97 Things About Ethics Everyone in Data Science Should Know

Index

Symbols

• "10 Fascinating Examples of Unintended Consequences", The Ramifications of Unintended Consequences
• 21 Lessons for the 21st Century (Harari), Yiannis Kanellopoulos
• 23andme, Jennifer Lewis Priestley

A

• access, to data science methods, Eric Schmidt
• accountability
  • algorithmic systems and, Yiannis Kanellopoulos
  • high-trust leaders and, Practice Accountability
  • making a priority of, Yiannis Kanellopoulos-Yiannis Kanellopoulos
• accountability cues, Are You a Bystander or an Upstander?
• accounting, Steven Mintz-Steven Mintz
• accuracy
  • ethical/legal ramifications of results, Marty Ellingsworth
  • unbiased/fair distinction and, Doug Hague
• ACLU (American Civil Liberties Union), Fred Nugen
• ACM (Association for Computing Machinery), Hugh Watson
• ADSs (Automated Decision Systems), Jitendra Mudhol and Heidi Livingston Eisips-The Time to Be an Upstander Is Now
• adverse impacts
  • minimizing, Miroslava Walekova-3. Improve
  • preventing, 1. Prevent
  • rectifying, 2. Rectify
• advertising, John Thuma
  • (see also marketing)
  • algorithmic misclassification and, Arnobio Morelix
  • "creepiness scale" and, Hugh Watson
  • spam regulation, John Thuma
• AEA (American Economic Association), Steven C. Myers
• African Americans
  • algorithmic misclassification and disenfranchisement, Arnobio Morelix
  • mortgage refinancing discrimination, Arnobio Morelix
  • predictive policing and, Eric Siegel-Eric Siegel
  • pretrial risk assessment and, Marc Faddoul
  • recidivism models and, Doug Hague
• agile mindset, Identify and Engage Your Stakeholders
• AI Code of Ethical Conduct, Adopt an AI Code ...