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cs.HC2026

Sycophantic AI makes human interaction feel more effortful and less satisfying over time

Lujain Ibrahim, Franziska Sofia Hafner, Myra Cheng +5

Millions of people now turn to artificial intelligence (AI) systems for personal advice, guidance, and support. Such systems can be sycophantic, frequently affirming users' views a…

cs.HC2026

Interactive visualizations for adolescents to understand and challenge algorithmic profiling in online platforms

Yui Kondo, Kevin Dunnell, Isobel Voysey +6

Social media platforms regularly track, aggregate, and monetize adolescents' data, yet provide them with little visibility or agency over how algorithms construct their digital ide…

cs.HC2025

Clinical knowledge in LLMs does not translate to human interactions

Andrew M. Bean, Rebecca Payne, Guy Parsons +8

Global healthcare providers are exploring use of large language models (LLMs) to provide medical advice to the public. LLMs now achieve nearly perfect scores on medical licensing e…

cs.HC2025

Algorithmic Mirror: Designing an Interactive Tool to Promote Self-Reflection for YouTube Recommendations

Yui Kondo, Kevin Dunnell, Qing Xiao +2

Big Data analytics and Artificial Intelligence systems derive non-intuitive and often unverifiable inferences about individuals' behaviors, preferences, and private lives. Drawing…

cs.HC2025

Access Denied: Meaningful Data Access for Quantitative Algorithm Audits

Juliette Zaccour, Reuben Binns, Luc Rocher

Independent algorithm audits hold the promise of bringing accountability to automated decision-making. However, third-party audits are often hindered by access restrictions, forcin…