with Cass Sunstein, Olivier Sibony, Daniel Kahneman
Live Event: Thursday 25 November 2021, 2pm - 5pm
Wherever there is human judgment, there is Noise.
In Noise, Daniel Kahneman, Olivier Sibony, and Cass R. Sunstein show how noise helps produce errors in many fields, including medicine, law, public health, economic forecasting, food safety, forensic science, bail verdicts, child protection, strategy, performance reviews and personnel selection. And although noise can be found wherever people make judgments and decisions, individuals and organizations alike commonly ignore to its role in their judgments and in their actions. They show “noise neglect.” With a few simple remedies, people can reduce both noise and bias, and so make far better decisions.
‘Noise may be the most important book I’ve read in more than a decade. A masterpiece’
Angela Duckworth, author of Grit
‘Get ready for some of the world’s greatest minds to help you rethink how you evaluate people, make decisions, and solve problems’
Adam Grant, author of Think Again and host of the TED podcast WorkLife
‘A masterful achievement and a landmark in the field of psychology’
Philip E. Tetlock, coauthor of Superforecasting
‘An electrifying exploration of the human mind, this book will permanently change the way we think about the scale and scope of bias’
David Lammy, MP for Tottenham and author of Tribes
Olivier Sibony is Professor of Strategy (Education Track) at HEC Paris and Associate Fellow of Oxford University’s Saïd Business School. Previously, he spent 25 years with McKinsey & Company in France and in the U.S., where he was a Senior Partner. He is the author of four books, including the New York Times best-seller Noise: A Flaw in Human Judgment (2021), co-authored with Daniel Kahneman and Cass R. Sunstein, and You’re About to Make a Terrible Mistake (2020). He has also written numerous articles on cognitive biases and strategic decision-making, both in peer-reviewed journals and in practitioner-oriented outlets (Harvard Business Review, Sloan Management Review, etc.) He is a frequent keynote speaker and facilitator of top management and board meetings, and serves as a member of corporate, advisory and investment boards. Olivier Sibony is a graduate of HEC Paris and holds a PhD from Université Paris Sciences et Lettres-Dauphine.
Daniel Kahneman is the Eugene Higgins Professor of Psychology, Princeton University, Professor of Public Affairs, the Princeton School of Public and International Affairs, and the winner of the 2002 Nobel Prize in Economic Sciences and the National Medal of Freedom in 2013. Kahneman is a member of the American Academy of Arts and Sciences and the National Academy of Sciences. He is a fellow of the American Psychological Association, the American Psychological Society, the Society of Experimental Psychologists, and the Econometric Society. He has been the recipient of numerous awards, among them the Distinguished Scientific Contribution Award of the American Psychological Association, the Warren Medal of the Society of Experimental Psychologists, and Hilgard Award for Career Contributions to General Psychology, and the Award for Lifetime Contributions to Psychology from the American Psychological Association. He is the author of New York Times bestseller Thinking, Fast and Slow. He lives in New York City.
Cass Sunstein is the Robert Walmsley University Professor at Harvard, where he is founder and director of the Program on Behavioral Economics and Public Policy. From 2009 to 2012, he was Administrator of the White House Office of Information and Regulatory Affairs. From 2013 to 2014, he served on President Obama’s Review Group on Intelligence and Communications Technologies. Winner of the 2018 Holberg Prize from the government of Norway, Sunstein is author of many articles and books, including two New York Times bestsellers: The World According to Star Wars and Nudge (with Richard H. Thaler). His other books include How Change Happens and Too Much Information. @casssunstein
Ruth Chang is Chair and Professor of Jurisprudence at the University of Oxford. She has a DPhil in Philosophy from Oxford and a JD from Harvard. Her research focuses on questions concerning the structure of normativity, how to understand conflicts between values, what it is to be a rational agent, and the nature of hard choices and what to do in the face of them. She has also given lectures or been a consultant at organizations such as Google, the World Bank, CIA, US Navy, Big Pharma, TellTale Games and many financial institutions. Her TED talk about decision-making has over 8 million views. She has written guest essays for popular publications (The New York Times and The New Statesman) and has been interviewed about her work by newspapers, magazines, and radio and television programs from around the world. She is a member of the American Academy of Arts and Sciences.
