How does datafication, the reduction of the complexity of the world to data values, threaten the Rule of Law? Why should we focus on the regulation of Artificial Intelligence (AI) rather than on ethics? Could human agency be superseded by algorithmic decision-making? And: has the Age of Algorithmic Warfare arrived? In a thought-provoking Sixth Annual T.M.C. Asser Lecture, Prof. Andrew Murray, a leading thinker on information technology and regulation, discusses the challenges that Artificial Intelligence and Big Data pose for human agency and the Rule of Law.
In this full interview Joanna Bryson discusses the nuances of machine intelligence. Watch the interview at Joanna Bryson discusses how she became interested in the ways different species use intelligence, how the typical tropes in science fiction misunderstand AI and the problem of anthropomorphism. In this interview, Bryson discusses the most pressing ethical challenges concerning the future of artificial intelligence and whether or not we can stabilize democracy when we have so much information about each other. She also touches on how the problems that arise with AI aren’t always to do with the technology itself but with the social conditions that often produce it. #JoannaBryson #ArtificialIntelligence #HertieSchool Joanna Bryson is professor at Hertie School in Berlin. She works on Artificial Intelligence, ethics and collaborative cognition. She advises governments, corporations, and other agencies globally, particularly on AI policy. To discover more talks, debates, interviews and academies with the world’s leading speakers visit The Institute of Art and Ideas features videos and articles from cutting edge thinkers discussing the ideas that are shaping the world, from metaphysics to string theory, technology to democracy, aesthetics to genetics. Subscribe today! For debates and talks: For articles: For courses:
Luca Longo is currently assistant professor at the Dublin Institute of Technology, where he is a member of the Applied Intelligence Research Centre. He is also associated to the ADAPT Center (Global Center of Excellence for Digital Content and Media Innovation) and the Innovative Human Systems at Trinity College Dublin. His core research interest is in Artificial Intelligence, particularly in Mental Workload modelling using deductive inference techniques (Defeasible Reasoning) and inductive modelling techniques (Machine Learning). Luca owns a BSc, a MSc in Computer Science, a PgDip in statistics, a MSc in Health Informatics, a PhD in Artificial Intelligence a PgDip in Learning/Teaching. He is author of 30+ academic articles appeared in conference proceedings, book chapters and journals in various theoretical and applied Computer Science fields. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at
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What does it mean to be human? J. Wentzel van Huysteen, in his Gifford lectures, posed the question of whether or not we are “alone in the world?” With advances in artificial intelligence and increasing knowledge in the cognitive sciences, the lines that have traditionally defined human uniqueness are beginning to blur. What constitutes our humanity—that intrinsic notion that separates us from other animals and machines, the essence that demonstrates we are more than the sum of our biological existence—is becoming less and less clear. In a sense, we may be witnessing the collapse of Cartesian dualism, the idea of the human being having a spirit or soul that is separate from their physical body, or what philosopher Gibert Ryle has referred to the dogma of the “the ghost in the machine.” Is there more, however? Can religious notions of the soul, mind, and body navigate these new advances in science and technology and even provide meaning and value to them, or will religious notions become obsolete? Are there limits to what AI can achieve, and limits to how science can speak to our humanity? David Bentley Hart has said that “rational thought—understanding, intention, will, consciousness—is not a species of computation.” Is there a line that, no matter the advances in technology or the passing of evolutionary time, no computer or animal will ever cross? Is it our ability to transcend our biology, to somehow rise above the fetters of our bodily existence and instincts that truly makes us human? [More]
For full forum click here: INSTAGRAM: FACEBOOK: SUBSCRIBE: Find this and many other talks at Over the past two decades, The Veritas Forum has been hosting vibrant discussions on life’s hardest questions and engaging the world’s leading colleges and universities with Christian perspectives and the relevance of Jesus. Learn more at, with upcoming events and over 600 pieces of media on topics including science, philosophy, music, business, medicine, and more!
by Steve Omohundro, Ph.D., president of Self-Aware Systems ( a Silicon Valley think tank aimed at bringing human values to emerging technologies. This talk examines the origins of human morality and its future development to cope with advances in artificial intelligence. It begins with a discussion of the dangers of philosophies which put ideas ahead of people. It presents Kohlberg’s 6 stages of human moral development, evidence for recent advances in human morality, the theory underlying co-opetition, recent advances in understanding the sexual and social origins of altruism, and the 5 human moral emotions and their relationship to political systems. It then considers the likely behavior of advanced AI systems, showing that they will want to understand and improve themselves, will have drives toward self-preservation and resource acquisition, and will be vigilant in avoiding corruption and addiction. We end with a description of the 3 primary challenges that humanity faces in guiding future technology toward human-positive ends. World Transhumanist Association camera, editing: Jeriaska
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Kriti Sharma explores how the lack of diversity in tech is creeping into our artificial intelligence, offering three ways we can start making more ethical algorithms. This talk was filmed at TEDxWarwick. Watch the full talk here: Start each day with short, eye-opening ideas from some of the world’s greatest TEDx speakers. Hosted by Atossa Leoni, TEDx SHORTS will give you the chance to immerse yourself in surprising knowledge, fresh perspectives, and moving stories from some of our most compelling talks. Less than 10 minutes a day, everyday. All TEDx events are organized independently by volunteers in the spirit of TED’s mission of ideas worth spreading. To learn more about the TEDx SHORTS podcast, the TEDx program, or give feedback on this episode, please visit
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Dr. Sukwoong Choi is a postdoctoral scholar at the MIT Sloan School’s Initiative on the Digital Economy and MIT CSAIL. His research interests are innovation and entrepreneurship. He is also interested in the economics of AI, especially how AI affects human decision-making, human knowledge, corporate R&D, and labor markets. Before joining the MIT Sloan, he was a postdoctoral scholar at the University of Southern California (Technology Innovation and Entrepreneurship) and the University of Kentucky (Gatton College of Business and Economics, Management). Dr. Choi received his PhD from KAIST College of Business. During his PhD, he was a visiting PhD student at the University of California, Berkeley (Haas School of Business, Management of Organizations (MORS)) and Northwestern University (Kellogg School of Management, MORS and NICO (Northwestern Institute On Complex Systems)). #ai and human #decisionmaking #aiforgood
The Ancient Secrets of Computer Vision An introductory course on computer vision originally held Spring 2018 at the University of Washington.
Enlai explores how natural intelligence inspires artificial intelligence. He meets A.I. trained to think like artists, musicians, doctors & scientists, and he learns how A.I. can outsmart us. Filmed and broadcasted in 2019. WATCH MORE Becoming Human Part 1: Part 3: Part 4: ======== About the show: Comedic actor Chua Enlai embarks on a zany exploration of artificial intelligence. He examines how A.I. is becoming human as it is shaped by our love, intelligence, ethics and power. ============== #CNAInsider #BecomingHumanCNA #AI #ArtificialIntelligence #Technology For more, SUBSCRIBE to CNA INSIDER Follow CNA INSIDER on: Instagram: Facebook: Website:
Enlai explores if we can truly love artificial intelligence, and teach it to love us back. He meets empassioned love robots and chatbots trained on memories of people, living and dead. Filmed and broadcasted in 2019. WATCH MORE Becoming Human Part 2: Part 3: Part 4: ======== About the show: Comedic actor Chua Enlai embarks on a zany exploration of artificial intelligence. He examines how A.I. is becoming human as it is shaped by our love, intelligence, ethics and power. ============== #CNAInsider #BecomingHumanCNA #AI #ArtificialIntelligence #Technology For more, SUBSCRIBE to CNA INSIDER Follow CNA INSIDER on: Instagram: Facebook: Website:
Story Of a LifeTime in a It Architects Short but eventful life Todays Short on Morals and Ethics the most important and impactful for end result.
Title: Reverse Engineering Human Morality Abstract: Human morality enables successful and repeated collaboration. We collaborate with others to accomplish together what none of us can do on our own, share the benefits fairly, and trust others to do the same. Even young children play together guided by normative principles that are unparalleled in other animal species. I seek to understand this everyday morality in engineering terms. How do humans flexibly learn and use moral knowledge? How can we apply these principles to build moral and fair machines? I present an account of human moral learning and judgment based on inverse planning and Bayesian inference. Our computational framework explains quantitatively how people learn abstract moral theories from sparse examples, share resources fairly, and judge others actions as right or wrong. Bio: Dr. Max Kleiman-Weiner is a post-doctoral fellow at the Data Science Institute and Center for Research on Computation and Society (CRCS) within the computer science and psychology departments at Harvard. He did his PhD in Computational Cognitive Science at MIT advised by Josh Tenenbaum where he was a NSF and Hertz Foundation Fellow. His thesis won the 2019 Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science. He also won best paper at RLDM 2017 for models of human cooperation and the William James Award at SPP for computational work on moral learning. Max serves as Chief Scientist of Diffeo a startup building collaborative machine intelligence. Previously, he was a Fulbright Fellow in Beijing, earned an MSc in [More]
Talk by Suggestic’s CEO Victor Chapela on the Hyper Wellbeing 2016 conference. Augmenting Human Decision Making – Machine Intelligence Could Help Eradicate Most Chronic Diseases
But can a autonomous car go faster than a human driver on a race track?
Yale University’s Wu Tsai Institute and the Schmidt Program on Artificial Intelligence, Emerging Technologies, and National Power co-host the talk, “The Alignment Problem: Machine Learning and Human Values,” by Brian Christian, an award-winning author and Science Communicator in Residence at the Simons Institute for the Theory of Computing at University of California – Berkeley. Christian is recognized as a leading authority on artificial intelligence and the ethical challenges associated with emerging technologies. His latest book, “The Alignment Problem: Machine Learning and Human Values,” is a blend of history and on-the-ground reporting, tracing the explosive growth of machine learning and the wide range of resulting risks, opportunities, and unintended consequences. The book is a Los Angeles Times Finalist for Best Science & Technology Book of the Year, and Microsoft CEO Satya Nadella has named it one of the five books that inspired him in 2021. Christian is the author of the acclaimed bestsellers “The Most Human Human” and “Algorithms to Live By.” His writing has appeared in The New Yorker, The Atlantic, Wired, and The Wall Street Journal, as well as peer-reviewed journals. He holds degrees in computer science, philosophy, and poetry from Brown University and the University of Washington.  The talk is moderated by John Lafferty, John C. Malone Professor of Statistics & Data Science, and Director of the Center for Neurocomputation and Machine Intelligence at Yale.
Matt Taylor speaks at DLRL Summer School with his lecture on Human in the Loop. CIFAR’s Deep Learning & Reinforcement Learning (DLRL) Summer School brings together graduate students, post-docs and professionals to cover the foundational research, new developments, and real-world applications of deep learning and reinforcement learning. Participants learn directly from world-renowned researchers and lecturers. DLRL Summer School 2019 happened July 24 – August 2 in Edmonton, Alberta, Canada. The event is a part of both the CIFAR Learning in Machines & Brains program and CIFAR Pan-Canadian AI Strategy’s National Program of Activities, and is delivered in partnership with Canada’s three national AI Institutes, Amii, Mila and the Vector Institute. Learn more about CIFAR here: Learn more about the DLRL Summer School here: Learn more about Amii here:
Professor Hima Lakkaraju of Harvard University joined us on April 11, 2022, for “Does Model Understanding Improve Human Decision Making?” Abstract As machine learning (ML) models are increasingly being employed to make consequential decisions in high-stakes settings such as finance, healthcare, and hiring, it becomes important to ensure that these models are actually beneficial to human decision makers. To this end, recent research in ML has focused on developing techniques which aim to explain complex models to domain experts/decision makers so that they can determine if, when, and how much to rely on the predictions of these models. In this talk, I will give a brief overview of the state-of-the-art in explaining ML models, and then present some of our recent research on understanding the impact of explaining the rationale behind model predictions to decision makers. More specifically, I will discuss two user studies that we carried out with domain experts in healthcare (e.g., doctors) and hiring (e.g., recruiters) settings where we analyzed the impact of explaining the rationale behind model predictions on the accuracy and the discriminatory biases in the decision making process.
George McDonald Church (born August 28, 1954) is an American geneticist, molecular engineer, and chemist. As of 2015, he is Robert Winthrop Professor of Genetics at Harvard Medical School and Professor of Health Sciences and Technology at Harvard and MIT, and was a founding member of the Wyss Institute for Biologically Inspired Engineering at Harvard.