ΑΙhub.org
 

The Machine Ethics podcast: New forms of story telling with Guy Gadney


by
04 March 2024



share this:

Left: line drawing of Guy Gadney. Right: logo of Machine Ethics podcast
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.

New forms of story telling with Guy Gadney

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 infringement, the destructive ideology of innovation, an unprecedented redistribution of wealth away from the cultural industries and more…

Listen to the episode here:

Guy Gadney is CEO of Charisma.ai, bringing to life the Future of Storytelling using advanced Artificial Intelligence.

With Charisma, Guy is transforming interactive entertainment through the use of advanced technology, producing projects for Warner Bros, NBCUniversal, Sky, the BBC, Oxford University and many others. He has also recently led the adaptation of John Wyndham’s novel The Kraken Wakes into an immersive narrative game powered by Charisma.

Guy is also on the Board of Oxford’s Story Museum, and a co-founder of The Collaborative AI Consortium, researching the impact of Artificial Intelligence on the Creative Industries.


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.

Join in the conversation by getting in touch via email here or following us on Twitter and Instagram.




The Machine Ethics Podcast

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Image Empire – a new short film from Alan Warburton

  29 May 2026
An animated fairytale about the fusion of the real and the virtual within contemporary AI models.
monthly digest

AIhub monthly digest: May 2026 – AI for science, the lottery ticket hypothesis, and world models

  28 May 2026
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

You probably wouldn’t notice if an AI chatbot slipped ads into its responses

  27 May 2026
Research suggests AI chatbots could easily be used for covert advertising to manipulate their human users.

The Good Robot podcast: the future of data centres and digital sovereignty with Friederike von Franqué

  26 May 2026
Can cloud infrastructure be owned and governed by the people, and not just Big Tech?
coffee corner

AIhub coffee corner: World models

  22 May 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

Why the world’s banks are so worried about Anthropic’s latest AI model

  21 May 2026
The finance world’s concern rests on the impressive cyber capabilities of a product called Mythos.

Embracing empiricism – from the lottery hypothesis to creating real-world impact: an interview with Jonathan Frankle

  20 May 2026
Jonathan Frankle discusses empiricism, making an impact, and the legacy of his lottery ticket hypothesis.

A faster way to estimate AI power consumption

  19 May 2026
The “EnergAIzer” method generates reliable results in seconds, enabling data center operators to efficiently allocate resources and reduce wasted energy.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence