Leadership-Driven AI Initiatives 

AI and Academic Research 

AI & Pedagogy 

OpenAI for Education 

<h1>This event has been postponed. We will share the new date as soon as it is confirmed.</h1>Event SummaryJoin DC-area cultural heritage organizations to explore how AI can enhance engagement with audiences while strengthening the authenticity and relevancy of library, archives and museum (LAM) collections. The OpenAI Forum, in collaboration with the Library of Congress, the DC Chapter of AI4LAM and Ask Mona, will highlight the ways historical and arts institutions can leverage AI to make exhibits more interactive, accessible and discoverable for audiences. It will also lay the groundwork for more cultural heritage conversations and collaborations with AI tied to the country’s 250th anniversary and AI4LAM’s 2026 annual meeting in DC next year.&nbsp;Our program unfolds in three dynamic segments:Presentations: Leaders from the Library of Congress, the National Gallery of Art AI4LAM (Libraries, Archives, and Museums), and Ask Mona will share their most inspiring use cases—showcasing how AI is being applied to make collections newly discoverable and understandable to both scholars and the public.Panel Discussion: All presenters will come together in a moderated conversation to reflect on the opportunities and challenges of bringing AI into cultural heritage institutions, and to exchange perspectives across disciplines.Live Demonstration: We close with an interactive tour of the Library of Congress’s permanent Thomas Jefferson Library collection—temporarily augmented with AI—offering participants a first-hand look at how technology can animate and reframe historic archives. Specifically, we will engage with the following historical artifacts from this archive:&nbsp;<ol><li data-list="bullet">Phyllis Wheatley’s Poems on Various Subjects, Religious and Moral</li><li data-list="bullet">Thomas Jefferson’s copy of The Federalist</li><li data-list="bullet">The Dunlap Broadside (first printing of the Declaration of Independence)</li><li data-list="bullet">American Entomology by Thomas Say</li></ol>

POSTPONED: Enriching Cultural Heritage with Artificial Intelligence

<h3>OpenAI Forum Higher Education Guild</h3>October 20, 2025 · 2–7 PM PT · 1515 3rd Street insteadMB2 Ad Astra &amp; Rooftop Lounge, San FranciscoInvite-only convening | Request invite via the OpenAI ForumOpenAI invites leading faculty innovators and select university leaders to join an afternoon of insight, exchange, and co-creation. This inaugural Higher Education Guild gathering will showcase lighthouse use cases of AI in teaching and academic research; feature leadership-led AI initiatives and investments at the university level and surface the challenges educators face as generative AI reshapes the classroom.Participants will:<ol><li data-list="bullet">Hear faculty presentations highlighting cutting-edge pedagogy and AI-enabled research.</li><li data-list="bullet">Work through tabletop exercises designed to both tackle emerging challenges—such as student use of ChatGPT and AI literacy on campus—and surface individual educator use cases that can inform and inspire peers.</li><li data-list="bullet">Co-create practical solutions and resources that will be shared broadly with the higher-education community.</li><li data-list="bullet">Help shape an ongoing, trusted Forum Guild for educators and leaders to continue this dialogue beyond the event.</li></ol>Together, we will co-create solutions and explore new possibilities for leveraging AI in teaching, research, and institutional innovation.

Higher Education  Guild in the  OpenAI  Forum

<h1>About the Talk:</h1>Many exciting and wonderful things are happening in AI all the time — but how can we understand the bigger picture? Why are these breakthroughs happening now, and what core research is driving them?In this talk, OpenAI Research Scientist Łukasz Kaiser presents a simple model for thinking about progress: how we are making increasingly computationally powerful systems more learnable. Like any model, it has its flaws, but it has guided Łukasz from co-authoring the Transformer architecture in Attention Is All You Need (2017), to advancing model-based reinforcement learning for Atari (2019), and most recently to co-developing contemporary reasoning models at OpenAI.Lukasz will share how this framework helps him organize his thinking and research about AI — and what it may mean for the future.Don’t miss the opportunity to learn alongside one of the most influential AI research scientists of our time as he explores how OpenAI is building tools to help humanity solve its hardest problems. <h1>About the Speakers:</h1><h2>Lukasz Kaiser </h2>Lukasz is a deep learning researcher at OpenAI and was previously part of the Google Brain team. He works on fundamental aspects of deep learning and natural language processing. He has co-invented Transformers, reasoning models and other neural sequence models and co-authored the TensorFlow system and the Tensor2Tensor and Trax libraries. Before working on machine learning, Lukasz was a tenured researcher at University Paris Diderot and worked on logic and automata theory. He received his PhD from RWTH Aachen University in 2008 and his MSc from the University of Wroclaw, PolandNotable Research:&nbsp;Attention Is All You Need (Vaswani et al. 2017) — the original Transformer paper<a href="https://arxiv.org/abs/1706.03762?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank"> </a><a href="https://arxiv.org/abs/1706.03762?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank">arXiv</a><a href="https://research.google/blog/transformer-a-novel-neural-network-architecture-for-language-understanding/?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank">Google Research</a>Model-Based Reinforcement Learning for atari (Kaiser, Babaeizadeh, Milos, Osinski et al. 2019) <a href="https://scholar.google.com.sg/citations?view_op=view_citation&amp;hl=en&amp;user=JWmiQR0AAAAJ&amp;citation_for_view=JWmiQR0AAAAJ:nb7KW1ujOQ8C" rel="noopener noreferrer" target="_blank">arXivGoogle Research</a>Reformer: The Efficient Transformer (Kitaev, Kaiser &amp; Levskaya, 2020) — an efficient long-sequence Transformer variant<a href="https://arxiv.org/abs/2001.04451?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank"> </a><a href="https://arxiv.org/abs/2001.04451?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank">arXiv</a>Image Transformer (Parmar, Vaswani, Uszkoreit, Kaiser, Shazeer, Ku, Tran, 2018) — applying the Transformer architecture to image generation<a href="https://proceedings.mlr.press/v80/parmar18a.html?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank"> </a><a href="https://proceedings.mlr.press/v80/parmar18a.html?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank">Proceedings of Machine Learning Research</a><a href="https://arxiv.org/abs/1802.05751?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank">arXiv</a>Can Active Memory Replace Attention? (Kaiser &amp; Bengio, NeurIPS 2016) — exploring alternatives to attention mechanisms in neural sequence models<a href="https://papers.nips.cc/paper/6295-can-active-memory-replace-attention?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank"> </a><a href="https://papers.nips.cc/paper/6295-can-active-memory-replace-attention?utm_source=chatgpt.com" rel="noopener noreferrer" target="_blank">NeurIPS Papers</a> <h2>Natalie Cone</h2>Natalie Cone leads OpenAI’s interdisciplinary community, the Forum, a community designed to unite thoughtful contributors from a diverse array of backgrounds, skill sets, and domain expertise to enable discourse related to the intersection of AI and an array of academic, professional, and societal domains. Before joining OpenAI, Natalie managed and stewarded Scale’s ML/AI community of practice. She has a background in the Arts, with a degree in History of Art from UC, Berkeley, and has served as Director of Operations and Programs, as well as on the board of directors for the radical performing arts center, CounterPulse, and led visitor experience at Yerba Buena Center for the Arts.

