Tom Slee (SAP); Algorithmic Accountability: The Big Problems; Their Blog; 2017-10.
tl;dr → You have problems, SAP has expertise in this practice area. Call now.
Yvonne Baur, Brenda Reid, Steve Hunt, Fawn Fitter (SAP); How AI Can End Bias; In Their Other Blog, entitled The D!gitalist; 2017-01-16.
Teaser: Harmful human bias—both intentional and unconscious—can be avoided with the help of artificial intelligence, but only if we teach it to play fair and constantly question the results.
- The Canon is rehearsed.
- General Data Protection Regulation (GDPR)
- “in effect in” 2018 (2018-05-28).
Anti-patterns, Negative (Worst) Practices
- Bad statistics
- Ill-defined scales
- Bad Incentives
- Lack of transparency
Five Axes of Unfairness
Unfairness ↔ Disparate Impact
- Target variables
- Training data
- Feature selection
- Solon Barocas, self [Princeton]
- Cynthia Dwork, self [Microsoft]
Trade: pioneer [theorist]..
- Seth Flaxman, staff, Oxford University.
- Bryce Goodman, staff, Oxford University.
- Cathy O’Neil, self.
data scientiststatistician who works on a Macintosh Computer and lives in San Francisco.
- Frank Pasquale, professor, law [Maryland]
- Andrew Selbst, self [U.S. .Court of Appeals]
- Solon Barocas (Princeton University), Andrew D. Selbst (U.S. Court of Appeals); Big Data’s Disparate Impact; California Law Review, Vol. 104, 2016; 62 pages; ssrn:2477899; 2015-08-14; previously filled.
- Cynthia Dwork, Moritz Hardt, Toniann Pitassi, Omer Reingold, Rich Zemel; Fairness Through Awareness; arXiv:1104.3913; 2011-04-29→ 2011-11-20; 24 pages.
- Bryce Goodman, Seth Flaxman (Oxford University) Some Opinion/Editorial
- Frank Pasquale; The Black Box Society: The Secret Algorithms That Control Money and Information; Harvard University Press; 2016-08-29; 320 pages; ASIN:0674970845: Kindle: $10, paper: $11+SHT; separately filled.
- Cathy O’Neil; Weapons of Math Destruction; Broadway Books; 2017-09-06; 288 pages; ASIN:0553418831: Kindle: $12, paper: $8+SHT.