Hosted by Dylan Doyle-Burke and Jessie J Smith, Radical AI is a podcast featuring the voices of the future in the field of artificial intelligence ethics. In this episode Jess and Dylan chat to Michael Madaio about practices for co-designing ethical technologies.
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. Michael is a postdoctoral researcher at Microsoft Research working with the FATE (Fairness, Accountability, Transparency, and Ethics in AI) research group. He works at the intersection of human-computer interaction and AI/ML, where he uses human-centered methods to understand how we might co-design more equitable data-driven technologies with stakeholders. Michael received his PhD in Human-Computer Interaction from Carnegie Mellon University, where he was a PIER fellow funded by the Institute for Education Sciences and a Siebel Scholar. 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 Radical AI.
Listen to the episode below:
Hosted by Dylan Doyle-Burke, a PhD student at the University of Denver, and Jessie J Smith, a PhD student at the University of Colorado Boulder, Radical AI is a podcast featuring the voices of the future in the field of Artificial Intelligence Ethics.
Radical AI lifts up people, ideas, and stories that represent the cutting edge in AI, philosophy, and machine learning. In a world where platforms far too often feature the status quo and the usual suspects, Radical AI is a breath of fresh air whose mission is “To create an engaging, professional, educational and accessible platform centering marginalized or otherwise radical voices in industry and the academy for dialogue, collaboration, and debate to co-create the field of Artificial Intelligence Ethics.”
Through interviews with rising stars and experts in the field we boldly engage with the topics that are transforming our world like bias, discrimination, identity, accessibility, privacy, and issues of morality.
To find more information regarding the project, including podcast episode transcripts and show notes, please visit Radical AI.