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




            AIhub is supported by:


Related posts :



The Machine Ethics podcast: AI Ethics, Risks and Safety Conference 2025

Listen to a special episode recorded at the AI Ethics, Risks and Safety Conference.

Interview with Aneesh Komanduri: Causality and generative modeling

  31 Jul 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.
monthly digest

AIhub monthly digest: July 2025 – RoboCup round-up, ICML in Vancouver, and leveraging feedback in human-robot interactions

  30 Jul 2025
Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.

Interview with Yuki Mitsufuji: Text-to-sound generation

  29 Jul 2025
We hear from Sony AI Lead Research Scientist Yuki Mitsufuji to find out more about his latest research.

Open-source Swiss language model to be released this summer

  29 Jul 2025
This summer, EPFL and ETH Zurich will release a large language model (LLM) developed on public infrastructure.

Interview with Kate Candon: Leveraging explicit and implicit feedback in human-robot interactions

  25 Jul 2025
Hear from PhD student Kate about her work on human-robot interactions.

#RoboCup2025: social media round-up part 2

  24 Jul 2025
Find out what participants got up to during the second half of RoboCup2025 in Salvador, Brazil.

Visualising the digital transformation of work

Does it matter that the existing images of AI and digital technologies are so unrealistic?



 

AIhub is supported by:






©2025.05 - Association for the Understanding of Artificial Intelligence


 












©2025.05 - Association for the Understanding of Artificial Intelligence