Timnit is currently a research scientist at Google in the ethical AI team. Prior to that Timnit did a postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying any data mining project (see this New York Times article for an example of my work). She received her PhD from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Timnit’s thesis pertains to data mining large scale publicly available images to gain sociological insight, and working on computer vision problems that arise as a result. The Economist, The New York Times and others have covered part of this work. Some of the computer vision areas Timnit is interested in include fine-grained image recognition, scalable annotation of images, and domain adaptation. Prior to joining Fei-Fei’s lab she worked at Apple designing circuits and signal processing algorithms for various Apple products including the first iPad. Timnit also spent an obligatory year as an entrepreneur (as all Stanford undergrads seem to do). Her research was supported by the NSF foundation GRFP fellowship and the Stanford DARE fellowship

Anya Kaspersen is a strategy professional, geopolitics and international security expert and practitioner. Her former positions include a career with the Norwegian Government and the UN (peacekeeping), research and academia, serving in different capacities in the private sector and for various multilateral organizations in the field and at headquarters. She joined the the World Economic Forum in 2014, spearheading the Forum’s work on geopolitics and international security and how to catalyse responses to global, regional and industry challenges. 

She has published widely on geopolitics, international security affairs and global governance issues. Regular commentator and lecturer. Visiting Scholar, Law of Armed Conflict, Harvard University.

Bachelor’s in Strategic Studies, International Law, South East Asia, International Business and Anthropology, University of Oslo/University of Indonesia and London School of Economics; MSc in International Politics, International Security and International Law, University of Copenhagen (China) and London School of Economics and Political Science. 

Gary Marcus, scientist, bestselling author, and entrepreneur, was CEO and Founder of the machine-learning startup Geometric Intelligence, recently acquired by Uber, and is known for his provocative and bold claims in artificial intelligence, neuroscience, and cognitive science. Trained by Steven Pinker, he received his PhD at MIT at age 23. His professional research, published in leading journals such as Science, Nature, Cognition, and Artificial Intelligence, has focused on the foundations of cognition in humans, animals and machines, spanning fields from developmental psychology to neuroscience to genetics to artificial intelligence. A special interest has been on the challenge of endowing machines with common sense.

He is also well-known for his writing for the general public, including frequent essays and op-eds for The New Yorker and The New York Times. His books include The Algebraic Mind, The Birth of the Mind, Kluge: The Haphazard Evolution of the Human Mind, The New York Times Bestseller, Guitar Zero and The Future of the Brain: Essays By The World’s Leading Neuroscientists.

In a 2012 essay for The New Yorker, he was perhaps the first person to publicly criticize deep learning, drawing on arguments he developed in his 2001 technical book The Algebraic Mind. More recently, in a 2018 arXiv article, Deep Learning: A Critical Appraisal, he asked whether deep learning might be “approaching a wall.” The challenges he laid out there were covered everywhere from The
New York Times to Wired to The Financial Times and Wall Street Journal.

In another provocative 2012 essay, Moral Machines, Marcus was the first to adapt “trolley problems” to driverless cars, anticipating much recent research on the ethics of AI. His next book, REBOOT: Getting to AI We Can Trust, to be published by Pantheon in Fall 2019, co-authored with Ernie Davis, calls for a fundamental rethinking of current approaches to artificial intelligence.

Carl Benedikt Frey is Oxford Martin Citi Fellow at the University of Oxford where he directs the programme on the Future of Work at the Oxford Martin School. 

After studying economics, history and management at Lund University, Frey completed his PhD at the Max Planck Institute for Innovation and Competition in 2011. He subsequently joined the Oxford Martin School where he founded the programme on the Future of Work with support from Citigroup. Between 2012 and 2014, he taught at the Department of Economic History at Lund University.

In 2012, Frey became an Economics Associate of Nuffield College and Senior Fellow at the Institute for New Economic Thinking, both at the University of Oxford. He remains a Senior Fellow of the Department of Economic History at Lund University, and a Fellow of the Royal Society for the Encouragement of Arts, Manufactures and Commerce (RSA). In 2019, he joined the World Economic Forum’s Global Future Council on the New Economic Agenda, as well as the Bretton Woods Committee.

In 2013, Frey co-authored “The Future of Employment: How Susceptible Are Jobs to Computerization?”, estimating that 47% of jobs are at risk of automation. With over 5000 academic citations, the study’s methodology has been used by President Barack Obama’s Council of Economic Advisors, the Bank of England, the World Bank, as well as a popular risk-prediction tool by the BBC. In 2019, the paper was debated on the Last Week Tonight Show with John Oliver.

