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Fighting Bias in AI: Can Ordinary People Make a Difference? (tdf2025)

2M ago 20:59

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Artificial intelligence is increasingly used to make decisions that affect our lives, from job applications to loan approvals to what content we see online. But these systems can sometimes treat people unfairly, especially those from underrepresented groups. Researchers have developed many ways to make machine learning fairer. However, these solutions are rarely used by companies, since they can reduce performance and are not yet required by most laws. Meanwhile, these systems often rely on data contributed by users themselves. This opens up a new possibility: what if the people affected by biased AI could take action collectively? In this talk, I’ll start by explaining what machine learning is and how it can potentially become unfair. I will then share initial results about how a small, coordinated minority can shift the behavior of AI systems toward fairer outcomes. Licensed to the public under https://creativecommons.org/licenses/by/4.0/ about this event: https://cfp.cttue.de/tdf4/talk/MKSYLS/

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1922 episodes

#Tech #Ccc Congress Hacking Security Netzpolitik #Germany #CCC media team #Video

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Fighting Bias in AI: Can Ordinary People Make a Difference? (tdf2025)

Chaos Computer Club - recent events feed (high quality)

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published 2M ago

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MP4•Episode home

Content provided by CCC media team. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by CCC media team or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

Artificial intelligence is increasingly used to make decisions that affect our lives, from job applications to loan approvals to what content we see online. But these systems can sometimes treat people unfairly, especially those from underrepresented groups. Researchers have developed many ways to make machine learning fairer. However, these solutions are rarely used by companies, since they can reduce performance and are not yet required by most laws. Meanwhile, these systems often rely on data contributed by users themselves. This opens up a new possibility: what if the people affected by biased AI could take action collectively? In this talk, I’ll start by explaining what machine learning is and how it can potentially become unfair. I will then share initial results about how a small, coordinated minority can shift the behavior of AI systems toward fairer outcomes. Licensed to the public under https://creativecommons.org/licenses/by/4.0/ about this event: https://cfp.cttue.de/tdf4/talk/MKSYLS/

… continue reading

1922 episodes

#Tech #Ccc Congress Hacking Security Netzpolitik #Germany #CCC media team #Video

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