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Explore a groundbreaking research presentation that introduces the first comprehensive Youth-Centered Risk Taxonomy for Generative AI, developed through analysis of 344 youth-GAI chat logs, 30,305 Reddit discussions, and 153 AI incident reports. Discover six key risk categories and 84 specific risks organized along four interaction pathways that reveal previously unidentified dangers facing young people in their interactions with generative AI systems. Learn about newly identified Mental Wellbeing Risks and Behavioral and Social Developmental Risks, alongside fresh manifestations of traditional concerns like toxicity, privacy violations, bias and discrimination, and misuse and exploitation that existing child online safety and AI risk frameworks fail to address. Gain insights from empirical data that provides AI practitioners, educators, parents, and policymakers with a clear framework for understanding and mitigating the unique risks young people encounter when engaging with generative AI technology.
Syllabus
SOUPS 2025 - Youth-Centered GAI Risks (YAIR): A Taxonomy of Generative AI Risks from Empirical Data
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USENIX