Is Explainable AI our Solution to Mitigate Bias? | AI House Davos 2025
Автор: AI House Davos
Загружено: 2025-01-22
Просмотров: 350
This session will examine how explainable AI (XAI) can help mitigate bias by making AI systems more transparent and accountable. We’ll discuss the challenges of bias in AI and evaluate whether XAI can be a comprehensive solution or just one part of a broader approach, including diverse data and ethical oversight.
Speakers
David Roberts (CTO / CPO | Board Member, Allegro)
Wojciech Samek (Professor, Technische Universität Berlin)
Kseniia Fontaine (Senior Business Development and Operations Officer, ITU)
Przemysław Biecek (Professor, Warsaw University of Technology & University of Warsaw)
Moderator
Pamela Krzypkowska (Director of Research and Innovation, Ministry of Digital Affairs of Poland)
(c) AI House Davos 2025
Founders & Strategic Partners:
ETH AI Center, Merantix, G42, Hewlett Packard Enterprise
Presenting Partners & Guest Country:
KPMG, The University of Tokyo, Poland
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