6 citations · 14 across the 4 of their papers we have counts for
6 papers · 1 filter
Co-Designing AI For Mental Health Support With Young Adults of Color (YOC): Needs, Expectations, and Implications for AI Literacy
Elaine Dabin Jeon, John Bosco S. Bunyi, Hannah Kim +7
Young adults of color (YOC) face heightened mental health challenges and barriers to care while navigating developmental and life transitions. Situated between youth-oriented safeg…
Principles of Safe AI Companions for Youth: Parent and Expert Perspectives
Yaman Yu, Mohi, Aishi Debroy +3
AI companions are increasingly popular among teenagers, yet current platforms lack safeguards to address developmental risks and harmful normalization. Despite growing concerns, li…
YouthSafe: A Youth-Centric Safety Benchmark and Safeguard Model for Large Language Models
Yaman Yu, Yiren Liu, Jacky Zhang +2
Large Language Models (LLMs) are increasingly used by teenagers and young adults in everyday life, ranging from emotional support and creative expression to educational assistance.…
Understanding Generative AI Risks for Youth: A Taxonomy Based on Empirical Data
Yaman Yu, Yiren Liu, Jacky Zhang +2
Generative AI (GAI) is reshaping the way young users engage with technology. This study introduces a taxonomy of risks associated with youth-GAI interactions, derived from an analy…
LLM-Driven Optimization of HTML Structure to Support Screen Reader Navigation
Yaman Yu, Bektur Ryskeldiev, Ayaka Tsutsui +2
Online interactions and e-commerce are commonplace among BLV users. Despite the implementation of web accessibility standards, many e-commerce platforms continue to present challen…
Exploring Parent-Child Perceptions on Safety in Generative AI: Concerns, Mitigation Strategies, and Design Implications
Yaman Yu, Tanusree Sharma, Melinda Hu +2
The widespread use of Generative Artificial Intelligence (GAI) among teenagers has led to significant misuse and safety concerns. To identify risks and understand parental controls…