ΑΙhub.org
 

The Good Robot podcast: Machine vision with Jill Walker Rettberg


by
17 December 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. In this episode, Jill Walker Rettberg talks about machine vision.

Machine vision with Jill Walker Rettberg

In this episode, we talked to Jill Walker Rettberg, Professor of Digital Culture at the University of Bergen in Norway. In this wide-ranging conversation, we talk about machine vision’s origins in polished volcanic glass, whether or not we’ll actually have self-driving cars, and that famous photo-shopped Mother’s Day photo released by Kate Middleton in March, 2024.

Listen to the episode here:

Jill Walker Rettberg is Professor of Digital Culture and Co-Director of the Center for Digital Narrative (CDN), a Norwegian Center of Research Excellence that has received a €15 million grant from the Norwegian Research Council (2023-2033). She is also Principal Investigator of the ERC project Machine Vision in Everyday Life: Playful Interactions with Visual Technologies in Digital Art, Games, Narratives and Social Media (2018-2024), and of the ERC Advanced grant project AI Stories: Narrative Archetypes for Artificial Intelligence (2024-2029).

You can find the episode reading list and transcript here.

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




            AIhub is supported by:



Related posts :



Memory traces in reinforcement learning

  12 Sep 2025
Onno writes about work presented at ICML 2025, introducing an alternative memory framework.

Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.

Interview with Yezi Liu: Trustworthy and efficient machine learning

  10 Sep 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.

Advanced AI models are not always better than simple ones

  09 Sep 2025
Researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.

The Machine Ethics podcast: Autonomy AI with Adir Ben-Yehuda

This episode Adir and Ben chat about AI automation for frontend web development, where human-machine interface could be going, allowing an LLM to optimism itself, job displacement, vibe coding and more.

Using generative AI, researchers design compounds that can kill drug-resistant bacteria

  05 Sep 2025
The team used two different AI approaches to design novel antibiotics, including one that showed promise against MRSA.

#IJCAI2025 distinguished paper: Combining MORL with restraining bolts to learn normative behaviour

and   04 Sep 2025
The authors introduce a framework for guiding reinforcement learning agents to comply with social, legal, and ethical norms.

How the internet and its bots are sabotaging scientific research

  03 Sep 2025
What most people have failed to fully realise is that internet research has brought along risks of data corruption or impersonation.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence