Main Content
[OPTIONAL] “Predicting Financial Crime: Augmenting the Predictive Policing Arsenal” by Brian Clifton, Sam Lavigne, & Francis Tseng (The New Inquiry)
3.12
https://perma.cc/QZW7-LNJR
[OPTIONAL] “Robots as Legal Metaphors” by Ryan Calo (Harvard Journal of Law and Technology, 2016)
1.11
https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2913746
[OPTIONAL] Stuck in a Pattern: Early evidence on "predictive policing" and civil rights by by David Robinson & Logan Koepke (Upturn, 2017)
3.11
https://perma.cc/23Q2-JEJV
[OPTIONAL] “The Doctor Just Won't Accept That!” by Zachary C. Lipton (NIPS 2017 Interpretable ML Symposium)
5.7
https://perma.cc/R35T-E9A7
[OPTIONAL] “The Relentless Pace of Automation” by David Rotman (MIT Technology Review, 2017)
6.7
https://perma.cc/ZG8Z-KY6E
[OPTIONAL] “When your self-driving car crashes, you could still be the one who gets sued” by Madeleine Claire Elish and Tim Hwang (Quartz, 2015)
2.7
https://perma.cc/UJ3X-7T6Y
[OPTIONAL] “Where machines could replace humans, and where they can’t (yet)” by Michael Chui, James Manyika, and Mehdi Miremadi (McKinsey Quarterly, 2016)
6.6
https://perma.cc/2RE9-2LK9
[OPTIONAL] “Why big tech companies are open-sourcing their AI systems” by Patrick Shafto (The Conversation, 2016)
4.10
https://perma.cc/KRW8-RPJF
[OPTIONAL] “Why Zuckerberg and Musk are Fighting About the Robot Future” by Ian Bogost (The Atlantic, 2017)
1.12
https://perma.cc/RK6C-S7Z2
“Our Machines Now Have Knowledge We’ll Never Understand” by David Weinberger (Wired, 2017)
5.3
https://perma.cc/3MAN-M5E9
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