References

Chapter 1

  1. 1. Scism, L. (2017, May 23). “Insurance: Where Humans Still Rule Over Machines.” The Wall Street Journal. Retrieved from https://www.wsj.com/articles/insurance-a-place-where-humans-not-machines-rule-1495549740

  2. 2. Anderson, M. (2017, May 11). “Twenty Years on from Deep Blue vs Kasparov: How a Chess Match Started the Big Data Revolution.” Retrieved August 28, 2019, from http://theconversation.com/twenty-years-on-from-deep-blue-vs-kasparov-howa-chess-match-started-the-big-data-revolution-76882

  3. 3. Cassidy, M. (2017, December 6). “Centaur Chess Shows Power of Teaming Human and Machine.” HuffPost. Retrieved from https://www.huffpost.com/entry/centaur-chess-shows-power_b_6383606

  4. 4. Mercatus Center. (2017, May 10). “Garry Kasparov on AI, Chess, and the Future of Creativity” (Ep. 22). Retrieved August 26, 2019, from https://medium.com/conversations-with-tyler/garry-kasparov-tyler-cowen-chess-iq-ai-putin-3bf28baf4dba

  5. 5. McCarthy, J., Minsky, M. L., Rochester, N., and Shannon, C. E. (1955, August 31). “A Proposal for the Dartmouth Summer Research Project on Artificial Intelligence.” (Reproduced in AI Magazine, vol. 27, no. 4 [2006]; https://doi.org/10.1609/aimag.v27i4.1904.)

  6. 6. Simon, H. A. (1965). The Shape of Automation for Men and Management, p. 96. Harper & Row. (Cited by Raymond Kurzweil in “What Is Artificial Intelligence Anyway?” American Scientist, vol. 73, no. 3 [May–June 1985], pp. 258–264.)

  7. 7. Minsky, M. L. (1967). Computation: Finite and Infinite Machines, p. 2. Upper Saddle River (NJ): Prentice-Hall, Inc. (Cited by Aggarwal, A. [2018]. “The Birth of AI and the First AI Hype Cycle.” KDNuggets.) Retrieved from https://www.kdnuggets.com/2018/02/birth-ai-first-hype-cycle.html

  8. 8. Licklider, J. C. R. (1960, March). “Man-Computer Symbiosis.” IRE Transactions on Human Factors in Electronics, vol. HFE-1, no. 1, pp. 4–11. Retrieved from https://ieeexplore.ieee.org/document/4503259

  9. 9. Engelbart, D. C. (1962, October). “Augmenting Human Intellect: A Conceptual Framework.” (Prepared for Director of Office of Information Sciences, Air Force Office of Scientific Research.) Retrieved from https://www.dougengelbart.org/pubs/papers/scanned/Doug_Engelbart-AugmentingHumanIntellect.pdf

  10. 10. Tversky, A. and Kahneman, D. (1973). “Availability: A Heuristic for Judging Frequency and Probability.” Cognitive Psychology, vol. 5, pp. 207–232.

  11. 11. Tversky, A. and Kahneman, D. (1974). “Judgment under Uncertainty: Heuristics and Biases.” Science (New Series), vol. 185, pp. 1124–1131.

  12. 12. Kahneman, D., Slovic, P., and Tversky, A. (1982). Judgment under Uncertainty: Heuristics and Biases. New York (NY): Cambridge University Press.

  13. 13. Kahneman, D. and Tversky, A. (1979). “Prospect Theory: An Analysis of Decision under Risk.” Econometrica, vol. 47, no. 2, pp. 263–292; https://doi.org/10.2307/1914185

  14. 14. Bostrum, N. (2014). Superintelligence: Paths, Dangers, and Strategies. Oxford University Press.

  15. 15. “King with the Power to Turn Whatever He Touches to Gold.” (2019, August 26). Retrieved August 26, 2019, from https://en.wikipedia.org/wiki/Midas

Chapter 3

  1. 1. Colarusso, D. (2015, July 29). “Bureaucrats and Mathemagicians: Data Science and the Public Defenders.” Retrieved August 28, 2019, from https://www.lawtechnologytoday.org/2015/07/data-science-public-defenders/

  2. 2. Meier, D. (2013). The Identification of Individuals Potentially Affected by the Alleged Conduct of Chemist Annie Dookhan at The Hinton Drug Laboratory—Final Report to Governor Deval Patrick. Retrieved from https://archives.lib.state.ma.us/bitstream/handle/2452/205819/ocn856540987.pdf?sequence=3&is/Allowed=y

  3. 3. Schuppe, J. (2017, April 18). “Epic Drug Lab Scandal Results in More Than 20,000 Convictions Dropped.” Retrieved August 27, 2019, from https://www.nbcnews.com/news/us-news/epic-drug-lab-scandal-results-more-20-000-convictions-dropped-n747891

  4. 4. “Zillow Prize: Zillow’s Home Value Prediction (Zestimate)—Can You Improve the Algorithm That Changed the World of Real Estate?” (2017). Retrieved August 27, 2019, from https://www.kaggle.com/c/zillow-prize-1

  5. 5. Zillow, Inc. (2018, March 1). “Zillow Awards First Round Prizes in Zestimate 0 Competition 100 Teams Advance to the Second Round of the Zillow Prize Competition to Improve the Zestimate’s Accuracy.” Retrieved August 27, 2019, from http://zillow.mediaroom.com/2018-03-01-Zillow-Awards-First-Round-Prizes-in-Zestimate-Competition

