ΑΙhub.org
 

The Good Robot Podcast: Featuring Maurice Chiodo


by
16 July 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, Maurice Chiodo talks about ethical maths.

What on Earth is ethical maths? With Maurice Chiodo

We often think that maths is neutral or can’t be harmful, because after all, what could numbers do to hurt us? In this episode, we talk to Dr Maurice Chiodo, a mathematician at the University of Cambridge, who’s now based at the Centre for Existential Risk. He tells us why maths can actually throw out big ethical issues. Take the atomic bomb or the maths used by Cambridge Analytica to influence the Brexit referendum or the US elections. Together, we explore why it’s crucial that we understand the role that maths plays in unethical AI.

Listen to the episode here:

Maurice Chiodo addresses the ethical challenges and risks posed by mathematics, mathematicians, and mathematically-powered technologies. His research looks at the ethical issues arising in all types of mathematical work, including AI, finance, modelling, surveillance, and statistics. He set up the Ethics in Mathematics Project in 2016 and has been its principal investigator since then, delivering seminar series, giving invited talks, and producing scholarly articles in the area. Maurice has direct industry experience with over 30 startups, having been a member of the Ethics Advisory Group at Machine Intelligence Garage UK for over two years. He comes from a background in research mathematics, holding two PhDs in mathematics, from the University of Cambridge and the University of Melbourne, and has over a decade of experience working as an academic mathematician on problems in algebra and computability theory.

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 :

AI is coming to Olympic judging: what makes it a game changer?

  09 Feb 2026
Research suggests that trust, legitimacy, and cultural values may matter just as much as technical accuracy.

Sven Koenig wins the 2026 ACM/SIGAI Autonomous Agents Research Award

  06 Feb 2026
Sven honoured for his work on AI planning and search.

Congratulations to the #AAAI2026 award winners

  05 Feb 2026
Find out who has won the prestigious 2026 awards for their contributions to the field.

Forthcoming machine learning and AI seminars: February 2026 edition

  04 Feb 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 4 February and 31 March 2026.

#AAAI2026 social media round up: part 2

  03 Feb 2026
Catch up on the action from the second half of the conference.

Interview with Zijian Zhao: Labor management in transportation gig systems through reinforcement learning

  02 Feb 2026
In the second of our interviews with the 2026 AAAI Doctoral Consortium cohort, we hear from Zijian Zhao.
monthly digest

AIhub monthly digest: January 2026 – moderating guardrails, humanoid soccer, and attending AAAI

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

The Machine Ethics podcast: 2025 wrap up with Lisa Talia Moretti & Ben Byford

Lisa and Ben chat about the prevalence of AI slop, the end of social media, Grok and explicit content generation, giving legislation more teeth, anthropomorphising reasoning models, and more.


AIhub is supported by:







 













©2026.01 - Association for the Understanding of Artificial Intelligence