Machine Ethics Podcast episodes
Discourse on AI Ethics.News, explanation and Interviews with academics, authors, business leaders, creatives and engineers on the subject of autonomous algorithms, artificial intelligence, responsible AI, machine learning, AGI, technology ethics, conciousness, philosophy and…
- Indexed episodes, last 90 days
- 5
- Latest publication
- Sep 28, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 7, 2026
Latest episodes
117. Stories of AI with Simon Bell (opens the original)
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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...
116. Thinking ethically with Lawrence Sheraton (opens the original)
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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...
115. Data Collective with E.M. Lewis-Jong (opens the original)
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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...
114. Future of Education with Dr Jonathan P. Strecker (opens the original)
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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...
113. MLops and HCI with Demetrios Brinkmann (opens the original)
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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...
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