3 papers
cs.HC2026
When Feasibility of Fairness Audits Relies on Willingness to Share Data: Examining User Acceptance of Multi-Party Computation Protocols for Fairness Monitoring
Changyang He, Parnian Jahangirirad, Lin Kyi +1
Fairness monitoring is critical for detecting algorithmic bias, as mandated by the EU AI Act. Since such monitoring requires sensitive user data (e.g., ethnicity), the AI Act permi…
cs.CY2026
Co-designing for Compliance: Multi-party Computation Protocols for Post-Market Fairness Monitoring in Algorithmic Hiring
Changyang He, Nina Baranowska, Josu Andoni Eguiluz Castaneira +5
Post-market fairness monitoring is now mandated to ensure fairness and accountability for high-risk employment AI systems under emerging regulations such as the EU AI Act. However,…
cs.HC2026
"What If My Face Gets Scanned Without Consent": Understanding Older Adults' Experiences with Biometric Payment
Yue Deng, Changyang He, Bo Li +1
Biometric payment, i.e., biometric authentication implemented in digital payment systems, can reduce memory demands and streamline payment for older adults. However, older adults'…