Virtual Event: Learning Powerful Models: From Transformers to Reasoners and Beyond

<h1>About the Event:</h1>In this conversation moderated by CNN’s Jim Sciutto, OpenAI’s Ben Nimmo will share highlights from the company’s latest threat intelligence report, which examines emerging tactics used by online covert influence operations and coordinated attempts to misuse AI. The discussion will explore what OpenAI’s Intelligence and Investigations team is seeing across the threat landscape and how these insights can enable stronger defenses online. <h1> </h1><h1>About the Speakers: </h1><h3>Ben Nimmo, Principal Investigator @ OpenAI</h3>Ben Nimmo is Principal Investigator on OpenAI’s Intelligence and Investigations team. He was a co-founder of the Atlantic Council’s Digital Forensic Research Lab (DFRLab), and later served as Graphika’s first head of investigations, and as global lead of threat intelligence at Meta. He has helped to expose foreign election interference in the United States, United Kingdom and France; documented troll operations in Asia, Africa, Europe and the Americas; and been declared dead by an army of Twitter bots. A graduate of Cambridge University, he speaks French, German, Russian, and Latvian, among other languages. <h3>Jim Sciutto, Anchor &amp; Chief National Security Analyst @ CNN</h3>Jim Sciutto is CNN’s chief national security analyst and anchor of The Brief with Jim Sciutto weekdays at 6pmET on CNN International and CNN Max. Sciutto reports and provides analysis on all aspects of U.S. national security including foreign policy, the military, intelligence community and the State Department.Throughout his career, he has reported from more than 50 countries across the globe including dozens of assignments from inside Iraq, Afghanistan and Iran, as well as multiple assignments in Ukraine and the Middle East.Sciutto is the author of four books, including the New York Times Bestseller, The Return of Great Powers: Russia, China and the Next World War, published in 2024 by Dutton Books, which examines the breakdown of a decades-old international order among the world’s strongest powers. He also wrote The Shadow War, published in 2019, on Russian and Chinese efforts to undermine the U.S., and an inside look at President Trump’s foreign policy, entitled The Madman Theory: Trump Takes on the World, published in 2020, both by Harper Collins. His first book, Against Us: The New Face of America’s Enemies in the Muslim World, analyzes the driving forces behind Islamic radicalization.Among the honors Sciutto’s work has earned are the duPont-Colombia Award, Emmy Awards, the Edward R. Murrow Award, the George Polk Award and the White House Correspondence Association’s Merriman Smith Award for excellence in presidential coverage.Prior to joining CNN, Sciutto served as ABC News’ senior foreign correspondent, based in London, and the Hong Kong-based correspondent for Asia Business News. Sciutto began his career as the moderator and producer of a weekly public affairs talk show on PBS.Sciutto has also served as chief of staff and senior advisor to the U.S. Ambassador to China, Gary Locke. He is a graduate of Yale University, where he studied Chinese history, and was a Fulbright Fellow in Hong Kong. He is a member of the Council on Foreign Relations and an associate fellow at Pierson College at Yale. Sciutto was appointed a Senior Fellow at Yale Jackson School of Global Affairs. Sciutto is married to Gloria Riviera-Sciutto, a journalist and podcaster. They have three children and live in Washington, DC.

Virtual Event: Disrupting Malicious Uses of AI

<h1>About the Event:</h1>OpenAI’s mission is to ensure that artificial general intelligence benefits everyone, which includes stopping those who try to use our technology for harm.&nbsp;In this Forum conversation, Jack Stubbs from OpenAI’s Intelligence and Investigations team will discuss how the team works to detect scam operations. He’ll also highlight how people already use ChatGPT to help spot online scams. <h1>About the Speaker:</h1>Jack Stubbs is a member of OpenAI’s Intelligence &amp; Investigations team, where he leads efforts to detect and disrupt AI-enabled scams and fraud. Previously, he served as Chief Intelligence Officer at Graphika, where he built and led a team of open-source intelligence analysts focused on identifying and mitigating online security threats. Jack began his career as a Reuters correspondent, reporting from Russia and Ukraine before moving to cover cybersecurity.

Virtual Event: Scams in the Age of AI

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