Tackling bias in artificial intelligence, and eventually in humans

Artificial intelligence awakens great hopes, by allowing us to make decisions more quickly and objectively than human judgments alone.

While it holds out the promise of competitiveness, it also has a dark side, that of undesirable biases. AI is dependent on the social and cultural context of its designers and the data that feeds them.

During this Club Talk, Ann-Elise Delbecq, AI Elite team EMEA at IBM will discuss the emergence of tools and methodologies to deal with these new algorithmic biases.

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IMPORTANT

The capacity for our events is limited due to the health crisis we are currently going through. So, if for any reason unknown to us, you are unable to attend, we invite you to contact us as soon as possible in order to give your place to another member of the Club.

Participants are hereby informed that they are likely to appear on photographs taken at the event. These are intended to be published in print and/or digital media published by Maison Moderne.

PROGRAM

18:30 WELCOME SPEECH

18:40 INTERVENTION OF ANN-ELISE DELBECQUE