  6. 6. “Zillow Launches $1 Million Zestimate Competition for Data Scientists.” (2017, May 24). Retrieved August 27, 2019, from https://www.prnewswire.com/news-releases/zillow-launches-1-million-zestimate-competition-for-data-scientists-300462943.html

  7. 7. “Exploratory Analysis—Zillow.” (2017). Retrieved August 27, 2019, from https://www.kaggle.com/philippsp/exploratory-analysis-zillow

Chapter 4

  1. 1. Bean, R. (2018, March 15). “How American Express Excels As A Data-Driven Culture.” Retrieved August 29, 2019, from https://www.forbes.com/sites/ciocentral/2018/03/15/how-american-express-excels-as-a-data-driven-culture/

Chapter 5

  1. 1. Kraljic, P. (1983). “Purchasing Must Become Supply Management.” Harvard Business Review, vol. 61, no. 5, pp. 109–117. Retrieved from https://hbr.org/1983/09/purchasing-must-become-supply-management%20DOI

  2. 2. Safdar, K. (2016, November 27). “As Gap Struggles, Its Analytical CEO Prizes Data Over Design.” The Wall Street Journal. Retrieved from https://www.wsj.com/articles/as-gap-struggles-its-analytical-ceo-prizes-data-over-design-1480282911

  3. 3. Israeli, A. and Avery, J. “Predicting Consumer Tastes with Big Data at Gap.” Harvard Business School Case 517-115, May 2017. (Revised March 2018.)

  4. 4. Safdar, K. (2019, February 28). “Gap to Split Into Two Public Companies.” The Wall Street Journal. Retrieved from https://www.wsj.com/articles/gap-to-split-into-two-publicly-traded-companies-11551389463

  5. 5. Steinmetz, K. (2018, May 3). “Stitch Fix Has One of Silicon Valley’s Few Female CEOs. But the Company Stands Out for More Than That.” Time. Retrieved from https://time.com/5264160/stitch-fix-has-one-of-silicon-valleys-few-female-ceos/

Chapter 7

  1. 1. Dwoskin, E. (2019, January 25). “YouTube Is Changing Its Algorithms to Stop Recommending Conspiracies.” The Washington Post. Retrieved from https://www.washingtonpost.com/technology/2019/01/25/youtube-is-changing-its-algorithms-stop-recommending-conspiracies/

  2. 2. Vedantam, S. (Host). (2016, May 17). “Hidden Brain” [Audio Podcast]. Retrieved from https://www.npr.org/2016/05/17/478266839/this-is-your-brain-on-uber

  3. 3. Duhigg, C. (2012, February 25). “How Companies Learn Your Secrets.” The New York Times. Retrieved from https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=1&_r=1&hp

  4. 4. “Facebook–Cambridge Analytica Data Scandal.” (2019). Retrieved August 27, 2019, from https://en.wikipedia.org/wiki/Facebook%E2%80%93Cambridge_Analytica_data_scandal

  5. 5. Art. 13 GDPR—“Information to be Provided Where Personal Data Are Collected from the Data Subject—General Data Protection Regulation (GDPR).” (2016, August 30). Retrieved August 29, 2019, from https://gdpr-info.eu/art-13-gdpr/

  6. 6. “Art. 14 GDPR—Information to be Provided Where Personal Data Have Not Been Obtained from the Data Subject—General Data Protection Regulation (GDPR).” (2016, October 6). Retrieved August 29, 2019, from https://gdpr-info.eu/art-14-gdpr/

  7. 7. “Art. 15 GDPR—Right of Access by the Data Subject—General Data Protection Regulation (GDPR).” (2018, March 28). Retrieved August 29, 2019, from https://gdpr-info.eu/art-15-gdpr/

  8. 8. “Art. 16 GDPR—Right to Rectification—General Data Protection Regulation (GDPR).” (2018, March 28). Retrieved August 29, 2019, from https://gdpr-info.eu/art-16-gdpr/

  9. 9. “Art. 17 GDPR—Right to Erasure (‘Right to be Forgotten’)—General Data Protection Regulation (GDPR).” (2017, June 12). Retrieved August 29, 2019, from https://gdpr-info.eu/art-17-gdpr/

  10. 10. “Art. 18 GDPR—Right to Restriction of Processing—General Data Protection Regulation (GDPR).” (2016, August 30). Retrieved August 29, 2019, from https://gdpr-info.eu/art-18-gdpr/

  11. 11. “Art. 20 GDPR—Right to Data Portability—General Data Protection Regulation (GDPR).” (2018, March 28). Retrieved August 29, 2019, from https://gdpr-info.eu/art-20-gdpr/

  12. 12. “Art. 21 GDPR—Right to Object—General Data Protection Regulation (GDPR).” (2018, March 28). Retrieved August 29, 2019, from https://gdpr-info.eu/art-21-gdpr/

  13. 13. “Art. 22 GDPR—Automated Individual Decision-Making, Including Profiling—General Data Protection Regulation (GDPR).” (2018, July 26). Retrieved August 29, 2019, from https://gdpr-info.eu/art-22-gdpr/

Chapter 9

  1. 1. Zoldi, S. (2014, July 21). “Research: New Analytics That Boost Fraud Detection.” Retrieved September 12, 2019, from https://www.fico.com/blogs/research-newanalytics-boost-fraud-detection

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