ΑΙhub.org
 

The Machine Ethics podcast: AI regulation with Lofred Madzou


by
20 August 2021



share this:

Lofred Madzou
Hosted by Ben Byford, The Machine Ethics Podcast brings together interviews with academics, authors, business leaders, designers and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, and technology’s impact on society.

AI regulation

We chat with Lofred Madzou about AI as a journey to understand ourselves through smart machines, scepticism about wholesale job loss, understanding that “you are not your data”, dissecting the European proposal for AI regulation, examples of types of AI activities under regulation, the spirit of the regulation – human rights-centric, risk-based approaches, infringement exposition and compliance…

Listen to the episode here:

Lofred Madzou is a Project Lead for AI at the World Economic Forum, where he oversees global and multistakeholder AI policy projects. He is also a research associate at the Oxford Internet Institute where he investigates various methods to audit AI systems.

Before joining the Forum, he was a policy officer at the French Digital Council, where he advised the French Government on technology policy. Most notably, he has co-written chapter five of the French AI National Strategy, entitled “What Ethics for AI?”. He has a MSc in Data Science and Philosophy from the University of Oxford.


About The Machine Ethics podcast

This podcast was created, and is run by, Ben Byford and collaborators. Over the last few years the podcast has grown into a place of discussion and dissemination of important ideas, not only in AI but in tech ethics generally.

The goal is to promote debate concerning technology and society, and to foster the production of technology (and in particular: decision making algorithms) that promote human ideals.

Ben Byford is a AI ethics consultant, code, design and data science teacher, freelance games designer with over 10 years of design and coding experience building websites, apps, and games. In 2015 he began talking on AI ethics and started the Machine Ethics podcast. Since then, Ben has talked with academics, developers, doctors, novelists and designers about AI, automation and society.

Join in the conversation with us by getting in touch via email here or following us on Twitter and Instagram.




The Machine Ethics Podcast




            AIhub is supported by:



Related posts :



The Machine Ethics podcast: Fostering morality with Dr Oliver Bridge

Talking machine ethics, superintelligence, virtue ethics, AI alignment, fostering morality in humans and AI, and more.

Interview with Frida Hartman: Studying bias in AI-based recruitment tools

  02 Dec 2025
In the next in our series of interviews with ECAI2025 Doctoral Consortium participants, we caught up with Frida, a PhD student at the University of Helsinki.

Forthcoming machine learning and AI seminars: December 2025 edition

  01 Dec 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 1 December 2025 and 31 January 2026.
monthly digest

AIhub monthly digest: November 2025 – learning robust controllers, trust in multi-agent systems, and a new fairness evaluation dataset

  28 Nov 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

EU proposal to delay parts of its AI Act signal a policy shift that prioritises big tech over fairness

  27 Nov 2025
The EC has proposed delaying parts of the act until 2027 following intense pressure from tech companies and the Trump administration.

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.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence