Knowledge@HEC podkast

Revealing and Countering AI Bias

24.06.2021
0:00
31:22
Do tyłu o 15 sekund
Do przodu o 15 sekund
A large body of empirical evidence points to bias in access to credit. This is stigmatizing women, ethnic minorities and consumers from certain geographical zones. Nowadays, algorithms and machine-learning techniques could be unintentionally exacerbating this bias. HEC Associate Dean for Research, Christophe Pérignon, describes these challenges - and new techniques he has developed to reduce bias impact. These techniques can be applied in banking, insurance, hiring, fraud detection and justice.

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