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

The evolving landscape of AI is marked by increasing generality, scalability, and advanced reasoning capabilities—trends exemplified by OpenAI’s "O series" models, which demonstrate the potential for AI to "think" before responding. In remarks by Noam Brown, Researcher at OpenAI, the discussion highlighted two key AI paradigms—pre-training and reasoning—and how models improve as they process more data and compute. These technical advances are not only accelerating model performance but also reshaping the strategic and economic dynamics of AI infrastructure.

Complementing this, discussions led by OpenAI’s Chief Economist Ronnie Chatterji and Forum members explored how AI intersects with geopolitics, national security, and economic policy. They examined the balance between democratic and autocratic approaches to AI development, the implications for global alliances, and how AI infrastructure investments influence both economic and military strategy. Together, these conversations underscore the dual trajectory of AI: accelerating technical progress and deepening its role in global policy, infrastructure, and institutional governance.

Thinking Machines & AI Economics: How Reasoning AI Is Rewriting the Future of Work, Science, and Strategy

The OpenAI Forum session featured two University of Maryland educators—Michel Cukier and Pam Orel—sharing real-world examples of integrating AI, especially ChatGPT, into their teaching. The conversation showcased practical applications, highlighted student engagement and learning improvements, and pointed to a larger vision of AI-enabled personalized education. OpenAI’s Kirk Gulezian framed the discussion within a broader mission to enhance, not replace, education, aligned with democratizing AI benefits and strengthening national competitiveness through innovation in education.

Teaching with AI: Faculty Stories from Maryland Writing & Engineering

Earlier this year, the OpenAI Forum hosted a fireside chat on the economic implications of artificial intelligence with Kevin Weil, Chief Product Officer at OpenAI, and Erik Brynjolfsson, a Stanford University professor who studies the digital economy. They discussed how AI compares to past technological revolutions, why its benefits aren’t fully reflected in traditional metrics, and how to integrate AI so that it augments human workers rather than replacing them. 

Making AI Work For Everyone

AI in Higher Education

<p><em>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!</em></p><h1>About the Talk:</h1><p>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 leaders</p><p>This 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.</p><h1>About the Speakers:</h1><p>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.</p><p>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. </p>

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

AI in Healthcare

<h2><strong>About the Talk:</strong></h2><p>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.</p><p>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.</p><p>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;</p><p><br></p><h2><strong>About the Speaker: </strong></h2><p>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.</p><p><strong>Recognitions</strong></p><ol><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Super Doctors® Southern California, 2010-2025</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>Neerhoot UCLA Department of Pediatrics Award for Excellence and Contribution to medical education 2010, 2013, 2024</li><li data-list="bullet"><span class="ql-ui" contenteditable="false"></span>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"><span class="ql-ui" contenteditable="false"></span>Letter of appreciation, Congresswoman Jane Harman for presenting the data regarding the clinical health effect of SM airport on children, 2010</li></ol><p><br></p>

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

Southeast Asia 

<p>Visitors at the Peranakan Museum can now use AI to talk directly with iconic museum artifacts, exploring the rich narratives and cultural heritage behind each piece.</p><p>This experience is made possible through a groundbreaking collaboration between OpenAI, the Peranakan Museum, and Ask Mona, 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.</p><p>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;</p><p>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.</p><p>During the OpenAI Forum event in the Capella, 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;</p><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><p><br></p>

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

<h1><strong>About the Talk:</strong></h1><p>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! </p><p>After the streamed event, connect 1:1 with OpenAI's Economics Research team and other community members during the networking session. </p><p><br></p><h1><strong>About the Speakers:</strong></h1><h3><strong>Kevin Weil, Chief Product Officer @ OpenAI</strong></h3><p>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.</p><p><br></p><h3><strong>Erik Brynjolfsson, Professor of Operations, Information &amp; Technology, and Economics @ Stanford University Graduate School of Business</strong></h3><p>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</p><p><br></p><h3><br></h3>

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

<h1><strong>About the Talk:</strong></h1><p>AI Economics in the OpenAI Forum was jam packed with research and thought leadership exploring the intersection of AI and all sectors of the economy. Join us for our watch party followed by a live Q&amp;A session with OpenAI researchers and attendees of the all day event that unfolded in OpenAI's San Francisco's office.</p><p>We'll kick off the session with a presentation by Noam Brown, OpenAI research scientist, and former student of economics. Brown argues that generality-contemporary AI models' ability to perform various tasks without being specialized for them, is what makes today’s AI, particularly models like ChatGPT, different from past AI milestones such as IBM’s Deep Blue and Watson.</p><p>The second half the day, attendees of AI Economics broke into smaller groups to discuss themes that aligned with their areas of expertise or deep interest including, AI and decision-making, the impact of AI in education, AI capabilities, AI in geopolitics, AI as an economic research tool, AI and enterprises, and how we can improve data collection to measure AI’s economic effects. Each group shares a recap of their discussion with the larger group, and we're giving Forum members a front row seat to these presentations.</p><p>Stick around to the end and connect with OpenAI Economics researchers and attendees from the event for a live Q&amp;A and networking session.</p><p><br></p><h1><strong>About the Speakers:</strong></h1><h3><strong>Noam Brown, Member of Technical Staff @ OpenAI</strong></h3><p>Noam Brown is a leading researcher in multi-agent reasoning at OpenAI, known for co-creating the first superhuman AIs for no-limit poker and the first human-level AI for the strategy game Diplomacy. He holds a Ph.D. in Computer Science from Carnegie Mellon University and previously worked as a Senior Research Assistant at the Federal Reserve Board, where he researched algorithmic trading in the foreign exchange market.</p><p><br></p><h3><strong>Ronnie Chatterji, Chief Economist @ OpenAI</strong></h3><p>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.</p><p><br></p><h3><strong>Tom Cunningham, Data Scientist @ OpenAI</strong></h3><p>Tom Cunningham is an economist and data scientist with expertise in strategy, antitrust, advertiser behavior, auction design, and network effects, including experimentation, modeling, and tipping points. He is currently a Data Scientist at OpenAI and has previously held roles at Twitter as a Senior Staff Data Scientist and at Facebook as both an Economist in Core Data Science and a Data Scientist. His academic background includes a Ph.D. in Economics from the London School of Economics, and he has also contributed to research and teaching as an Assistant Professor at Stockholm University and a Visiting Associate at Caltech.</p><p><br></p><h3><strong>Hemanth Asirvatham, Economist @ OpenAI</strong></h3><p>Hemanth Asirvatham is a member of the Economic Research team at OpenAI, primarily involved in using LLMs as economic research tools and exploring the intersections of AI with labor, quality of life, and tech adoption. He recently graduated from Harvard University with a degree in Economics.</p>

Virtual: Thinking Machines: How Reasoning AI Is Rewriting the Future of Work, Science, and Strategy

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