Machine Ethics Podcast
Conversations on AI Ethics:
Interrogating technology, artificial intelligence and society.
This 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. Join in the conversation with us by getting in touch via email here or following us on BlueSky and Instagram.
Listen to episodes here or subscribe on your favourite podcast app - e.g. iTunes, Spotify, Youtube and TuneIn. You can also support us by donating to the show on Patreon or ask a questions here.
The machine ethics podcast is made by Ben Byford & ethicalby.design. And.. it has now being running for over 10 years! Yep I know.
This time we're chatting with David Gerard about crypto bros, bubble economics and recessions, AI services pricing, who is making all the money, surveillance uses of AI, uses for empty datacenters, the RAM racket, AI as the platform for life, the cult of AI and effective altruism, AI doomers, anthropomorphising AI and more...
Published on: 20th of October 2026
This episode we're chatting with Simon Bell about the future of the internet, science fiction, GenAI as research assistant, enshitification, stories of AI fear, emergence, writing the monster AI into being, meditation and more...
Published on: 28th of September 2026
This time we're chatting with Lawrence Sheraton about models of economics, will AGI be ethical? moral capabilities of AI, an elusive obvious, how do we know what is right and wrong, “I feel, therefore I know Ethics”, the conditional / contextual nature of ethics, ethical truth, sycophantic and schizophrenic AI, ethical unlearning and more...
Published on: 15th of September 2026
This time we're chatting with E.M. about the promise of AI and making human connection easier, speech recognition and supporting linguistic diversity, making useful technologies that have a purpose, Mozilla data collective, under represented cultures in datasets, accidental monocultures with technology, negative uses of datasets, AI literacy, the instability of LLMs and more...
Published on: 25th of August 2026
