ΑΙhub.org
 

The Machine Ethics Podcast: What is AI?


by
24 June 2021



share this:

What is AI? Machine ethics podcast
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.

What is AI? 2

This episode is our second bonus compilation of answers from previous years of interviews asking the question: What is AI? We hear from past interviewees Jess Smith, Rishal Hurbans, Jacob Turner, Cennydd Bowles, Joanna J Bryson, Damien Williams, Olivia Gamelin, David Gunkel, Bertram Malle, David Yakobovitch, Luciano Floridi and Lydia Nicholas.

Listen to the episode here:


What is AI? 1

You can also listen to the first compilation of answers, featuring Cosima Gretton, Matthew Channon, Rob Wortham, Michael Ludden, Greg Edwards, Luciano Floridi, Christopher Noessel, Andy Budd, Damien Williams and Miranda Mowbray.


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 :



Learning from failure to tackle extremely hard problems

  12 Nov 2025
This blog post is based on the work "BaNEL: Exploration posteriors for generative modeling using only negative rewards".

How AI can improve storm surge forecasts to help save lives

  10 Nov 2025
Looking at how AI models can help provide more detailed forecasts more quickly.

Rewarding explainability in drug repurposing with knowledge graphs

and   07 Nov 2025
A RL approach that not only predicts which drug-disease pairs might hold promise but also explains why.

AI Song Contest – vote for your favourite

  06 Nov 2025
Voting is open until 9 November.

Forthcoming machine learning and AI seminars: November 2025 edition

  03 Nov 2025
A list of free-to-attend AI-related seminars that are scheduled to take place between 3 November and 31 December 2025.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence