Meeting KI-Postdocs: 'Negativity bias in research'

"Why comparisons between the transparency of artificial intelligence and human cognition are problematic" (Dr. Uwe Peters) Artificial intelligence (AI) algorithms used in high-stakes decision-making contexts often lack transparency in that the internal factors that lead them to their decisions remain unknown. While this is commonly thought to be a problem with these systems, many AI researchers respond that we shouldn’t be overly concerned because empirical evidence shows that human decision-making is equally opaque and isn’t usually required to be more transparent. I argue that the empirical data on human cognition that are claimed to support this equal opacity view don’t sufficiently support it. In fact, the equal opacity view rests on a narrow, selective, and uncritical survey of relevant psychological studies.
Zeit
Montag, 07.02.2022 16:15 Uhr - 17:45 Uhr
Themengebiet
Digitalisierung/KI, Ethik
Zielgruppen

Wissenschaftler*innen

Sprachen
Englisch
Ort
Online über Zoom
Raum
Zoom link: https://uni-bonn.zoom.us/j/94884157465?pwd=VW1SdnVDeEdqa3VOeUJyUjkwZ25Idz09 ID: 948 8415 7465 Password: 731091
Reservierung
Nein
Veranstalter
TRA Individuen, Institutionen und Gesellschaften; Center for Science and Thought
Kontakt
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