Frey has served as an advisor and consultant to international organisations, think tanks, government and business, including the G20, the OECD, the European Commission, the United Nations, and several Fortune 500 companies. He is also an op-ed contributor to the Financial Times, Scientific American, and the Wall Street Journal, where he has written on the economics of artificial intelligence, the history of technology, and the future of work. 

His academic work has featured in over 100 media outlets, including The Economist, Foreign Affairs, New York Times, Time Magazine, Le Monde, and Frankfurter Allgemeine Zeitung. In addition, he has frequently appeared international broadcast media such as CNN, BBC, PBS News Hour, Al Jazeera, and Sky News.

His most recent book, The Technology Trap, was selected a Financial Times Best Books of the Year in 2019.

Marcin Detyniecki is Head of Research and Group Chief Data Scientist at AXA Group. He leads innovation projects – with a strong focus on advanced analytics – in conjunction with AXA’s operational business entities while providing strong technical insights. Marcin also plays a key role in animating and leveraging the academic community as well as defining the research strategy for AXA.

Additionally, he is a professor at the Polish Academy of Science (IBS PAN) and associate researcher at the computer science laboratory LIP6 of Sorbonne University.

Currently, his research focuses on humanizing Artificial Intelligence to foster technology adoption. On Machine Learning interpretability, his work has been to propose better interpretability approaches and to provide actionable tools such as library and tutorials to bring transparency to Machine Learning models. On developing a fair and regulated Machine Learning, he has investigated the mitigation of the usage of sensitive information in ML models for bias-free predictions. This will lead to developing fairness measures useful in AXA’s operational context.

Marcin Detyniecki studied mathematics, physics and computer science at the University Pierre and Marie Curie (UPMC) in Paris. In 2000 he obtained his PhD in Artificial Intelligence from the same university. Between 2001 and 2014, he was a research scientist of the French National Center for Scientific Research (CNRS). He has been a researcher at the University of California at Berkeley and at Carnegie Mellon University (CMU). He has been visiting researcher at the University of Florence and at British Telecom Research Labs. He was a member of the research and academic council of UPMC University, member of the executive board of laboratory SMART, an elected member of the LIP6 laboratory council, and member of the editorial board of the International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (IJFUKS). Dr. Detyniecki has over 100 publications in journals and conference proceedings.

Dame Wendy Hall, DBE, FRS, FREng is Regius Professor of Computer Science, Associate Vice President (International), and is the Executive Director of the Web Science Institute at the University of Southampton. Dame Wendy was co-Chair of the UK government’s AI Review, which was published in October 2017, and has recently been announced by the UK government as the first Skills Champion for AI in the UK.

With Sir Tim Berners-Lee and Sir Nigel Shadbolt she co-founded the Web Science Research Initiative in 2006 and is the Managing Director of the Web Science Trust, which has a global mission to support the development of research, education and thought leadership in Web Science.

She became a Dame Commander of the British Empire in the 2009 UK New Year’s Honours list, and is a Fellow of the Royal Society.

She has previously been President of the ACM, Senior Vice President of the Royal Academy of Engineering, a member of the UK Prime Minister’s Council for Science and Technology, was a founding member of the European Research Council and Chair of the European Commission’s ISTAG 2010-2012, was a member of the Global Commission on Internet Governance, and until June 2018, was a member of the World Economic Forum’s Global Futures Council on the Digital Economy.

Ramon Rahangmetan began his career in the hospitality service industry at the age of 12 years old, few years later he studied Hospitality Management and Entrepreneurship in Wageningen, where he was the Chairman of the Student Council Board for two years, after this accomplishment he studied Sustainable Urban Development part e-learning at Wageningen University and Delft University of Technology.

Ramon has a broad interest in lifelong-learning, world-history, youth-empowerment and upcoming future technological trends. He uses this approach in his writing, working in a team, moderating a roundtable, speaking engagements, moderating, and speaking with people from various backgrounds. Adaptive learning, networking and cultural understanding are his driving principles.

Virginia Dignum is co-founder and board member of ALLAI. Virginia Dignum is Professor of Ethical and Social Artificial Intelligence at Umea University in Sweden, where she is scientific lead of the WASP-HS program. She was a member of the High Level Expert Group on AI. She is a member of the Global Partnership on AI and expert advisor on AI & Children for UNICEF. Virginia is the scientific lead of the Responsible AI & Corona project.