="bullet" class="ql-indent-2">Select the Join Video Call button.</li><li data-list="bullet" class="ql-indent-3">You'll have 30 seconds to join the video call, and the other member has 30 seconds to join as well. You will join a video call with the other member that is set for 10 minutes.</li><li data-list="bullet" class="ql-indent-3">You may leave at any time, or extend the call if it is going well.</li><li data-list="ordered" class="ql-indent-1">If you are not interested in joining the video call with that member:</li><li data-list="bullet" class="ql-indent-2">Do not select Join Video Call and it will not match you (they will not be informed) and you will be put back into the queue for the next available member.</li><li data-list="ordered">If there is no other available member:</li><li data-list="bullet" class="ql-indent-1">A "Working on the magic" page will pop up while the system searches for an available match.</li><li data-list="bullet" class="ql-indent-2">This page will show you the remaining waiting time (up to 1 hour).</li><li data-list="bullet" class="ql-indent-2">You can leave this page and the system will notify you when an available match is found. If you want to navigate back to this page at any time, you select Match from the main menu on the left.</li><li data-list="bullet" class="ql-indent-2">If you no longer wish to match with another member, you can select Cancel from this page.</li></ol>

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

<h1>About the Talk:</h1>Take your seat for an intimate fireside chat between Kevin Weil, Chief Product Officer at OpenAI, and Erik Brynjolfsson, Economics Professor at Stanford, for an exploration of AI’s economic impact, its role in driving productivity, and the challenges in measuring its value. The discussion underscores AI’s transformative potential while emphasizing the need for careful implementation, better measurement tools, and policies that promote innovation and inclusivity. This is an invitation for the entire Forum community to participate in the IRL event which unfolded at OpenAI March 5th. Professor Erik Brynjolfsson will join us at the end for a live Q&amp;A with members! After the streamed event, connect 1:1 with OpenAI's Economics Research team and other community members during the networking session. <h1>About the Speakers:</h1><h3>Kevin Weil, Chief Product Officer @ OpenAI</h3>Kevin Weil is the Chief Product Officer at OpenAI, where he leads the development and application of cutting-edge AI research into products and services that empower consumers, developers, and businesses. With a wealth of experience in scaling technology products, Kevin brings a deep understanding of both consumer and enterprise needs in the AI space. Prior to joining OpenAI, he was the Head of Product at Instagram, leading consumer and monetization efforts that contributed to the platform's global expansion and success. Kevin's experience also includes a pivotal role at Twitter, where he served as Senior Vice President of Product. He played a key part in shaping the platform’s core consumer experience and advertising products, while also overseeing development for Vine and Periscope. During his tenure at Twitter, he led the creation of the company’s advertising platform and the development of Fabric, a mobile development suite. Kevin holds a B.A. in Mathematics and Physics from Harvard University, graduating summa cum laude, and an M.S. in Physics from Stanford University. He is also a dedicated advocate for environmental conservation, serving on the board of The Nature Conservancy. <h3>Erik Brynjolfsson, Professor of Operations, Information &amp; Technology, and Economics @ Stanford University Graduate School of Business</h3>Dr. Erik Brynjolfsson is the Jerry Yang and Akiko Yamazaki Professor and Senior Fellow at the Stanford Institute for Human-Centered AI (HAI), and Director of the Stanford Digital Economy Lab. He is the Ralph Landau Senior Fellow at the Stanford Institute for Economic Policy Research (SIEPR) and holds appointments at the Stanford Graduate School of Business, Stanford Department of Economics, and a Research Associate at the National Bureau of Economic Research (NBER). One of the most-cited authors on the economics of information, Brynjolfsson was among the first researchers to measure productivity contributions of IT and the complementary role of organizational capital and other intangibles. He has done pioneering research on digital commerce, the Long Tail, bundling and pricing models, intangible assets and the effects of IT on business strategy, productivity and performance. Brynjolfsson speaks globally and is the author of nine books including, with co-author Andrew McAfee, best-seller The Second Machine Age: Work, Progress and Prosperity in a Time of Brilliant Technologies, and Machine, Platform, Crowd: Harnessing Our Digital Future as well as over 100 academic articles and five patents. He holds Bachelors and Masters degrees from Harvard University in applied mathematics and decision sciences and a Ph.D. from MIT in managerial economics. His papers can be found here. https://www.brynjolfsson.com/research <h3> </h3>

OpenAI Chief Product Officer Kevin Weil and Stanford Economist, Erik Brynjolfsson in Conversation

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