ΑΙhub.org
 

Radical AI podcast: featuring Michael Madaio

by
22 October 2020



share this:

michael madaio
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.

Checklists and principles and values, oh my! Practices for co-designing ethical technologies with Michael Madaio

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:

About Radical AI:

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.




The Radical AI Podcast




            AIhub is supported by:


Related posts :



Learning programs with numerical reasoning

Introducing a novel approach to efficiently learning programs with numerical values
13 June 2024, by

Interview with Tianfu Wang: A reinforcement learning framework for network resource allocation

Addressing resource allocation problems in the domain of network virtualization.
12 June 2024, by

Congratulations to the #IJCAI2024 award winners

The winners of three prestigious IJCAI awards for 2024 have been announced.
11 June 2024, by

Forthcoming machine learning and AI seminars: June 2024 edition

A list of free-to-attend AI-related seminars that are scheduled to take place between 10 June and 31 July 2024.
10 June 2024, by

Tweet round-up from #ICWSM24

Find out what participants got up to at the International Conference on Web and Social Media
10 June 2024, by

Interview with AAAI Fellow Mausam: talking information extraction, mentorship, and creativity

We spoke to Professor Mausam about his research, career path, and being selected as a 2024 AAAI Fellow.
06 June 2024, by




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association