AI auditing

Conference paper: Educators in Hawai‘i designed AI audits around community knowledge and shared review

Dora Zhao, Hannah Cha, Michael J Ryan, Angelina Wang, Rachel Baker-Ramos, Evyn-Bree Helekahi-Kaiwi, Rebecca Diego, Josiah Hester, Diyi Yang

CHI Conference on Human Factors in Computing Systems (CHI 2026)

A CHI study with educators in O‘ahu explores how AI audits could make sources and cultural perspectives open to shared review. Its designs offer a starting point for local discussion, while their effectiveness and applicability elsewhere remain untested.