The Machine Ethics Podcast

Interrogating technology, artificial intelligence and autonomy.

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 Twitter and Instagram.

Find us on iTunes, Spotify, Google podcasts, Stitcher and TuneIn or support us by donating to the show on Patreon. The machine ethics podcast is made by www.ethicalby.design

54. The business of AI ethics with Josie Young

This episode we're chatting with the amazing Josie Young on making businesses more efficient, how the AI ethics landscape changed over the last 5 years, ethics roles and collaborations, feminist AI and chatbots, responsible AI at Microsoft, ethics push back from teams and selling in AI ethics, disinformation’s risk to democracy and more...

53. Comedy and AI with Anthony Jeannot

A laid back episode of the podcast where Anthony and I chat about Netflix and recommender systems, finding comedy in AI, AI written movies and theatre, human content moderation, bringing an AI Ben back from the dead, constructing jokes recursively and much more...

52. Algorithmic discrimination with Damien Williams

This episode we chat with Damien Williams about types of human and algorithmic discrimination, human-technology expectations and norms, algorithms and benefit services, the contextual nature of sample data, is face recognition even a good idea? Should we be scared that GTP-3 will take our jobs and the cultural value of jobs, encoding values into autonomous beings, culture and mothering AI, AI and dogma, and more...

51. AGI Safety and Alignment with Robert Miles

This episode we're chatting with Robert Miles about why we even want artificial general intelligence, general AI as narrow AI where its input is the world, when predictions of AI sound like science fiction, covering terms like: AI safety, the control problem, Ai alignment, specification problem; the lack of people working in AI alignment, AGI doesn’t need to be conscious, and more
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