output
20122025
most citedDeep Reinforcement Learning that Matters

345 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2023Show all

6 papers · 1 filter

cs.CL2023★ 224 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.HC2023★ 15 cited

Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI Collaboration in Data Storytelling

Haotian Li, Yun Wang, Q. Vera Liao +1

Data storytelling plays an important role in data workers' daily jobs since it boosts team collaboration and public communication. However, to make an appealing data story, data wo…

cs.CY2023★ 65 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.HC2023★ 51 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.HC2023★ 46 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.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,…