From the 1 of 3 linked papers with an AI index.
3 papers
cs.HC2026
Human-in-the-Loop User Feedback Affects Perceived Accuracy and Trust, but Task Subjectivity Matters
Donald R. Honeycutt, Mahsan Nourani, Eric D. Ragan
While ML can produce complex models beyond those that a human could produce manually, incorporating human input can often improve performance beyond purely data-driven models. Whil…
cs.HC2026
"Trust Junk" Leads to Unjustified Support for Highly Discriminatory Predictive Models
Michael Correll, Lucy Havens, Mahsan Nourani
The paper shows that adding accurate but irrelevant data to model explanations can cause people to over‑trust and positively view discriminatory predictive models, highlighting ris…
cs.HC2026
Amplifying Rural Educators' Perspectives: A Qualitative Study of Generative AI's Impact in Rural U.S. High Schools
Shira Michel, Benjamin Taylor, Sabrina Parra DÃaz +3
Recent breakthroughs in Generative AI (GenAI) are reshaping educational landscapes, presenting challenges and opportunities. While all contexts present unique challenges, rural sch…