1 citations · 2 across the 4 of their papers we have counts for
4 papers
Skin-Deep Bias: How Avatar Appearances Shape Perceptions of AI Hiring
Ka Hei Carrie Lau, Philipp Stark, Efe Bozkir +1
Artificial intelligence is increasingly used in hiring, raising concerns about how applicants perceive these systems. While prior work on algorithmic fairness has emphasized techni…
Doing More With Less: Mismatch-Based Risk-Limiting Audits
Alexander Ek, Michelle Blom, Philip B. Stark +3
One approach to risk-limiting audits (RLAs) compares randomly selected cast vote records (CVRs) to votes read by human auditors from the corresponding ballot cards. Historically, s…
Improving the Computational Efficiency of Adaptive Audits of IRV Elections
Alexander Ek, Michelle Blom, Philip B. Stark +2
AWAIRE is one of two extant methods for conducting risk-limiting audits of instant-runoff voting (IRV) elections. In principle AWAIRE can audit IRV contests with any number of cand…
Efficient Weighting Schemes for Auditing Instant-Runoff Voting Elections
Alexander Ek, Philip B. Stark, Peter J. Stuckey +1
Various risk-limiting audit (RLA) methods have been developed for instant-runoff voting (IRV) elections. A recent method, AWAIRE, is the first efficient approach that can take adva…