Accepted into UMAP 2021
Study type: semi-structured interview
Key words: folk theories, fairness, recommender systems, algorithms, transparency, explanations
Exploratory, formative study seeking to explore what users need from explanations in a fairness-aware recommender system.
Data analysis phase
Study type: systematic lit review
Key words: ethics, computer science, education
Summative study seeking to explore the ways that ethics pedagogy has evolved in computer science classrooms in the SIGCHI , CS, and ACM communities.
Study design phase
Study type: Survey
Key words: ethics, computer science, education, attitudes
Formative study seeking to explore the attitudes that computing educators have towards incorporating ethics in their classroom, including roadblocks and challenges.
Study completed
Study type: semi-structured interview
Key words: XAI, transparency, explanations, predictive resource allocation
Exploratory formative study seeking to explore what users of a predictive resource allocation system need from XAI.
Study design phase
Study type: structured interview
Key words: radical, AI, resistance, power, ethics, responsible technology
Exploratory summative study seeking to co-define "Radical AI" with the responsible technology community from interviews on the Radical AI podcast.
Study design phase
Study type: Participatory, Community-Based Design Workshops
Key words: participatory design, explanation, transparency, education
Working with high schoolers to explore folk theories of algorithmic literacy and speculative futures for transparency / explainability design.