output
20122023
most citedSupporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding

224 citations

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5 papers · 1 filter

cs.CL2023224 cited

Supporting Qualitative Analysis with Large Language Models: Combining Codebook with GPT-3 for Deductive Coding

Ziang Xiao, Xingdi Yuan, Q. Vera Liao +2

Qualitative analysis of textual contents unpacks rich and valuable information by assigning labels to the data. However, this process is often labor-intensive, particularly when wo…

cs.CY202365 cited

Queer In AI: A Case Study in Community-Led Participatory AI

Organizers Of QueerInAI, :, Anaelia Ovalle +48

We present Queer in AI as a case study for community-led participatory design in AI. We examine how participatory design and intersectional tenets started and shaped this community…

cs.HC202351 cited

Can Workers Meaningfully Consent to Workplace Wellbeing Technologies?

Shreya Chowdhary, Anna Kawakami, Mary L. Gray +3

Sensing technologies deployed in the workplace can unobtrusively collect detailed data about individual activities and group interactions that are otherwise difficult to capture. A…

cs.HC202346 cited

Human-Centered Responsible Artificial Intelligence: Current & Future Trends

Mohammad Tahaei, Marios Constantinides, Daniele Quercia +13

In recent years, the CHI community has seen significant growth in research on Human-Centered Responsible Artificial Intelligence. While different research communities may use diffe…

cs.HC202380 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,…