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Thomas Crul - Algorithmic bias is everywhere (especially at Breeze) - what can we do about it?
Learn how dating app Breeze tackles algorithmic bias in their recommendation system, exploring ethical solutions while balancing user privacy, legal compliance & business goals.
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The Breeze dating app discovered bias issues in their recommendation system, particularly regarding ethnicity and racial bias
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Key challenges stem from predominantly European user base and potential algorithmic discrimination against users of non-European ethnicity
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Dutch Human Rights Institute confirmed that interventions aimed at addressing ethnic discrimination in dating apps are legally allowed
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Current approach uses the Monk skin tone scale to measure diversity metrics while maintaining user privacy and GDPR compliance
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Team organized consultations with 50 experts and ethics committees to properly address the issue
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Business model differs from traditional dating apps by only charging when matches occur, not through subscriptions or ads
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Four main intervention options identified:
- Self-identification audits
- Introducing test profiles
- Using paid agents
- Anonymizing existing data
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Technical implementation requires careful balance between measuring bias and protecting user privacy/data
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Need for complete voluntary consent and transparency when collecting ethnicity data
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Recommendations:
- Start with measuring and understanding bias before implementing changes
- Get diverse perspectives when designing solutions
- Focus on leveling the playing field without introducing new biases
- Consider intersectionality with other demographic factors