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 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
This time we're chatting with Jonathan Strecker on the kinds of intelligences, why AI shouldn’t replace learning wholesale, six levels of wisdom, AI hallucinations and lack of trust, AI use in academia, skills atrophy, the anxious generation, dumbing down the masses, rethinking education and more...
Published on: 24th of July 2026 Filmed
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...
