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 month we speak with Demetrios for the second time about: what is ML and MLops, narrow Machine Learning being still relevant, vibe coding, working with agents, talking to your computer, unknown productivity gains of LLMs, the chat interface as a bad interface for all knowledge, AIs that know when they’re wrong, the lack of ground truth, and more...
Published on: 7th of July 2026
In this episode we chat with Rebecca for the second time about: intelligence isn’t everything, are LLM’s even safe? AI governance and guardrails, moral assurance, under-specification problems, lack of interdisciplinary work in robotics, AI shouldn’t be sold as a solution to everything, sidelining of AI Ethics, what are the actual benefits of AI? will AI progress widen inequality? and more...
This month we're chatting with Dietmar Fischer about what we will mean by saying "AI" in the future? AI in science fiction, the fact that AI’s don’t want for anything, jobs and the political effects of unemployment, post-work society and defining what a good life is, the Chinese AI legislation, protecting young people from AI anthropomorphising, AI literacy, the AI bubble, Human extinction, and more
This month we're chatting with Dr. Ewelina Kurtys on the uses of organoids and energy saving computing, the unknowns in neural science, differences between biological neurons and digital neural networks, how neurons operate and encoding information, the impractical nature of recreating brain structures, the tendency to anthropomorphise, determinism and more...
Published on: 31st of March 2026
