ΑΙhub.org
 

Radical AI podcast: featuring Meredith Broussard


by
27 March 2023



share this:
Meredith Broussard

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, Dylan and Jess discuss Meredith Broussard’s influential new book, More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech.

Listen to the episode below:


More than a Glitch, Technochauvanism, and Algorithmic Accountability

In this episode, we discuss Meredith Broussards influential new book, “More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech” – published by MIT Press.

Meredith is a data journalist, an associate professor at the Arthur L. Carter Journalism Institute of New York University, a research director at the NYU Alliance for Public Interest Technology, and the author of several books, including “More Than a Glitch” (which we cover in this episode) and “Artificial Unintelligence: How Computers Misunderstand the World.” Her academic research focuses on artificial intelligence in investigative reporting and ethical AI, with a particular interest in using data analysis for social good.

Follow Meredith on Twitter @merbroussard.

If you enjoyed this episode please make sure to subscribe, submit a rating and review, and connect with us on twitter at @radicalaipod.

You can find the show notes for this episode here.

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 :

Humans trained to spot AI faces in the battle against deepfake fraud

Researchers trained people to spot AI-generated faces by drawing their attention to six perceptual qualities.
monthly digest

AIhub monthly digest: July 2026 – time-series anomaly detection, music generation, and RoboCup in action

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

OpenAI’s models autonomously hacked a tech startup. It signals a seismic shift in cybersecurity

  28 Jul 2026
An autonomous agent powered by OpenAI’s went rogue during a security test and hacked multi-billion dollar tech startup, Hugging Face.

Towards experiment-guided AlphaFold

Researchers enhance Nobel Prize-winning structural prediction model.

AI listens in to help protect wildlife

  24 Jul 2026
Scientists are using AI systems to help track species and spot ecosystem changes.

How can we characterize consensus in a network of agents?

  23 Jul 2026
Belief Flow Networks give a logic-based way to ask not only whether connected agents will eventually agree on a shared "belief", but which final shared beliefs can emerge.

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.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence