80 citations · 209 across the 22 of their papers we have counts for
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cs.HC2024★ 14 cited
Explainable AI Reloaded: Challenging the XAI Status Quo in the Era of Large Language Models
Upol Ehsan, Mark O. Riedl
When the initial vision of Explainable (XAI) was articulated, the most popular framing was to open the (proverbial) "black-box" of AI so that we could understand the inner workings…
cs.HC2023★ 4 cited
Why Don't You Do Something About It? Outlining Connections between AI Explanations and User Actions
Gennie Mansi, Mark Riedl
A core assumption of explainable AI systems is that explanations change what users know, thereby enabling them to act within their complex socio-technical environments. Despite the…
cs.HC2023★ 80 cited
Charting the Sociotechnical Gap in Explainable AI: A Framework to Address the Gap in XAI
Upol Ehsan, Koustuv Saha, Munmun De Choudhury +1
Explainable AI (XAI) systems are sociotechnical in nature; thus, they are subject to the sociotechnical gap--divide between the technical affordances and the social needs. However,…