Can AI be held accountable for misleading impressions?: Why solving digital gender bias needs humans

Authors

  • Christiane Féral-Schuhl Christiane Féral-Schuhl is president of the French National Bar Council

Keywords:

digital, gender, France

Abstract

Following International Women's Day 2020, the French National Bar Council (CNB) gathered fifteen  women lawyers, engineers, professors, researchers, programmers and entrepreneurs to seek solutions to  gender bias in artificial intelligence algorithms.

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Published

2021-08-02

How to Cite

Féral-Schuhl , C. . (2021). Can AI be held accountable for misleading impressions?: Why solving digital gender bias needs humans. Swiss Chinese Law Review, 1(2). Retrieved from https://ac.sclalawreview.org/index.php/ac/article/view/113

Issue

Vol. 1 No. 2 (2020): Swiss Chinese Law Review

Section

Technology and Law