Nigel Shadbolt is Principal of Jesus College Oxford and a Professor of Computer Science at the University of Oxford. He has researched and published on topics in artificial intelligence, cognitive science and computational neuroscience. In 2009 he was appointed along with Sir Tim Berners-Lee as Information Advisor to the UK Government. This work led to the release of many thousands of public sector data sets as open data. In 2010 he was appointed by the Coalition Government to the UK Public Sector Transparency Board which oversaw the continued release of Government open data. Nigel continues to advise Government in a number of roles. Professor Shadbolt is Chairman and Co-founder of the Open Data Institute (ODI), based in Shoreditch, London. The ODI specialised in the exploitation of Open Data supporting innovation, training and research in both the UK and internationally.
Rachel Fraser is an Associate Professor of Philosophy at Oxford. She teaches philosophy at Exeter College, and writes about epistemology, language, and politics.
Anand S. Rao is a Partner in PwC’s Advisory practice. He is the Global Artificial Intelligence Lead and innovation lead within PwC’s Emerging Technology practice. With over 35 years of industry and consulting experience, Anand leads a team of practitioners who advise C-level executives and implement advanced analytics and AI-based solutions on a variety of strategic, operational, and ethical use cases. With his PhD and research career in Artificial Intelligence and his subsequent experience in management consulting he brings business domain knowledge, software engineer expertise, and statistical expertise to generate unique insights into the practice of ‘data science’.
Prior to joining management consulting, Anand was the Chief Research Scientist at the Australian Artificial Intelligence Institute. He received his PhD from University of Sydney (with a University Postgraduate Research Award-UPRA) in 1988 and an MBA (with Award of Distinction) from Melbourne Business School in 1997. Anand has also co-edited four books on Intelligent Agents and has published over fifty papers in Computer Science and Artificial Intelligence in major journals, conferences, and workshops.
He has received widespread recognition for his extraordinary contributions in the field of consulting and Artificial Intelligence Research. He has received the Most Influential Paper Award for the Decade in 2007 from the Autonomous Agents & Multi-Agent Systems organization for his contribution on the Belief-Desire-Intention Architecture; MBA Award of Distinction from Melbourne Business School, 1997 and University Postgraduate Research Award (UPRA) from University of Sydney, 1985; Distinguished Alumnus Award from Birla Institute of Technology and Science, Pilani, India; He was recognized as one of Top 50 Data & Analytics professionals in USA and Canada by Corinium; one of Top 50 professionals in InsureTech; and has won a number of awards for his academic and business papers.
Anand is an Adjunct Professor in BITS Pilani’s APPCAIR AI Center. He also serves on the Advisory Board of Oxford University’s Institute for Ethics in AI, World Economic Forum’s Global AI Council, OECD’s Newtork of Experts on AI (ONE), OECD’s AI Compute initiative, Advisory Board of Northwestern’s MBAi program. Responsible AI Institute, Nordic AI Institute, and International Congress for the Governance of AI.
Chaired by John Tasioulas, the inaugural Director for the Institute for Ethics and AI, and Professor of Ethics and Legal Philosophy, Faculty of Philosophy, University of Oxford. He was previously the inaugural Chair of Politics, Philosophy & Law and Director of the Yeoh Tiong Lay Centre for Politics, Philosophy & Law at The Dickson Poon School of Law, Kings College London. Professor Tasioulas has degrees in Law and Philosophy from the University of Melbourne, and a D.Phil in Philosophy from the University of Oxford, where he studied as a Rhodes Scholar. He was previously a Lecturer in Jurisprudence at the University of Glasgow, Reader in Moral and Legal Philosophy at the University of Oxford, where he taught from 1998-2010, and Quain Professor of Jurisprudence at University College London. He has also acted as a consultant on human rights for the World Bank and is a member of the International Advisory Board of the European Parliament's Panel for the Future of Science and Technology (STOA). He has published widely in moral, legal, and political philosophy.
The Institute for Ethics in AI will bring together world-leading philosophers and other experts in the humanities with the technical developers and users of AI in academia, business and government. The ethics and governance of AI is an exceptionally vibrant area of research at Oxford and the Institute is an opportunity to take a bold leap forward from this platform.
Every day brings more examples of the ethical challenges posed by AI; from face recognition to voter profiling, brain machine interfaces to weaponised drones, and the ongoing discourse about how AI will impact employment on a global scale. This is urgent and important work that we intend to promote internationally as well as embedding in our own research and teaching here at Oxford.
Find out more about the full Institute for Ethics in AI programme here.