ΑΙhub.org
 

Radical AI podcast: featuring Timnit Gebru


by
06 August 2020



share this:
Timnit Gebru

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 Timnit Gebru about “Racial Representation and Systemic Transformation”.

Racial Representation and Systemic Transformation with Timnit Gebru

How do we respond to the racism in the world we have been given? What does it mean to transform technology systems in the spirit of justice and equity? How do we engage with diversity and representation without reducing our efforts to simple branding and lip service? To answer these questions and more the Radical AI Podcast welcomes one of our heroes Dr Timnit Gebru to the show. Timnit Gebru is a research scientist at Google on the ethical AI team and a co-founder of Black in AI. Timnit previously did her postdoc at Microsoft Research for the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying any data mining project. She received her PhD from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Full show notes for this episode can be found at Radical AI.

Listen to the episode below:

Relevant links from the episode:

Datasheets for Datasets by Timnit Gebru, Jamie Morgenstern, Briana Vecchione, Jennifer Wortman Vaughan, Hanna Wallach, Hal Daumé III, and Kate Crawford.
Black in AI website.

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

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Anyone can fake a scientific image with AI, tricking even academic journals – and undermining trust in science

  22 Jul 2026
The proliferation of AI-generated science images in public spaces is not simply a misinformation problem.

AAAI presidential panel – AI and scientific integrity

  21 Jul 2026
Watch the next panel discussion in this series from AAAI.

Congratulations to the #ICML2026 award winners

  20 Jul 2026
Find out which articles have won the outstanding paper, outstanding position paper, and the test-of-time awards.

Interactive world simulator for robot policy training and evaluation

  17 Jul 2026
Yixuan Wang discusses his faithful world simulator that allows robots to learn how to push, pick up, and grasp objects.

#ICML2026 social media round-up

  17 Jul 2026
We take a look at what the participants got up to in Seoul.

François Pachet on music generation with AI

  16 Jul 2026
“The day I hear a song of the quality of the Beatles, I will say: ‘Okay, we are done’. And I’ve never heard anything like that. Never.”

AI for science – talk recordings now available to watch

  15 Jul 2026
Watch the invited talks from the day on YouTube.

AAAI presidential panel – factuality and trustworthiness

  14 Jul 2026
Watch the latest panel discussion in the series based on the Future of AI research report from AAAI.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence