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Recent AI ethics has focused on applying abstract principles downward topractice. This paper moves in the other direction. Ethical insights aregenerated from the lived experiences of AI-designers working on tangible humanproblems, and then cycled upward to influence theoretical debates surroundingthese questions: 1) Should AI as trustworthy be sought through explainability,or accurate performance? 2) Should AI be considered trustworthy at all, or isreliability a preferable aim? 3) Should AI ethics be oriented towardestablishing protections for users, or toward catalyzing innovation? Specificanswers are less significant than the larger demonstration that AI ethics iscurrently unbalanced toward theoretical principles, and will benefit fromincreased exposure to grounded practices and dilemmas.

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