Radical AI podcast: featuring Meredith Ringel Morris
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 Meredith Ringel Morris about ability and accessibility in AI.
Ability and accessibility in AI with Meredith Ringel Morris
What should you know about Ability and Accessibility in AI and responsible technology development? In this episode we interview Meredith Ringel Morris.
Meredith is a computer scientist conducting research in the areas of human-computer interaction (HCI), computer-supported cooperative work (CSCW), social computing, and accessibility. Her current research focus is on accessibility, particularly on the intersection of accessibility and social technologies.
Follow Meredith Morris on Twitter @merrierm.
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.