Submitted for review at 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 cleaning 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 community and also in the ACM community.
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.
Study design phase
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: TBD
Key words: participatory design, explanation, transparency, education
Study description TBD.