Artificial Intelligence and Global Security Reading List

The CNAS Artificial Intelligence and Global Security Initiative explores how the artificial intelligence (AI) revolution could lead to changes in global power, the character of conflict, and crisis stability. The Initiative will also examine the security dimensions of AI safety and prospects for international cooperation. 

In order to keep up-to-date with the latest and most important developments in AI, CNAS has curated the following reading list. This list will be continually updated as new developments arise.

CNAS Videos

• Artificial Intelligence and Global Security Summit 
  CNAS (November 2017)
• The AI Revolution
  Paul Scharre - U.S. Army War College Address

CNAS-Authored Publications

• Malicious AI Report
  Researchers at the Future of Humanity Institute, the Center for the Study of Existential Risk, OpenAI, the Electronic Frontier Foundation, the Center for a New American Security, and other organizations (February 2018)
• Battlefield Singularity: Artificial Intelligence, Military Revolution, and China’s Future Military Power
  Elsa B. Kania (November 2017)
• It’s time for congressional hearings on weaponized AI
  Gregory C. Allen – The Hill (November 2017)
• Emerging technology could make China the world’s next innovation superpower
  Elsa B. Kania – The Hill (November 2017)
• The United States Can Be a World Leader in AI. Here’s How.
  Paul Scharre & Alexander Velez-Green (October 2017)
• The Policy Dimension of Leading in AI
  Elsa B. Kania – Lawfare (October 2017)
• China Is Using America’s Own Plan to Dominate the Future of Artificial Intelligence
  Gregory Allen & Elsa B. Kania – Foreign Policy (September 2017)
• Putin and Musk are Right: Whoever masters AI will run the world
  Gregory C. Allen – CNN (September 2017)
• Making Sense of Rapid Technological Change
  Paul Scharre – CNAS Commentary (July 2017)
• Artificial Intelligence and National Security
  Greg Allen & Taniel Chan – Belfer Center for Science & International Affairs (July 2017)
• AI Will Make Forging Anything Entirely Too Easy
  Greg Allen – WIRED (July 2017)
• A Revolution in Artificial Intelligence
  Paul Scharre – The Cipher Brief (November 2016)

CNAS Podcasts

• CNAS Podcast Series on Artificial Intelligence
  CNAS (Updated bi-monthly)
• Paul Scharre Discusses Facebook Shutting Down its AI Program
  Paul Scharre and Neal Urwitz – CNAS Podcast Series (August 2017)
• Elon Musk and Mark Zuckerberg Debate on Future of AI: Who’s Right? Paul Scharre and Neal Urwitz – CNAS Podcast Series (July 2017)
• Artificial Intelligence and National Security Gregory C. Allen and Neal Urwitz – CNAS Podcast Series (July 2017)
• How Artificial Intelligence Could Impact Warfare Paul Scharre and Neal Urwitz – CNAS Podcast Series (July 2017)

Official Government Documents

• State Council Notice on the Issuance of the Next Generation Artificial Intelligence Development Plan
  People’s Republic of China (July 2017)
• Preparing for the Future of Artificial Intelligence
  Executive Office of the President – National Science and Technology Council Committee on Technology (October 2016)
• The National Artificial Intelligence Research and Development Plan
  National Science and Technology Council – Networking and Information Technology Research and Development Subcommittee (October 2016)
• Artificial Intelligence, Automation, and the Economy
  Executive Office of the President (December 2016)

Noteworthy Books, Reports, and Articles

• Sentient Machine
  Amir Husain (2017)
• Protecting Against AI's Existential Threat
  Ilya Sutskever & Dario Amodei - The Wall Street Journal (October 2017)
• Artificial Intelligence--With Very Real Biases
  Kate Crawford - The Wall Street Journal (October 2017)
• How to Regulate Artificial Intelligence
  Oren Etzioni - The New York Times (September 2017)
• The MADCOM Future: How Artificial Intelligence Will Enhance Computational Propaganda, Reprogram Human Culture, and Threaten Democracy... and What Can Be Done About It
  Matt Chessen - The Atlantic Council (September 2017)
• Machine Learning for Policymakers – What It Is and Why It Matters 
  Ben Buchanan & Taylor Miller – Belfer Center for Science and International Affairs (June 2017)
• The Real Threat of Artificial Intelligence
  Kai-Fu Lee - The New York Times (June 2017)
• When Will AI Exceed Human Performance? Evidence from AI Experts
  Katja Grace, John Salvatier, Allan Dafore, Baobao Zhang, Owain Evans - arXiv (May 2017)
• AI, Robots, and Swarms: Issues, Questions, and Recommended Studies 
  Andrew Ilanchinski – CNA (January 2017)
• AI Now 2017 Report
  Alex Campolo, Madelyn Sanfilippo, Meredith Whittaker, Kate Crawford (2017)
• Long-Term Trends in the Public Perception of Artificial Intelligence
  Ethan Fast & Eric Horvitz - arXiv (December 2016)
• Artificial Intelligence and Life in 2030 
  One Hundred Year Study on Artificial Intelligence – Stanford University (September 2016)
• Concrete Problems in AI Safety 
  Dario Amodei, Chris Olah, Jacob Steinhardt, Paul Christiano, John Schulman, Dan Mané – arXiv (July 2016)
• Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
  Anh Nguyen, Jason Yosinski, & Jeff Clune – Institute for Electrical and Electronics Engineers (IEEE) (2015)
  
• The Master Algorithm
  Pedro Domingos (2015)
• Deep Mind’s AlphaZero Go Blog 
  Alphabet Inc.
• AI Progress Measurement 
  Electronic Frontier Foundation
• Artificial Intelligence and National Security
  Congressional Research Service (April 2018)