Main Content
[OPTIONAL] “China’s Plan to ‘Lead’ in AI: Purpose, Prospects, and Problems” by Graham Webster, Rogier Creemers, Paul Triolo and Elsa Kania (August 1, 2017)
6.10
https://perma.cc/9HFW-RD9E
[OPTIONAL] “Data Monopolists Like Google Are Threatening the Economy” by Kira Radinsky (HBR, 2015)
4.11
https://perma.cc/T9TP-MD3P
[OPTIONAL] “End of the Road: Will automation put an end to the American trucker?” by Dominic Rushe (The Guardian, 2017)
6.9
https://perma.cc/7GQV-JTXU
[OPTIONAL] “Executive Summary: The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems” (IEEE, 2016)
2.6
https://perma.cc/MB4W-6GWB
[OPTIONAL] “How AI Startups Must Compete with Google” (Startup Grind)
4.13
https://www.youtube.com/watch?v=Mu3scWZvZKo
[OPTIONAL] “How Baidu Will Win China’s AI Race - and, Maybe, the World’s” by Jessi Hempel (Wired, 2017)
4.12
https://www.wired.com/story/how-baidu-will-win-chinas-ai-raceand-maybe-the-worlds/
[OPTIONAL] “How I learned to Stop Worrying and Love A.I.” by Robert Burton (The New York Times, September 21, 2015)
1.13
https://perma.cc/EU3V-QEV4
[OPTIONAL] “How the machine 'thinks': Understanding Opacity in Machine Learning Algorithms” by Jenna Burrell (Big Data and Society, 2016)
1.10
https://perma.cc/HGS3-NFKX
[OPTIONAL] “Is Artificial Intelligence Permanently Inscrutable?” by Aaron M. Bornstein (Nautilus, 2016)
5.8
https://perma.cc/TY9U-8U7E
[OPTIONAL] “Predicting Financial Crime: Augmenting the Predictive Policing Arsenal” by Brian Clifton, Sam Lavigne, & Francis Tseng (The New Inquiry)
3.14
https://perma.cc/QZW7-LNJR
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