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 :



Discrete flow matching framework for graph generation

and   17 Sep 2025
Read about work presented at ICML 2025 that disentangles sampling from training.

We risk a deluge of AI-written ‘science’ pushing corporate interests – here’s what to do about it

  16 Sep 2025
A single individual using AI can produce multiple papers that appear valid in a matter of hours.

Deploying agentic AI: what worked, what broke, and what we learned

  15 Sep 2025
AI scientist and researcher Francis Osei investigates what happens when Agentic AI systems are used in real projects, where trust and reproducibility are not optional.

Memory traces in reinforcement learning

  12 Sep 2025
Onno writes about work presented at ICML 2025, introducing an alternative memory framework.

Apertus: a fully open, transparent, multilingual language model

  11 Sep 2025
EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released Apertus today, Switzerland’s first large-scale, open, multilingual language model.

Interview with Yezi Liu: Trustworthy and efficient machine learning

  10 Sep 2025
Read the latest interview in our series featuring the AAAI/SIGAI Doctoral Consortium participants.

Advanced AI models are not always better than simple ones

  09 Sep 2025
Researchers have developed Systema, a new tool to evaluate how well AI models work when predicting the effects of genetic perturbations.

The Machine Ethics podcast: Autonomy AI with Adir Ben-Yehuda

This episode Adir and Ben chat about AI automation for frontend web development, where human-machine interface could be going, allowing an LLM to optimism itself, job displacement, vibe coding and more.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence