105 citations · 214 across the 9 of their papers we have counts for
4 papers · 1 filter
Assessing the Fairness of AI Systems: AI Practitioners' Processes, Challenges, and Needs for Support
Michael Madaio, Lisa Egede, Hariharan Subramonyam +2
Various tools and practices have been developed to support practitioners in identifying, assessing, and mitigating fairness-related harms caused by AI systems. However, prior resea…
Stakeholder Participation in AI: Beyond "Add Diverse Stakeholders and Stir"
Fernando Delgado, Stephen Yang, Michael Madaio +1
There is a growing consensus in HCI and AI research that the design of AI systems needs to engage and empower stakeholders who will be affected by AI. However, the manner in which…
Risks of AI Foundation Models in Education
Su Lin Blodgett, Michael Madaio
If the authors of a recent Stanford report (Bommasani et al., 2021) on the opportunities and risks of "foundation models" are to be believed, these models represent a paradigm shif…
Beyond "Fairness:" Structural (In)justice Lenses on AI for Education
Michael Madaio, Su Lin Blodgett, Elijah Mayfield +1
Educational technologies, and the systems of schooling in which they are deployed, enact particular ideologies about what is important to know and how learners should learn. As art…