~/talk

Youth-Centered GAI Risks (YAIR): A Taxonomy of Generative AI Risks from Empirical Data

name:Yaman Yu
links:none on file
name:Yiren Liu
links:none on file
links:none on file
name:Yun Huang
links:none on file
name:Yang Wang
links:none on file
slides:none on file

Built from 344 youth–GAI chat logs, 30,305 Reddit discussions, and 153 AI incident reports, the taxonomy enumerates 84 specific risks across six categories and four interaction pathways, highlighting new youth‑specific harms such as Mental Wellbeing and Behavioral/Social Developmental risks plus novel manifestations of Toxicity, Privacy, Bias/Discrimination, and Misuse/Exploitation. The project also produces a searchable spreadsheet of examples and definitions and a guardrail prototype for youth‑parent collaboration that won the Berkeley LM hackathon.

AI-written summary · about

  1. 0:00Youth-Centered GAI Risks intro
  2. 1:15Need for youth risk taxonomy
  3. 2:41Data collection methods
  4. 4:05Youth-specific risks
  5. 5:39Privacy risks in youth-GAI
  6. 7:27Mental well-being risks
  7. 9:13Normalization of harmful AI
  8. 10:18Taxonomy applications
  9. 11:47Conclusion & Q&A
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