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:



Subscribe to AIhub newsletter on substack



Related posts :

Forthcoming machine learning and AI seminars: April 2026 edition

  02 Apr 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 April and 31 May 2026.

#AAAI2026 invited talk: machine learning for particle physics

  01 Apr 2026
How is ML used in the search for new particles at CERN?
monthly digest

AIhub monthly digest: March 2026 – time series, multiplicity, and the history of RoboCup

  31 Mar 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

What I’ve learned from 25 years of automated science, and what the future holds: an interview with Ross King

  30 Mar 2026
We launch our new series with a conversation with Ross King - a pioneer in the field of AI-enabled scientific discovery.

A multi-armed robot for assisting with agricultural tasks

and   27 Mar 2026
How can a robot safely manipulate branches to reveal hidden flowers while remaining aware of interaction forces and minimizing damage?

Resource-constrained image generation and visual understanding: an interview with Aniket Roy

  26 Mar 2026
Aniket tells us about his research exploring how modern generative models can be adapted to operate efficiently while maintaining strong performance.

RWDS Big Questions: how do we highlight the role of statistics in AI?

  25 Mar 2026
Next in our series, the panel explores the statistical underpinning of AI.

A history of RoboCup with Manuela Veloso

  24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence