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UID:pretalx-tdf4-MKSYLS@cfp.cttue.de
DTSTART;TZID=CET:20250727T123000
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DESCRIPTION:Artificial intelligence is increasingly used to make decisions 
 that affect our lives\, from job applications to loan approvals to what co
 ntent we see online. But these systems can sometimes treat people unfairly
 \, especially those from underrepresented groups. Researchers have develop
 ed many ways to make machine learning fairer. However\, these solutions ar
 e rarely used by companies\, since they can reduce performance and are not
  yet required by most laws. Meanwhile\, these systems often rely on data c
 ontributed by users themselves. This opens up a new possibility: what if t
 he people affected by biased AI could take action collectively? In this ta
 lk\, I’ll start by explaining what machine learning is and how it can po
 tentially become unfair. I will then share initial results about how a sma
 ll\, coordinated minority can shift the behavior of AI systems toward fair
 er outcomes.
DTSTAMP:20260908T193210Z
LOCATION:Stage 1 (EG)
SUMMARY:Fighting Bias in AI: Can Ordinary People Make a Difference? - Omri 
 Ben Dov
URL:https://cfp.cttue.de/tdf4/talk/MKSYLS/
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