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




            AIhub is supported by:



Related posts :

AAAI presidential panel – AI and sustainability

  13 Feb 2026
Watch the next discussion based on sustainability, one of the topics covered in the AAAI Future of AI Research report.

How can robots acquire skills through interactions with the physical world? An interview with Jiaheng Hu

  12 Feb 2026
Find out more about work published at the Conference on Robot Learning (CoRL).

From Visual Question Answering to multimodal learning: an interview with Aishwarya Agrawal

and   11 Feb 2026
We hear from Aishwarya about research that received a 2019 AAAI / ACM SIGAI Doctoral Dissertation Award honourable mention.

Governing the rise of interactive AI will require behavioral insights

  10 Feb 2026
Yulu Pi writes about her work that was presented at the conference on AI, ethics and society (AIES 2025).

AI is coming to Olympic judging: what makes it a game changer?

  09 Feb 2026
Research suggests that trust, legitimacy, and cultural values may matter just as much as technical accuracy.

Sven Koenig wins the 2026 ACM/SIGAI Autonomous Agents Research Award

  06 Feb 2026
Sven honoured for his work on AI planning and search.

Congratulations to the #AAAI2026 award winners

  05 Feb 2026
Find out who has won the prestigious 2026 awards for their contributions to the field.

Forthcoming machine learning and AI seminars: February 2026 edition

  04 Feb 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 4 February and 31 March 2026.


AIhub is supported by:







 













©2026.01 - Association for the Understanding of Artificial Intelligence