The following sources are cited in SAP Digital Futures Issue 23: Teaching Machines Right from Wrong
By 2018, smart machines will supervise over 3 million workers worldwide.
“Gartner Reveals Top Predictions for IT Organizations and Users for 2016 and Beyond” (press release), Gartner Newsroom, October 6, 2015, http://www.gartner.com/newsroom/id/3143718.
21% of consumers in an FTC study had confirmed errors on their credit reports.
Report to Congress Under Section 319 of the Fair and Accurate Credit Transactions Act of 2003, Federal Trade Commission, December 2012, https://www.ftc.gov/sites/default/files/documents/reports/section-319-fair-and-accurate-credit-transactions-act-2003-fifth-interim-federal-trade-commission/130211factareport.pdf
The first annual Fairness, Accountability, and Transparency in Machine Learning (FATML) conference was held in 2014.
“2014 Schedule,” Fairness, Accountability, and Transparency in Machine Learning website, http://www.fatml.org/2014.
A private university encouraged 20–25 students to drop out based on AI predictions of poor grades.
Scott Jaschik, “Drowned Bunnies: Part 2,” Inside Higher Ed, January 25, 2016, https://www.insidehighered.com/news/2016/01/25/mount-st-marys-board-blames-faculty-furor-over-presidents-metaphor-and-plans