ΑΙhub.org
 

The Good Robot Podcast: Melissa Heikkilä on why the stories we tell about AI matter


by
31 January 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, Melissa Heikkilä talks about reporting on AI.

Melissa Heikkilä on why the stories we tell about AI matter

This week we chat to Melissa Heikkilä about ChatGPT, image generation, porn, and the stories we tell about AI. Melissa is a senior reporter at MIT Technology Review, where she covers artificial intelligence and how it is changing our society. Previously, she wrote about AI policy and politics at POLITICO. She has also worked at The Economist and used to be a news anchor. Forbes named her as one of its 30 under 30 in European media in 2020.

Find Melissa’s articles here.

Listen to the episode 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:



Related posts :



Better images of AI on book covers

  25 Nov 2025
We share insights from Chrissi Nerantzi on the decisions behind the cover of the open-sourced book ‘Learning with AI’, and reflect on the significance of book covers.

What is AI poisoning? A computer scientist explains

  24 Nov 2025
Poisoning is a growing problem in the world of AI – in particular, for large language models.

New AI technique sounding out audio deepfakes

  21 Nov 2025
Researchers discover a smarter way to detect audio deepfakes that is more accurate and adaptable to keep pace with evolving threats.

Learning robust controllers that work across many partially observable environments

  20 Nov 2025
Exploring designing controllers that perform reliably even when the environment may not be precisely known.

ACM SIGAI Autonomous Agents Award 2026 open for nominations

  19 Nov 2025
Nominations are solicited for the 2026 ACM SIGAI Autonomous Agents Research Award.

Interview with Mario Mirabile: trust in multi-agent systems

  18 Nov 2025
We meet ECAI Doctoral Consortium participant, Mario, to find out more about his research.

Review of “Exploring metaphors of AI: visualisations, narratives and perception”

and   17 Nov 2025
A curated research session at the Hype Studies Conference, “(Don’t) Believe the Hype?!” 10-12 September 2025, Barcelona.

Designing value-aligned autonomous vehicles: from moral dilemmas to conflict-sensitive design

  13 Nov 2025
Autonomous systems increasingly face value-laden choices. This blog post introduces the idea of designing “conflict-sensitive” autonomous traffic agents that explicitly recognise, reason about, and act upon competing ethical, legal, and social values.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence