Click each category to expand.

• GENERAL

  • Life 3.0 by Max Tegmark* (The founder of the Future of Life Institute provides a speculative but very deep overview of the promise and potential risks of advanced AI.)
  • AI Reading List - DeepMind* (Vishal Maini, a communications lead at DeepMind, provides a curated list of resources on AI, many of which he himself used to transfer careers into the field.)
  • “The Road to Superintelligence” - Wait But Why* (A funny, readable narrative of the arguments promulgated by Nick Bostrom and others in the AI safety community.)
  • Machine Learning for Humans by Vishal Maini* (Maini’s popular layman’s guide to machine learning — how it works, what its history is, and what its implications are.)
  • Q&A: The Future of Artificial Intelligence - Stuart Russell* (A giant in the field and co-author of the most widely used textbook addresses a number of concerns and misconceptions about AI.)
  • Video: Fei-Fei Li & Yuval Noah Harari in Conversation - The Coming AI Upheaval
  • Video: All Watched Over by Machines of Loving Grace (Lecture by David Krakauer)
  • But What Is a Neural Network? - 3Blue1Brown
  • How to Grow a Mind
  • On Intelligence by Jeff Hawkins
  • The Meaning of Life in a World Without Work by Yuval Noah Harari
  • 2019 Artificial Intelligence Survey - Edelman PR

• PRIVACY

  • Podcast: Surveillance Capitalism (Interview w/ Shoshana Zuboff)
  • Video: Michal Kosinski: “The End of Privacy”
  • The Age of Surveillance Capitalism by Shoshana Zuboff
  • Limitless Worker Surveillance
  • Privacy Matters, or Does It? Algorithms, Rationalization, and the Erosion of Concern for Privacy

• SAFETY & ALIGNMENT

  • 3 Principles for Creating Safer AI - Stuart Russell TED Talk* (A digestible treatment of AI safety concerns and the approach being taken to address them at Berkeley’s Center for Human-Compatible AI.)
  • Podcast: 80000 Hours Podcast Interview w/ Paul Christiano
  • Podcast: AI Boom, or Doom? Interview w/ Stuart Russell
  • Superintelligence by Nick Bostrom
  • CHAI Annotated Bibliography
  • Future of Life Benefits and Risks Guide
  • Reframing Superintelligence by Eric Drexler

• EXPLAINABILITY & TRANSPARENCY

  • Explainable AI* (Machine learning systems suffer from a lack of interpretability: we don’t always know why they do what they do. The field of Explainable AI is an attempt to bridge the gap.)
  • Making Machine Learning Models Interpretable
  • Explainable Robotic Systems

• ETHICS & BIAS

  • No Nonsense Version of the "Racial Algorithm Bias"* (A useful, diagrammatic description of how it is that sentencing algorithms come to demonstrate racial bias, and how this is different from common forms of human bias.)
  • Moral Machines by Wendell Wallach
  • Malicious AI Report
  • Accountable Algorithms
  • Inherent Trade-Offs in the Fair Determination of Risk Scores
  • Washington Post on Bias in Sentencing
  • AI Learns Gender and Racial Biases from Language
  • When Discrimination is Baked into Algorithms
  • Why We Should Expect Algorithms to Be Biased
  • Notes on AI Bias by Benedict Evans
  • Homo Deus by Yuval Noah Harari
  • Moral Robots
  • Moral Competence in Robots?
  • Leaning How to Behave: Moral Competence in Social Robots
  • Holding Robots Responsible: The Elements of Machine Morality

• POLICY

  • Reading Guide for the Global Politics of AI by Allan Dafoe* (A comprehensive collection of resources to get up to speed on the various political and economic implications of AI, including the threat of arms race dynamics and the need for international cooperation.)
  • Video: AI Strategy, Policy, and Governance | Allan Dafoe
  • 80000 Hours Podcast Interview w/ Helen Toner
  • FHI AI Governance: A Research Agenda
  • When the Robots Rise

• Twitter List