Isbell, Charles Lee Jr.
1968- · Contribution: 1998-
Computer scientist and academic leader
AI and machine learning researcher who became dean of Georgia Tech's College of Computing, then provost of the University of Wisconsin-Madison, then chancellor of the University of Illinois Urbana-Champaign; his own misidentified photograph became the center of a major public debate over AI bias between Timnit Gebru, already profiled in this collection, and Meta's chief AI scientist
Portraits are AI-generated interpretations, not photographs.
Quick facts
- Born
- 1968, Atlanta, Georgia
- Active since
- 1994
- Category
- Technology & Engineering
- Best known for
- AI researcher and university leader
Impact on the world
Isbell advanced machine learning while becoming one of the most senior Black leaders in American higher education, and an accidental symbol in the debate over bias in AI systems.
An alternative history
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Sources
- Source lookupFind
Georgia Tech College of Computing
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Related visionaries
Gebru, Timnit
1982/1983-
Co-authored 'Gender Shades,' a landmark 2018 study proving major facial recognition systems were significantly less accurate on darker-skinned faces; co-founded Black in AI; her controversial 2020 departure from Google sparked one of the most prominent public debates over corporate AI ethics research
Buolamwini, Joy Adowaa
1989-
Founded the Algorithmic Justice League after discovering commercial facial recognition software could not detect her own face unless she wore a white mask; co-authored 'Gender Shades,' which forced IBM, Microsoft, and Amazon to overhaul their facial recognition products
Raji, Inioluwa Deborah
1995/1996-
Co-authored the 2019 'Actionable Auditing' study with Joy Buolamwini, already profiled in this collection, directly leading Amazon to face sustained public pressure over racial and gender bias in its facial recognition technology; later co-authored major frameworks for internal AI accountability auditing alongside Timnit Gebru, also already profiled here
Abebe, Rediet
1991-
Algorithmic fairness research