I recently read Rebooting AI, as book discussing how the recent focus on Deep Learning as the path towards Artificial General Intelligence is flawed. It was a good read, and made many interesting points. It left me wanting to learn more about other areas of AI, and luckily there was a 'Suggested Reading' list at the end.

I decided to collate all the books, and articles in one place so I can refer to it easily afterwards. I've already ordered some of these books, and look forward to developing a more rounded knowledge base on these topics.

Unless otherwise stated, the links are for books on Amazon.co.uk

• AI in General

  • Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig (2016)
  • Future of Robotics and Artificial Intelligence by Rodney Brooks (2017) - Online Article

• Skepticism About AI

  • Computer Power and Human Reason, by Joseph Weizenbaum (1977)
  • What Computers Can’t Do, by Hubert Dreyfus (1978)
  • The AI Delusion, by Gary Smith (2018)
  • Artifictional Intelligence: Against Humanity’s Surrender to Computers, by Harry Collins (2018)
  • Artificial Unintelligence: How Computers Misunderstand the World, by Meredith Broussard (2018)

• What's at Stake

  • Weapons of Math Destruction, by Cathy O’Neil (2016)
  • Automating Inequality: How High-Tech Tools Profile, Police, and Punish the Poor, by Virginia Eubanks (2018)

• Machine Learning and Deep Learning

  • The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World, by Pedro Domingos (2015)
  • The Deep Learning Revolution, by Terrence Sejnowski (2018)
  • Machine Learning: A Probabilistic Perspective, by Kevin Murphy (2012)
  • Deep Learning by Ian Goodfellow, Yoshua Bengio, and Aaron Courville (2016) - Online Book

• AI Systems That Read

  • Speech and Language Processing, by Daniel Jurafsky and James H. Martin (2019) - Online PDF
  • Foundations of Statistical Natural Language Processing, by Christopher Manning and Hinrich Schütze (2000) - Online PDF
  • Introduction to Information Retrieval, by Christopher Manning, Prabhakar Raghavan, and Hinrich Schütze (2009) - Online PDF

• Robotics

  • Toward Robotic Manipulation, by Matthew Mason (2018) - Online Article
  • Modern Robotics: Mechanics, Planning, and Control, by Kevin Lynch and Frank Park (2017) - Online PDF
  • Planning Algorithms, by Steven LaValle (2006) - Online Book

• Mind

  • The Language Instinct, by Steven Pinker (1995)
  • Words and Rules: The Ingredients of Language, by Steven Pinker (2015)
  • How the Mind Works and The Stuff of Thought, by Steven Pinker (2008)
  • Kluge, by Gary Marcus (2009)
  • Thinking, Fast and Slow, by Daniel Kahneman (2012)
  • Brainstorms, by Daniel Dennett (1980)
  • Human Knowledge: Its Scope and Limits, by Bertrand Russell (2009)
  • The Algebraic Mind, by Gary Marcus (2003)

• Commonsense Reasoning

  • Commonsense Reasoning and Commonsense Knowledge in Artificial Intelligence, by Gary Marcus and Ernest Davis (2015) - Online Paper
  • Common Sense, the Turing Test, and the Quest for Real AI, by Hector Levesque (2017)
  • Representations of Commonsense Knowledge, by Ernest Davis (2014)
  • The Handbook of Knowledge Representation, by Frank van Harmelen, Vladimir Lifschitz, and Bruce Porter (2007)
  • The Book of Why: The New Science of Cause and Effect, by Judea Pearl and Dana Mackenzie (2018)

• Trust

  • Moral Machines: Teaching Robots Right from Wrong, by Wendell Wallach and Colin Allen (2010)
  • Robot Ethics: The Ethical and Social Implications of Robotics, by Patrick Lin, Keith Abney, and George Bekey (2014)
  • SuperIntelligence: Paths, Dangers, Strategies, by Nick Bostrom (2014)

• Future of AI

  • Life 3.0: Being Human in the Age of Artificial Intelligence, by Max Tegmark (2017)
  • Abundance: The Future Is Better Than You Think, by Peter Diamandis and Steven Kotler (2012)
  • Our Final Invention: Artifical Intelligence and the End of the Human Era, by James Barrat (2015)