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Bill Boyuan Guo

dblp:330/9530 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2023
0000-0002-8303-4649ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Empirical software engineering · 100%
Human-computer interaction and pervasive computing
1 paper
Human-AI interaction · 100%
Artificial intelligence
1 paper
Trustworthy machine learning · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction
algorithmic auditing
0.712023
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice · CHI 2023
Empirical software engineering › software engineering practice
industrial practice
0.712023
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice · CHI 2023
Empirical software engineering
practitioner studies
0.712023
Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice · CHI 2023

Methods — techniques the papers use, named apart from their topics

interview study · 2.0co-design · 2.0
YearPublicationVenuePosition
2023 Understanding Practices, Challenges, and Opportunities for User-Engaged Algorithm Auditing in Industry Practice
abstract
Recent years have seen growing interest among both researchers and practitioners in user-engaged approaches to algorithm auditing, which directly engage users in detecting problematic behaviors in algorithmic systems. However, we know little about industry practitioners’ current practices and challenges around user-engaged auditing, nor what opportunities exist for them to better leverage such approaches in practice. To investigate, we conducted a series of interviews and iterative co-design activities with practitioners who employ user-engaged auditing approaches in their work. Our findings reveal several challenges practitioners face in appropriately recruiting and incentivizing user auditors, scaffolding user audits, and deriving actionable insights from user-engaged audit reports. Furthermore, practitioners shared organizational obstacles to user-engaged auditing, surfacing a complex relationship between practitioners and user auditors. Based on these findings, we discuss opportunities for future HCI research to help realize the potential (and mitigate risks) of user-engaged auditing in industry practice.
Wesley Deng, Bill Boyuan Guo, Alicia DeVrio, Hong Shen 0004, Motahhare Eslami, Kenneth Holstein
CHI2