What are the limitations of using checklists for fairness? What are the alternatives? How do we effectively design ethical AI systems around our collective values? 

To answer these questions we welcome Dr. Michael Madaio to the show.

Madaio is a postdoc at Microsoft Research working with the FATE (Fairness, Accountability, Transparency, and Ethics in AI) research group. Michael works at the intersection of human-computer interaction, AI/ML, and public interest technology, where he uses human-centered methods to understand how we might equitably co-design data-driven technologies in the public interest with impacted stakeholders.

Michael, along with other collaborators at Microsoft FATE, authored the paper: “Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI”, which is one of the major focuses of this interview! 

Full show notes for this episode can be found at Radicalai.org. 

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