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

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

monthly digest

AIhub monthly digest: October 2026 – neurosymbolic planning, time-series forecasting, and robots for the home

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

From teaching machines to teaching people: an interview with Michael Littman

  29 Oct 2026
AI Pioneer Michael Littman reflects on the evolution of reinforcement learning, the power of science communication, and how generative AI is changing the way we teach and learn.

From lab to life: Why translating AI advances to the real world is a major challenge

  28 Oct 2026
Systems that perform well in controlled lab settings often fall short when deployed in homes, in hospitals or on city streets.

Researchers get AI ‘drunk’ to expose new cyber security risks in chatbots

Fine-tuning large language models using drunken text makes them more likely to leak secrets and answer harmful questions.

AI is creating jobs as well as erasing them – but how rewarding are they?

  26 Oct 2026
One area of increased employment is in people “cleaning up” after LLMs, or quality controlling them.

How AI changes human decision-making

  23 Oct 2026
AI can identify patterns that people miss and bring new information into decision-making. However, this does not automatically lead to better decisions.

Competing in RoboCup@Home and winning the 2026 best paper award: an interview with Raphael Memmesheimer

  22 Oct 2026
Hear more about Raphael's research and his involvement in the RoboCup@Home league.

AI is distorting archaeology and flattening Indigenous Knowledge

While AI can help archaeologists, it can also spread pseudoscientific claims and false histories, stripping Indigenous Knowledge of context, consent and community control.


↑


AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence