Anita L. Allen is the Henry R. Silverman Professor of Law and Professor of Philosophy at University of Pennsylvania. She was Penn’s Vice Provost for Faculty from 2013-2020 and chaired the Provost’s Arts Advisory Council. She is an elected member of the National Academy of Medicine, the American Law Institute, the American Philosophical Society and a fellow of the American Academy of Arts and Sciences. In 2018-19 she served as President of the Eastern Division of the American Philosophical Association. From 2010 to 2017, Allen served on President Obama’s Presidential Commission for the Study of Bioethical Issues.

 Allen has published over 130 articles and chapters, and her books include Unpopular Privacy: What Must We Hide (Oxford, 2011); Privacy Law and Society (Thomson/West, 2017); The New Ethics: A Guided Tour of the 21st Century Moral Landscape (Miramax/Hyperion, 2004); Why Privacy Isn’t Everything: Feminist Reflections on Personal Accountability (Rowman & Littlefield, 2003), and Uneasy Access: Privacy of Women in a Free Society (Rowman & Littlefield, 1988).

Mary-Anne Williams is the Michael J Crouch Chair in Innovation in the UNSW Business School where she leads inclusive and responsible business. She also leads the new UNSW Business AI Lab. It focuses on how AI can ignite, launch and accelerate innovation and drive strategy. One of her ongoing research projects explores different stakeholders’ barriers to adopting digital diagnosis. She is working collaboratively with Roche and researchers from the School of Medicine to develop a robust and resilient Human-Centered AI strategy that drives innovation and assures human alignment at the same time. Her research focuses on fundamental aspects of decision-making in dynamic, changing and uncertain environments and establishing and maintaining alignment in human-AI collaboration. Recent papers on how Australia can lead in human-centred AI check out this easy-read paper: The AI Race: Will Australia Lead or Lose. It develops a new framework for understanding the risks and challenges of AI. A related, more recent paper on Australia’s Unfair Advantage in the New Global Wave of AI Innovation is also available.

Sylvie Delacroix is the Inaugural Jeff Price Chair in Digital Law and the director of the Centre for data Futures (King’s College London). She is also a visiting professor at the University of Tohoku (Japan). Her research focuses on the role played by habit within ethical agency, the role of humility markers as conversation enablers and the potential inherent in LLMs’ participatory interfaces. She also considers bottom-up data empowerment structures and the social sustainability of the data ecosystem that makes generative AI possible. The latter work led to the first data trusts pilots worldwide being launched in 2022 in the context of the Data Trusts initiative www.datatrusts.uk. Her latest book Habitual Ethics?  was published by Bloomsbury in 2022 (open-access).

Dr. Nataliya Kosmyna is a research scientist at MIT Media Lab’s Fluid Interfaces group. She has over 15 years of experience in developing and designing end-to-end brain-computer interfaces (BCIs). Coming from a background in artificial intelligence, neuroscience and human computer interaction, she is passionate about the idea of creating a partnership between AI and human intelligence, a fusion of the machine with the human brain.

Nataliya also serves as a program committee member in conferences and journals such as Nature Scientific Reports, CHI, ACM IDC,Ubicomp, INTERACT, TOCHI, Frontiers in Human Neuroscience, Plos ONE, IEEE EMBC and ACM AutomotiveUI.  Nataliya won multiple awards for her work, among which is L’Oréal-UNESCO Women in Science award she received in 2016. Nataliya was also named as one of 10 Top French Talent 2017 from MIT Innovators Under 35.

Florence G’sell is a visiting professor of private law at the Stanford University – Cyber Policy Center, where she leads the Program on Governance of Emerging Technologies. She also holds the Digital, Governance, and Sovereignty Chair at Sciences Po (France) and is a professor of private law at the University of Lorraine. She began her academic career focusing on tort law, judicial systems, and comparative law. In recent years, her work has concentrated on digital law, particularly in the regulation of online platforms, the legal challenges posed by emerging technologies such as blockchain and the metaverse, and the concept of digital sovereignty. Her latest publications include Regulating under Uncertainty. Governance Options for Generative AI (Stanford Cyber Policy Center, 2024) and Digital Authoritarianism: From State Control to Algorithmic Despotism (in Oxford Handbook of Digital Constitutionalism, forthcoming) . Professor G’sell graduated from Sciences Po, is admitted to the Paris Bar, and holds a PhD in private law from the University of Paris 1 Panthéon-Sorbonne. She also holds the “agrégation” in private law and criminal sciences.

Brittan Heller is a lecturer at Stanford University, where she runs the Program in Law, Science, and Technology at Stanford Law School. Her work focuses on privacy, security, and governance in emerging technologies like AI and 3-D computing. She has introduced the concept of “biometric psychography” to describe privacy risks in advanced computing and served on the steering committee for the World Economic Forum’s Metaverse Governance initiative. Previously, she worked at the International Criminal Court and the U.S. Department of Justice before leading the Global AI Practice Group at Foley Hoag. She was an inaugural AI and Tech Fellow at Harvard Kennedy School’s Carr Center for Human Rights and received a 2024 Bellagio Residency for her work on the convergence of emerging technologies.

Aleksandra Przegalinska is an Associate Professor and Vice-President of Kozminski University, responsible for Innovation and AI policy as well as Senior Research Associate at the Harvard Labor and Worklife Program. Aleksandra is the head of the Human-Machine Interaction Research Center at Kozminski University, and the Leader of the AI in Management Program. Until recently, she conducted post-doctoral research at the Center for Collective Intelligence at the Massachusetts Institute of Technology in Boston. She graduated from The New School for Social Research in New York. She is the co-author of Collaborative Society (The MIT Press), and Strategizing AI in Business and Education (Cambridge University Press) published together with Dariusz Jemielniak and, more recently, Converging Minds – The Creative Potential of Collaborative AI (Routledge) published with Tamilla Triantoro.

Dr. Neema Mduma is a computer scientist and senior lecturer at the Nelson Mandela African Institution of Science and Technology (NM-AIST). Passionate about education and technology, she founded the BakiShule initiative which promotes STEM education to girls in secondary schools in Tanzania. Dr. Mduma is also a Principal Investigator on several projects that apply Artificial Intelligence (AI) and Machine Learning (ML) to solve challenges within agriculture, health, and education sectors. She currently serves as a reviewer for scientific journals, workshops and conferences including the International Conference of Machine Learning (ICML), Association for Computing Machinery (ACM), Black in Artificial Intelligence (BAI) and Women in Machine Learning (WiML). Most recently, Dr. Mduma was appointed by the Minister of State, President’s Office Planning and Investment, as a member of the technical team that will draft the Tanzania Development Vision 2050.

Cristina Godoy Bernardo de Oliveira is a professor of Law and Principal Investigator at the Center for Artificial Intelligence, University of São Paulo. She is a member of the Executive Committee of the Center for AI and Machine Learning at USP (CIAAM). Task Force Member on Ethics and AI at the Center for Sustainable Development at Columbia University. Fellow Researcher at IRCAI UNESCO. Post-doctoral researcher at Université Paris I Panthéon-Sorbonne. Academic Visitor at the University of Oxford. PhD and LL.B at the University of São Paulo.