Science & Systems

Demographic data-deletion gaps can make AI models biased, researchers find

Multimodal large language models exposed to skewed deletion requests show internally shifted representations and altered outputs toward the underrepresented demographic.

Why it mattersCompanies complying with AI privacy rules by erasing data may inadvertently amplify bias if deletion requests are unevenly distributed across user groups.