Speaker bios, in order of appearance:

Keynote

Joelle Pineau is a Professor and William Dawson Scholar at the School of Computer Science at McGill University, where she co-directs the Reasoning and Learning Lab. She is a core academic member of Mila and a Canada CIFAR AI chairholder. She is also a VP, AI research at Meta (previously Facebook), where she leads the Fundamental AI Research (FAIR) team. She holds a BASc in Systems Design Engineering from the University of Waterloo, and an MSc and PhD in Robotics from Carnegie Mellon University. Dr. Pineau's research focuses on developing new models and algorithms for planning and learning in complex partially-observable domains. She also works on applying these algorithms to complex problems in robotics, health care, games and conversational agents. She serves on the editorial board of the Journal of Machine Learning Research and is Past-President of the International Machine Learning Society. She is a recipient of NSERC's E.W.R. Steacie Memorial Fellowship (2018), a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI), a Senior Fellow of the Canadian Institute for Advanced Research (CIFAR), a member of the College of New Scholars, Artists and Scientists by the Royal Society of Canada, and a 2019 recipient of the Governor General's Innovation Awards.

Panel 1: Principles

Mitchell Baker co-founded the Mozilla Project to support the open, innovative web and ensure it continues offering opportunities for everyone. As CEO of Mozilla Corporation, Mitchell is focused on accelerating the growth levers for the core Firefox browser product and platform, while investing in innovative solutions to mitigate the biggest challenges facing the internet. As Chairwoman of Mozilla for the last two decades, Mitchell Baker has been responsible for organizing and motivating a massive, worldwide, collective of employees and volunteers who are building the internet as a global public resource, open and accessible to all.

William Isaac is a Senior Staff Research Scientist at DeepMind, Advisory Board Member of the Human Rights Data Analysis Group, and Research Affiliate at Oxford University Centre for the Governance of AI. His research focuses on the societal impact and governance of emerging technologies. Prior to DeepMind, William served as an Open Society Foundations Fellow. His research has been featured in publications such as Science, New York Times, and the MIT Technology Review.

Rumman Chowdhury is the CEO and co-founder of Humane Intelligence, a nonprofit that specializes in red teaming AI systems. She is also a Responsible AI Fellow at the Berkman Klein Center for Internet & Society at Harvard University, and a Research Affiliate at the Minderoo Center for Democracy and Technology at Cambridge University and a visiting researcher at the NYU Tandon School of Engineering. Previously, Dr. Chowdhury was the Director of META (ML Ethics, Transparency, and Accountability) team at Twitter, leading a team of applied researchers and engineers to identify and mitigate algorithmic harms on the platform. Prior to Twitter, she was CEO and founder of Parity, an enterprise algorithmic audit platform company. She formerly served as Global Lead for Responsible AI at Accenture Applied Intelligence.  In her work as Accenture’s Responsible AI lead, she led the design of the Fairness Tool, a first-in-industry algorithmic tool to identify and mitigate bias in AI systems. 

Peter Henderson is an incoming Assistant Professor at Princeton University with appointments in the Department of Computer Science, School of Public and International Affairs, and Center for Information Technology Policy. He received his JD and will receive his PhD in Computer Science from Stanford University. His interdisciplinary research focuses on aligning AI, law, and policy for responsible real-world deployments.

Panel 2: Practices

Dr. Yacine Jernite leads the ML and Society team at Hugging Face, where they work on ML systems governance. Their work to date has focused on NLP and multimodal models and data curation, documentation, and governance. Their recent projects have included co-organizing the BigScience workshop on large language models as data area chair and looking at the intersection of ethical, technical, and regulatory aspects of ML.

Stella Biderman is a mathematician and artificial intelligence researcher at Booz Allen Hamilton and EleutherAI who specializes in natural language processing, ML interpretability, and AI ethics. Over the past several years her work has focused on making cutting edge AI technologies more widely accessible through supporting the release of several of the world's most powerful generative models such as GPT-NeoX, BLOOM, VQGAN-CLIP, and OpenFold. Recently her focus has shifted towards building better understandings of how and why these models work, and what decisions engineers can make to instill desirable behaviors and limit undesirable behaviors in these types of models. She is especially excited about mechanistic interpretability research and work investigating learning dynamics of large language models.

Melanie Kambadur is currently a senior engineering manager at Meta in the Generative AI Organization. Her team works on Large Language Model (LLMs), including extremely large scale model training and data processing, responsible AI research, efficient training and inference, and open source models. Some of the team’s notable models include Llama, OPT, and BlenderBot.  She has previous experience as a startup founder, a software engineer, and an academic researcher. She completed her PhD in Computer Science at Columbia University.

Zico Kolter is an Associate Professor in the Computer Science Department at Carnegie Mellon University, and also serves as chief scientist of AI research for the Bosch Center for Artificial Intelligence. His work spans the intersection of machine learning and optimization, with a large focus on developing more robust and rigorous methods in deep learning. In addition, he has worked in a number of application areas, highlighted by work on sustainability and smart energy systems. He is a recipient of the DARPA Young Faculty Award, a Sloan Fellowship, and best paper awards at NeurIPS, ICML (honorable mention), IJCAI, KDD, and PESGM.

Panel 3: Policy

Stefano Maffulli is the executive director of the Open Source Initiative, an experienced leader of open source organizations, from non-profits advocacy groups and trade organizations to business ventures and community projects across countries. He has a proven track record in community building and is an active contributor to open source projects. 

Peter Cihon is Senior Policy Manager at GitHub. He works on public policy to support software developer communities around the world, focusing on AI and cybersecurity. He has published research on the governance and labor implications of AI and serves on the OECD Network of Experts on AI. Prior to GitHub, he was a researcher at the Centre for the Governance of AI, University of Oxford and consulted for the OECD AI Policy Observatory. He began his career researching internet access development in South Asia.

Cori Zarek is the deputy administrator of the U.S. Digital Service. Prior to returning to federal service, she was at Georgetown University where she was the executive director of the Beeck Center for Social Impact + Innovation. She was also a Mozilla Foundation fellow in technology policy where she focused her research on open source software in governments. Cori previously worked for the U.S. National Archives and the White House Office of Science and Technology Policy where she was Deputy U.S. Chief Technology Officer. In 2020, Cori co-founded U.S. Digital Response which matches pro-bono technologists to work with government and organizations responding to urgent challenges and in 2021, she co-founded Technologists for the Public Good, the first professional association for public interest technologists.

Daniel E. Ho is the William Benjamin Scott and Luna M. Scott Professor of Law, Professor of Political Science, Professor of Computer Science (by courtesy), and Senior Fellow at the Stanford Institute for Economic Policy Research at Stanford University. He was Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence, is a Faculty Fellow at the Center for Advanced Study in the Behavioral Sciences, and is Director of the Regulation, Evaluation, and Governance Lab (RegLab). Ho serves on the National Artificial Intelligence Advisory Commission (NAIAC), advising the White House on artificial intelligence, as Senior Advisor on Responsible AI at the U.S. Department of Labor, and as a Public Member of the Administrative Conference of the United States (ACUS). He received his J.D. from Yale Law School and Ph.D. from Harvard University and clerked for Judge Stephen F. Williams on the U.S. Court of Appeals, District of Columbia Circuit.