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.
DeepDive: AI and the environment
This is a special live panel episode we recorded at the AI Ethics, Risks and Safety Conference 2025 in Bristol, May 2025. We chat about what AI is, predictions for the next five years (good and bad), the incoming wave of fraud, AI education and AI in education, copyright in the age of LLMs, the uncertainty of AI regulation, responsible AI in organisation, sovereign AI capabilities, the question of whether we are being experimented on, elderly AI, AI’s impact on the creative industries, and more…
Listen to the episode here:
This episode was a panel titled: Living with AI: the next five years hosted at the conference.
Host
- Ben Byford
Panellists
- Dr Simon Fothergill, Lead AI Engineer, Lucent AIProfessor Lucy Mason, Director, Capgemini Invent
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.
About The Machine Ethics podcast
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. Over the last few years the podcast has grown into a place of discussion and dissemination of important ideas, not only in AI but in tech ethics generally. As the interviews unfold on they often veer into current affairs, the future of work, environmental issues, and more. Though the core is still AI and AI Ethics, we release content that is broader and therefore hopefully more useful to the general public and practitioners.
The hope for the podcast is for it to promote debate concerning technology and society, and to foster the production of technology (and in particular, decision making algorithms) that promote human ideals.
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