ΑΙhub.org
 

The Good Robot Hot Take: does AI know how you feel?


by
21 October 2024



share this:
Space scene with words Good Robot Podcast

Hosted by Eleanor Drage and Kerry McInerney, The Good Robot is a podcast which explores the many complex intersections between gender, feminism and technology.

The Good Robot Hot Take: does AI know how you feel?

In this episode, we chat about coming back from summer break, and discuss a research paper recently published by Kerry and the AI ethicist and researcher Os Keyes called The Infopolitics of Feeling: How race and disability are configured in Emotion Recognition Technology. We discuss why AI tools that promise to be able to read our emotions from our faces are scientifically and politically suspect. We then explore the ableist foundations of what used to be the most famous Emotion AI firm in the world: Affectiva. Kerry also explains how the Stop Asian Hate and Black Lives Matters protests of 2020 inspired this research project, and why she thinks that emotion recognition technologies have no place in our societies.

Listen to the episode here:

For the reading list and transcript for this episode, visit The Good Robot website.

This episode is also available to watch on YouTube:

About The Good Robot Podcast

Dr Eleanor Drage and Dr Kerry McInerney 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

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

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.

The secret to human ‘brilliance’ that AI just can’t match

  13 Jul 2026
New research reveals how people learn social conventions with minimal data – and why that sets us apart from LLMs.

Pre-training isn’t bitter enough

  10 Jul 2026
Given an unlabeled data stream, and a small set of verifiable downstream examples, can we use those examples during continued pre-training?

Interview with Thi Kieu Khanh Ho: Time-series anomaly detection

  09 Jul 2026
How can we teach AI systems to recognize when something unusual or abnormal is happening in complex, real-world data streams, without relying on large amounts of labeled examples?



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence