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Los Angeles, United States, @dizzyd718

Five Books On International AI Policy

A short list of books about international AI Policy

I decided it would be interesting to make a short list of books about international AI Polciy, knowing in the process that I will likely miss a great deal of relevant books. However, I thought it would be interesting to try. As such here is a very short list, not in any kind of particular order of relevance. It is simply a list of books on the top of my mind.

There is one book that stands out in popular culture is AI superpowers. Although this book heavily focuses on the bipolarity of two large states it is a seminal work that must be read as it shapes much of popular discussions on the topic of AI policy.

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Then there is an EPIC AI Policy Sourcebook that is the first reference book on AI policy. Not a book in terms of popular culture, but it does well to collect different sources that can be important to read in full for a better understanding of the international landscape.

  • OECD Principles on AI (2019)
  • European Commission High Level Expert Group on AI, Ethics Guidelines for Trustworthy AI (2019)
  • White House, Executive Order 13859, Maintaining American Leadership in AI (2019)
  • Canada-France Statement on Artificial Intelligence (2018)
  • Public Voice, Universal Guidelines for AI (2018)
  • Isaac Asimov, Three Laws of Robotics (1942)
  • The Beijing Artificial Intelligence Principles (2019)
  • Defense Innovation Board AI Principles (2019)
  • Policy surveys
  • National AI strategies
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There is also a long list AI policy resources.

The book

Superintelligence: Paths, Dangers, Strategies is a 2014 book by the Swedish philosopher Nick Bostrom from the University of Oxford. It argues that if machine brains surpass human brains in general intelligence, then this new superintelligence could replace humans as the dominant lifeform on Earth.

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Later published in 2017 this book also has a focus on existential risk, and what AI will mean to humanity. Max Tegmark, the MIT professor work has helped mainstream research on how to keep AI beneficial. In this book he: “ …separates myths from reality, utopias from dystopias, to explore the next phase of our existence.”

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What affect does large-scale AI policies have for people in schools, getting mortgage, insurance and so on. Cathy O’Neil works hard to shatter the illusion of greater fairness: everyone is judged according to the same rules, and bias is eliminated. She reveals the opposite is oftentimes true. The models can reinforce discrimination. These “weapons of math destruction” score teachers and students, sort CVs, grant or deny loans, evaluate workers, target voters, and monitor our health. She argues that modellers to take more responsibility for their algorithms and on policy makers to regulate their use. Yet, users have to become more savvy in navigating these systems too.

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I hope you enjoyed this short list. It is by no means extensive, however it is a series of book that can give a mild introduction to the subject. I have started reading some of these, and I hope to complete all of them. Read most of the policies in the EPIC Sourcebook and going through the book by Kai-Fu-Lee.

Truly hope you have any other books to recommend, I would be very happy to hear your opinion.

This is #500daysofAI and you are reading article 362. I am writing one new article about or related to artificial intelligence every day for 500 days. My focus for day 300–400 is about AI, hardware and the climate crisis.

Written by

AI Policy and Ethics at www.nora.ai. Student at University of Copenhagen MSc in Social Data Science. All views are my own. twitter.com/AlexMoltzau

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