ΑΙhub.org
 

Radical AI podcast: featuring Jason Edward Lewis


by
20 September 2021



share this:

Jason Edward Lewis radical AI
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 Jason Edward Lewis Indigenous AI.

Indigenous AI 101 with Jason Edward Lewis

What is Indigenous AI and how might it drive our technology design and implementation?

To answer this question and more in this episode we interview Jason Edward Lewis about Indigenous AI Protocols and a paper he co-authored entitled “Position Paper on Indigenous Protocol and Artificial Intelligence.”

Jason Edward Lewis is a Hawaiian and Samoan digital media theorist, poet, and software designer. Jason also founded Obx Laboratory for Experimental Media and is the University Research Chair in Computational Media and the Indigenous Future Imaginary as well as a Professor of Computation Arts at Concordia University, Montreal. Jason directs the Initiative for Indigenous Futures, and co-directs the Indigenous Futures Research Centre, the Indigenous Protocol and AI Workshops, the Aboriginal Territories in Cyberspace research network, and the Skins Workshops on Aboriginal Storytelling and Video Game Design.

Follow Jason on Twitter @jaspernotwell

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.



tags: ,


The Radical AI Podcast

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

AI100 longitudinal study examines how AI has entered the mainstream

  10 Nov 2026
Published every five years, the report is compiled by experts in the field.
AI pioneers

Thinking big – from constraint programming to the Holy Grail: an interview with Gene Freuder

  10 Nov 2026
In our latest instalment of AI Pioneers, we speak to Gene Freuder on the field of constraint programming, neurosymbolic and generative AI approaches in AI, and the bigger picture of computer science.

How attackers persuade AI agents to break the rules

  09 Nov 2026
As AI assistants evolve into AI agents, a study has found that the biggest safety risks in their use may not come from single malicious prompts, but from carefully orchestrated conversations.

Interview with Minji Park: humans in the loop to keep language models up to date

  06 Nov 2026
Human-AI co-inference through a shared editable state.

AI plus chemistry can expand battery electrolyte design

  05 Nov 2026
Researchers are using artificial intelligence to speed the search for better battery materials.
coffee corner

AIhub coffee corner: Are humanoids the future of embodied AI?

  04 Nov 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

“With AI, we need to reconsider what it means to learn”

  03 Nov 2026
Artificial intelligence is forcing universities to reinvent how they teach and assess students’ knowledge.

Forthcoming machine learning and AI seminars: November 2026 edition

  02 Nov 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.


↑


AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence