DiscoverMachine Ethics Podcast episodes
Machine Ethics Podcast episodes

Machine Ethics Podcast episodes

Author: Ben Byford and friends

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Discourse on AI Ethics.

News, explanation and Interviews with academics, authors, business leaders, creatives and engineers on the subject of autonomous algorithms, artificial intelligence, machine learning, technology ethics and more.
92 Episodes
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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 edition 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...
86. What is AI? Vol.3

86. What is AI? Vol.3

2024-03-1914:47

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 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...
This time we're chatting with Sarah Brin about types of AI, the process of making artwork, how is an artwork culturally valuable, curatorial practise for AI art, unionising creative art workers, collaborative artwork with AI, using AI to help the climate emergency, AI in games and more...
This time we chat with Roger Spitz about how to think about the future, what does a futurist do? Thriving with disruption, a chief existential officer, virtuous inflection points, delegating too much authority / decision making, our inappropriate education system
This episode Nadia and I chat about how design can co-create AI, what the role of designers are in AI services? post-deployment design, narratives in AI development and AI ideologues, anthropocentric AI, augmented creativity, new AI perspectives, situated intelligences and more...
This episode Marc Steen and I chat about: AI as tools, the ethics of business models, writing Ethics for People Who Work in Tech, the process of ethics - “doing ethics” and his three step process, misconceptions of ethics as compliance or a road block, evaluating ethical theories, universal rights, types of knowledges, what is the world we’re creating with AI?
This episode we're talking with Dr Marie Oldfield on definitions of AI, the education and communication gaps with AI, explainable models, ethics in education, problems with audits and legislation, AI accreditation, importance of interdisciplinary teams, when to use AI or not, and harms from algorithms.
This episode we talk with Josh Gellers about nature rights, rights for robots, non-human and human rights, justification for the attribution of rights, the sphere of moral importance, perspectives on legal and moral concepts, shaping better policy, the Lamda/Lemoine controversy, predicates of legal personhood, the heated discourse on robot rights, science fiction as a moral playground and more...
In this special edition episode with Data Science Festival we're hosting a panel discussing: what is ethics? Designing for Responsible AI, ethics as innovation and competitive advantage, ghost work, fairer AI, language as a human computer interface, cleaning up the web, technologies that shouldn’t be deployed and much more...
For this end of year episode I'm joined by Olivia Gamblinn to discuss: ethics boards, generative images models and copywrite, concept art, model bias and representation in the generative models, paying artists to appear in training sets, plagerism, chatGPT and when it breaks down, factual “truth” in text models, expectations for AI and digital technologies generally, limitations of AGI, inner life and the Chinese room, consciousness, robot rights, animal rights and getting into AI Ethics...
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