From the Ground Truth Up: Doing AI Ethics from Practice to Principles

AI and Society 37 (1):1-7 (2022)
Download Edit this record How to cite View on PhilPapers
Recent AI ethics has focused on applying abstract principles downward to practice. This paper moves in the other direction. Ethical insights are generated from the lived experiences of AI-designers working on tangible human problems, and then cycled upward to influence theoretical debates surrounding these questions: 1) Should AI as trustworthy be sought through explainability, or accurate performance? 2) Should AI be considered trustworthy at all, or is reliability a preferable aim? 3) Should AI ethics be oriented toward establishing protections for users, or toward catalyzing innovation? Specific answers are less significant than the larger demonstration that AI ethics is currently unbalanced toward theoretical principles, and will benefit from increased exposure to grounded practices and dilemmas.
PhilPapers/Archive ID
Upload history
Archival date: 2022-01-05
View other versions
Added to PP index

Total views
94 ( #53,695 of 71,335 )

Recent downloads (6 months)
34 ( #24,599 of 71,335 )

How can I increase my downloads?

Downloads since first upload
This graph includes both downloads from PhilArchive and clicks on external links on PhilPapers.