96 citations · 224 across the 6 of their papers we have counts for
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cs.LG2026
Fairness under uncertainty in sequential decisions
Michelle Seng Ah Lee, Kirtan Padh, David Watson +2
Fair machine learning (ML) methods help identify and mitigate the risk that algorithms encode or automate social injustices. Algorithmic approaches alone cannot resolve structural…
cs.LG2023★ 30 cited
Out of Context: Investigating the Bias and Fairness Concerns of "Artificial Intelligence as a Service"
Kornel Lewicki, Michelle Seng Ah Lee, Jennifer Cobbe +1
"AI as a Service" (AIaaS) is a rapidly growing market, offering various plug-and-play AI services and tools. AIaaS enables its customers (users) - who may lack the expertise, data,…