Latest / AI Ethics with Fexingo: Bias, Safety, and Responsible Artificial Intelligence
How AI Models Learn Bias From Dating App Algorithms
Episode 107 of AI Ethics with Fexingo explores a surprising source of algorithmic bias: dating apps. Lucas and Luna unpack how recommendation algorithms on platforms like Tinder and Hinge can encode racial, socioeconomic, and appearance-based preferences, reinforcing stereotypes and affecting real-world match outcomes. They discuss a 2025 study from Stanford's Human-Centered AI Lab that found users' swiping patterns train models to favor certain demographics, creating feedback loops of exclusion. The hosts also examine the ethical implications of 'desirability scores' and whether regulation…
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