ΑΙhub.org
 

The Good Robot Podcast: Featuring Emily M. Bender and Alex Hanna


by
09 February 2024



share this:
Space scene with words Good Robot Podcast

Hosted by Eleanor Drage and Kerry Mackereth, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology. In this episode, Emily M. Bender and Alex Hanna talk about AI hype.

Emily M. Bender and Alex Hanna on why you shouldn’t believe the AI hype

In this episode, Eleanor and Kerry talk to Emily M. Bender and Alex Hanna, AI ethics legends and co-hosts of the Mystery AI Hype Theatre 3000 podcast, in which they dispel the hype storm around AI. Emily is a professor of linguistics at The University of Washington and the co-author of that stochastic parrots paper. Alex Hanna is the director of research at the Distributed AI Research Institute (DAIR), which is run by Timnit Gebru. In this episode, they argue that we should stop using the term AI altogether, and that the world might be better without text-to-image systems like DALL·E and Midjourney. They tell us how the AI hype agents are getting high on their own supply, and give some advice for young people going into tech careers.

Listen to the episode here:

Professor Emily M. Bender is a Professor in the Department of Linguistics and an Adjunct Professor at the Information School and the Paul G. Allen School of Computer Science and Information at the University of Washington. She is the Faculty Director of the Professional Master’s in Computational Linguistics and the Director of the Computational Linguistics Laboratory. Her research interests include technology for endangered language documentation, computational semantics, and methodologies for supporting consideration of impacts language technology in NLP research, development, and education. She is a member of the Value Sensitive Design Lab, the Tech Policy Lab, and RAISE. Her public scholarship is centred around supporting public understanding of language technology.

Dr Alex Hanna is Director of Research at the Distributed AI Research Institute (DAIR). A sociologist by training, her work centers on the data used in new computational technologies, and the ways in which these data exacerbate racial, gender, and class inequality. She also works in the area of social movements, focusing on the dynamics of anti-racist campus protest in the US and Canada. She holds a BS in Computer Science and Mathematics and a BA in Sociology from Purdue University, and an MS and a PhD in Sociology from the University of Wisconsin-Madison.

Find the episode reading list here.

About The Good Robot Podcast

Dr Eleanor Drage and Dr Kerry Mackereth are Research Associates at the Leverhulme Centre for the Future of Intelligence, where they work on the Mercator-Stiflung funded project on Desirable Digitalisation. Previously, they were Christina Gaw Postdoctoral Researchers in Gender and Technology at the University of Cambridge Centre for Gender Studies. During the COVID-19 pandemic they decided to co-found The Good Robot Podcast to explore the many complex intersections between gender, feminism and technology.




The Good Robot Podcast

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

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.

Information-driven design of imaging systems

  23 Mar 2026
Framework that enables direct evaluation and optimization of imaging systems based on their information content.

Machine learning framework to predict global imperilment status of freshwater fish

  20 Mar 2026
“With our model, decision makers can deploy resources in advance before a species becomes imperiled.”

Interview with AAAI Fellow Yan Liu: machine learning for time series

  19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.

A principled approach for data bias mitigation

  18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.

An AI image generator for non-English speakers

  17 Mar 2026
"Translations lose the nuances of language and culture, because many words lack good English equivalents."

AI and Theory of Mind: an interview with Nitay Alon

  16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
coffee corner

AIhub coffee corner: AI, kids, and the future – “generation AI”

  13 Mar 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence