Main Content
“Physiognomy’s New Clothes” by Agüera y Arcas, Mitchell, and Todorov (Medium, 2017)
1.2
https://perma.cc/8FVG-TWSQ
“Principles for Accountable Algorithms and a Social Impact Statement for Algorithms” by Nicholas Diakopoulos et al. (Fairness, Accountability, and Transparency in Machine Learning)
3.3
https://perma.cc/8F5U-C9JJ
“Regulating the Loop: Ironies of Automation Law” by Meg Leta Ambrose (We Robot, 2014)
6.2
https://perma.cc/E9KL-CSNK
“Resisting Reduction: A Manifesto” by Joi Ito
7.3
https://pubpub.ito.com/pub/resisting-reduction
“Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability” by Mike Ananny and Kate Crawford (New Media and Society, 2016)
5.4
https://perma.cc/3HF6-G9DS
“Should Prison Sentences Be Based On Crimes That Haven’t Been Committed Yet?” by Anna Maria Barry-Jester, Ben Casselman and Dana Goldstein
3.5
https://perma.cc/89PD-YUM7
“Society-in-the-Loop: Programming the Algorithmic Social Contract” by Iyad Rahwan
6.3
https://perma.cc/2KS7-WNL6
State of Wisconsin vs. Eric L. Loomis, Supreme Court of Wisconsin (2016)
3.6
https://perma.cc/639U-ZDSZ
“Technology is Biased too. How do we Fix it?” By Laura Hudson (Five Thirty Eight, July 20, 2017)
3.4
https://perma.cc/3KAC-7CQV
“The Current State of Machine Intelligence 3.0” by Shivon Zilis and James Cham (O’Rielly, 2017)
4.5
https://perma.cc/N7DQ-QKTX
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