Shaping our AI Futures

Michael Rovatsos is Professor of Artificial Intelligence at the University of Edinburgh where he is also head of the Bayes Centre, the University’s Data Science and AI innovation hub. He has over 20 years of experience in AI research, working primarily on systems where artificial or human agents collaborate or compete with each other. His work has focused on ethical aspects of AI such as fairness, diversity-awareness, and responsibility. He has published around 100 scientific articles and has been involved in research projects that have received over £18 million of external funding.  

Professor Kate Crawford is a leading international scholar of the social implications of artificial intelligence. She is a Research Professor at USC Annenberg in Los Angeles, a Senior Principal Researcher at MSR in New York, an Honorary Professor at the University of Sydney, and the inaugural Visiting Chair for AI and Justice at the École Normale Supérieure in Paris. Her latest book, Atlas of AI (Yale, 2021) won the Sally Hacker Prize from the Society for the History of Technology, the ASSI&T Best Information Science Book Award, and was named one of the best books in 2021 by New Scientist and the Financial Times. Over her twenty-year research career, she has also produced groundbreaking creative collaborations and visual investigations. Her project Anatomy of an AI System with Vladan Joler is in the permanent collection of the Museum of Modern Art in New York and the V&A in London, and was awarded with the Design of the Year Award in 2019 and included in the Design of the Decades by the Design Museum of London. Her collaboration with the artist Trevor Paglen, Excavating AI, won the Ayrton Prize from the British Society for the History of Science. She has advised policy makers in the United Nations, the White House, and the European Parliament, and she currently leads the Knowing Machines Project, an international research collaboration that investigates the foundations of machine learning.

Pascale Fung is a Chair Professor at the Department of Electronic & Computer Engineering at The Hong Kong University of Science & Technology (HKUST), and a visiting professor at the Central Academy of Fine Arts in Beijing. She is an expert on the Global Future Council, a think tank for the World Economic Forum. She represents HKUST on Partnership on AI to Benefit People and Society. She is on the Board of Governors of the IEEE Signal Processing Society. She is a member of the IEEE Working Group to develop an IEEE standard - Recommended Practice for Organizational Governance of Artificial Intelligence. Her research team has won several best and outstanding awards at ACL, ACL and NeurIPS workshops.

William Isaac is a 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. 

Petra Molnar is a lawyer and anthropologist specialising in technology, migration, and human rights. She is the Associate Director of the Refugee Law Lab at York University and runs the Migration and Technology Monitor, a multilingual archive of work interrogating technological experiments on people crossing borders, funded by the Open Society Foundations. Petra is also the co-author of “Bots at the Gate,” an internationally recognized report on the human rights impacts of automated decision-making in immigration and refugee systems. Petra is a 2022-2023 Fellow at the Berkman Klein Centre for Internet & Society at Harvard University.

Stuart Russell is a Professor of Computer Science at the University of California at Berkeley, holder of the Smith-Zadeh Chair in Engineering, and Director of the Center for Human-Compatible AI and the Kavli Center for Ethics, Science, and the Public. He is a recipient of the IJCAI Computers and Thought Award and Research Excellence Award and held the Chaire Blaise Pascal in Paris. In 2021 he received the OBE and gave the Reith Lectures. His book Artificial Intelligence: A Modern Approach (with Peter Norvig) is the standard text in AI, used in 1500 universities in 135 countries. The current emphasis of his research is on the long-term future of artificial intelligence and its relation to humanity. He has developed a new global seismic monitoring system for the nuclear-test-ban treaty and is currently working to ban lethal autonomous weapons. 

Shannon Vallor is the Baillie Gifford Professor in the Ethics of Data and Artificial Intelligence in the University of Edinburgh’s School of Philosophy. She directs the Centre for Technomoral Futures in the Edinburgh Futures Institute and co-directs the AHRC’s Enabling a Responsible AI Ecosystem programme. She is also a Fellow of the Alan Turing Institute. Professor Vallor’s research explores how emerging technologies reshape human moral and intellectual character, and maps the ethical challenges and opportunities posed by new uses of data and artificial intelligence. Her work includes advising academia, government and industry on the ethical design and use of AI.