Machine Ethics Podcast

This is our 100th episode! A super special look at AI and the Environment, we interviewed 4 experts for this DeepDive episode. We chatted about water stress, the energy usage of AI systems and data centres, using AI for fossil fuel discovery, the geo-political nature of AI, GenAI vs other ML alogrithms for energy use, demanding transparency on energy usage for training and operating AI, more AI regulation for carbon consumption, things we can change today like picking renewable hosting solutions, publishing your data, when doing "responsible AI" you must include the environment, considering who are the controllers of the technology and what do they want, and more...

This episode we're chat with Pinar Guvenc on “What's Wrong With” podcast, co-design, is AI ready for society and is society ready for AI? What is design? co-creation with AI as a stakeholder, bias in design, small language models, is AI making us lazy? human experience, digital life and our attention, and talking to diverse people...

This episode we're chatting with Rachel about AI taxonomy, innovating for everyone not just the few, Rachel's chronic honesty, responsibilities of researchers, socially responsible technology, ethics work as free labour, the right to repair, tinker, improve...

This episode we're chatting with Enrico Panai about the elements of the digital revolution, AI transforms data into information. HCI, the importance of knowing the tech as a tech philosopher, that ethicists should diagnose not judge, quality and making pasta, whether ethics is really a burden for companies or if you can run faster with ethics, don’t steal peoples life, and finding a Marx for the digital world.

For our 2024 round up episode we're again chatting with Karin Rudolph about the AI Ethics Risk and Safety Conference, the EU AI Act, agent based AI and Advertising! AI search and access to information, conflicting goals of many AI agents, weaponising disinformation, freedoms of speech, the LLM plateau, shadow AI, and more...

For Olivia's 3rd time on the show we're chatting about Olivia's book on Responsible AI, scalable AI strategy, AI ethics and RAI, bad innovation, values for RAI, risk and innovation mindsets, who owns the RAI strategy? why to work with an external consultant? agentic AI, predictions fo the next two years, and more...

In this episode we're chatting to Caitlin about gender and AI, technology isn’t neutral, using technology for good, diversity creation and exploitation, lived experience expertise, co-creating technologies and AI life cycle, importance of success metrics, international treaties on AI and more...

In this episode we're chatting to Lisa about: Data and AI literacy, data sharing, data governance and data wallets, design values, selling in ethics to organisations, contractual agreements and ethical frameworks, AI unlearning, what organisations needs to know about ethics, and an AI ethics consultant directory...

In this special filmed podcast swap episode I'm chatting with Alex Tsakiris about: should you learn to code to be in AI? stockfish chess AI, AI truth and What is Truth? Deductive and inductive learning, everything is statistics, statistical ethics, free will and conciousness, ESP, red teaming LLMs, Shadowbanning, and much more...

This is a bonus episode we're looking back over answers to our question: What scares you about AI?

This time we're chatting with Wendell Wallach on moral machines and Machine Ethics, AGI sceptics, the usefulness of the term of artificial intelligence, a new ethic or ethos for human society, ethics as decisions fast and slow, trade-off ethics, the AI oligopoly, the good and bad of capitalism, conciousness, global workspace theory and more...

In this special eddition episode we hear vox-pops recorded at the AI Ethics, Risks and Safety Conference in Bristol on the 15th of May 2024. We hear about AI regulations, AI Standards, AI Ethics frameworks, principles, ethics guiding research, awareness of the ethics of AI, and explainable AI.

This episode we're chatting with Alex Shvartsman about what is our AI future, human crafted storytelling, the Generative AI use backlash, disclaimers for generated text, human vs AI authorship, practical or functional goals of LLMs, changing themes in science fiction, a diversity of international perspectives and more...

This episode we're chatting with Eleanor and Kerry on what is good technology and is it even possible? Technology is political, watering down regulation, the magic of AI, the value of human creativity, how Feminism, Aboriginal, mixed race studies can help AI development? The performative nature tech and more...

This is a bonus episode looking back over answers to our question: What is AI?

This episode we're chatting with Guy Gadney on new forms of story telling, placing people inside a story, natural language in games, LLM hype, data used in LLMs, copyright infringment, the destructive ideology of innovation, an unprecedented redistribution of wealth away from the cultural industries and more...

For our in-person episode on 2023 with Karin Rudolph we chat about Algorithms of oppression, the Future of Life Institute letter, existential risk of AI, TESCREAL, Geoffrey Hinton’s resignation from Google, the AI Safety Summit, EU AI act and legislating AI, neural rights and more...

This episode we're chatting with Adam Braus about natural stupidity, natural intelligence, misericordianism and avoidable misery, the drowning child thought experiment, natural state of morality, Donald Trump bot, Asimov’s rules, human instincts, the positive outcomes of AI and more...

This episode we're chatting with Harriet Pellereau about AI’s lack of reasoning ability, uses of generative AI, creativity and AI, what even is creativity? creative duties, new ways of working / digital working, 4 day week global, work life balance, the hidden cost of convenience, responsible tech and more...

This time I'm chatting to alice about teaching ethics, the idea of information environments, the importance of democracy, the Ethics hype train and the ethics community, people to follow in AI and Data Ethics, ethics as innovation and more...