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. 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 E.M. Lewis-Jong is a Founder, Impact Entrepreneur and HCI researcher working at the intersection of community technology, open data, and inclusive AI. They are the Founder and CEO of the Mozilla Data Collective, a community-led platform for ethical creation, curation, and control of AI training datasets; built on the principle that people should be able to share their data on their own terms. They previously served as a VP at Mozilla Foundation, and the Director for Mozilla's Common Voice, an open-source platform enabling communities worldwide to preserve, revitalise, and contribute their languages to the future of speech tech. E.M. holds an MA in Modern History from the University of Oxford and is expecting a PhD in Informatics and Engineering at the University of Sussex, with research focused on controllability in conversational and voice AI for adolescents.

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. This month we speak with Demetrios for the second time about: what ML and MLops are, 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 Demetrios founded the largest community dealing with producitonizing AI and ML models. The MLOps Community is now where tens of thousands of practitioners come to learn from one another. In his free time he can be found building stone stackings in the woods with his daughters. This podcast was created and is run by Ben Byford and collaborators.

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. In this episode we chat with Rebecca for the second time about: why intelligence isn't everything, whether LLM's are even safe, AI governance and guardrails, moral assurance, under-specification problems, lack of interdisciplinary work in robotics, that AI shouldn't be sold as a solution to everything, sidelining of AI ethics, what are the actual benefits of AI, whether AI progress will widen inequality, and more Rebecca Raper is a robotics lecturer and researcher at Cranfield University. She authored the book Raising Robots to be Good: a practical foray into the art and science of Machine Ethics . She designed and leads the UK's first Robotics apprenticeship. This podcast was created and is run by Ben Byford and collaborators.

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. This month, Ben met in-person with Jen Semler. Jen Semler is a Postdoctoral Fellow at Cornell Tech's Digital Life Initiative. Her research focuses on the intersection of ethics, technology, and moral agency. She holds a DPhil (PhD) in philosophy from the University of Oxford.

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. Giulia is a competition lawyer focusing on abuse of dominance actions against Big Tech companies as well as environmental claims. She recently completed her masters in AI Ethics & Society at Cambridge and writes for several journals and academic publications on the interplay between technology, politics, society, and contemporary art. She regularly gives talks on AI ethics, law and regulation and in 2025 was recognised in the "100 Brilliant Women in AI Ethics" list. This podcast was created and is run by Ben Byford and collaborators.

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. Named one of the world's top 100 voices shaping the future of AI, Tim El-Sheikh is a biomedical scientist and ex-pro athlete turned serial deeptech, AI and social entrepreneur since 2001 and is one of the pioneering, first-generation AI founders at London's Silicon Roundabout. Find more from Tim at the CEO Retort . This podcast was created and is run by Ben Byford and collaborators. The podcast, and other content was first created to extend Ben's growing interest in both the AI domain and in the associated ethics.

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. Oliver Bridge is an interdisciplinary researcher and educator specialising in morality studies. During his PhD he focused on the intersection of the philosophy and psychology of education and morality. Since then his research interests have evolved to include Machine Ethics, where he aims to apply lessons learnt from the sociological and psychological studies of morality in the context of AI. He is also interested in Systems Theory as a framework for understanding morality and moral development in psychological, social, and artificial systems.

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. This is a bonus episode looking back over answers to our question: What excites you about AI? This episode features clips from: Sarah Brin, Mark Coeckelbergh, Roger Spitz, Rachel Coldicutt, Pinar Guvenc, Guy Gadney, Nadia Piet, and Lisa Talia Moretti. This podcast was created and is run by Ben Byford and collaborators. The podcast, and other content was first created to extend Ben's growing interest in both the AI domain and in the associated ethics.

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. This episode Adir and I chat about Autonomy.ai Adir Ben-Yehuda is the CEO of AutonomyAI, where he's leading the development of an autonomous GenAI platform that helps companies ship software faster with production-grade code. He previously led go-to-market teams at high-growth startups including OpenWeb as VP of Strategy and Walnut as CRO, helping scale products adopted by global brands. With over a decade of experience, Adir specializes in turning complex tech into scalable, market-friendly solutions.

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. This is a special live panel episode we recorded at the AI Ethics, Risks and Safety Conference 2025 in Bristol, May 2025. This episode was a panel titled: Living with AI: the next five years hosted at the conference. For more information about the AI Ethics, Risks and Safety Conference go to Collective Intelligence's website. Thanks to Karin Rudolph and everyone who helped organise another great event this year.