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20202026
most citedExploring How Machine Learning Practitioners (Try To) Use Fairness Toolkits

96 citations · 142 across the 4 of their papers we have counts for

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Showing 2023Show all

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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,…