ΑΙhub.org
 

Radical AI podcast: featuring Anima Anandkumar


by
13 October 2020



share this:


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 Anima Anandkumar about democratizing AI.

Democratizing AI: inclusivity, accountability, & collaboration with Anima Anandkumar

What are current attitudes towards AI Ethics from within the tech industry? How can we make computer science a more inclusive discipline for women? What does it mean to democratize AI? Why should we? How can we?

To answer these questions and more we welcome Dr Anima Anandkumar to the show. Anima holds dual positions in academia and industry. In academia – she is a professor in the Caltech Computing and Mathematical Sciences department. In Industry – she is the director of machine learning research at NVIDIA. At NVIDIA, she is leading the research group that develops next-generation AI algorithms. Anima is also the youngest named chair professor at Caltech, where she co-leads the AI4science initiative. 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 :



Better images of AI on book covers

  25 Nov 2025
We share insights from Chrissi Nerantzi on the decisions behind the cover of the open-sourced book ‘Learning with AI’, and reflect on the significance of book covers.

What is AI poisoning? A computer scientist explains

  24 Nov 2025
Poisoning is a growing problem in the world of AI – in particular, for large language models.

New AI technique sounding out audio deepfakes

  21 Nov 2025
Researchers discover a smarter way to detect audio deepfakes that is more accurate and adaptable to keep pace with evolving threats.

Learning robust controllers that work across many partially observable environments

  20 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Interview with Mario Mirabile: trust in multi-agent systems

  18 Nov 2025
We meet ECAI Doctoral Consortium participant, Mario, to find out more about his research.

Review of “Exploring metaphors of AI: visualisations, narratives and perception”

and   17 Nov 2025
A curated research session at the Hype Studies Conference, “(Don’t) Believe the Hype?!” 10-12 September 2025, Barcelona.

Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design

  13 Nov 2025
Autonomous systems increasingly face value-laden choices. This blog post introduces the idea of designing “conflict-sensitive” autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence