175 citations · 262 across the 8 of their papers we have counts for
5 papers · 1 filter
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction
Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky +2
Despite the proliferation of explainable AI (XAI) methods, little is understood about end-users' explainability needs and behaviors around XAI explanations. To address this gap and…
Weaving Privacy and Power: On the Privacy Practices of Labor Organizers in the U.S. Technology Industry
Sayash Kapoor, Matthew Sun, Mona Wang +2
We investigate the privacy practices of labor organizers in the computing technology industry and explore the changes in these practices as a response to remote work. Our study is…
A relationship and not a thing: A relational approach to algorithmic accountability and assessment documentation
Jacob Metcalf, Emanuel Moss, Ranjit Singh +2
Central to a number of scholarly, regulatory, and public conversations about algorithmic accountability is the question of who should have access to documentation that reveals the…
Artificial Concepts of Artificial Intelligence: Institutional Compliance and Resistance in AI Startups
Amy A. Winecoff, Elizabeth Anne Watkins
Scholars and industry practitioners have debated how to best develop interventions for ethical artificial intelligence (AI). Such interventions recommend that companies building an…
The four-fifths rule is not disparate impact: a woeful tale of epistemic trespassing in algorithmic fairness
Elizabeth Anne Watkins, Michael McKenna, Jiahao Chen
Computer scientists are trained to create abstractions that simplify and generalize. However, a premature abstraction that omits crucial contextual details creates the risk of epis…