116. Thinking ethically with Lawrence Sheraton

This time we're chatting with Lawrence Sheraton about models of economics, will AGI be ethical? moral capabilities of AI, an elusive obvious, how do we know what is right and wrong, “I feel, therefore I know Ethics”, the conditional / contextual nature of ethics, ethical truth, sycophantic and schizophrenic AI, ethical unlearning and more...

Published on: 15th of September 2026
Podcast authors: Ben Byford and Lawrence Sheraton
Audio duration: 01:08:21
Website plays & downloads: 3 Click to download
Tags: AGI, Ethicists, Morals, Machine ethics
Playlists: Philosophy

Lawrence Sheraton is an author and sculptor who has been on a decades-long quest to answer the question, “How do we know right from wrong?”

His latest Infinite Development – A New Operating System for Civilization, completes the ethics trilogy, which includes: Mr. Neutron and the Ever Sinking Ship (corporate ethics); and Why and Because, The Art and Sciece of Moral and Ethical Understanding (personal ethics).

Infinite Development calls out the global failures of the current economic operating system, and draws a roadmap for the redesign of currency rooted in ethics.

Lawrence is currently applying The Four Intuitions framework to artificial intelligence, with the goal of incorporating it into AI governance models as a foundational layer to maximize ethical outcomes.


No transcript currently available for this episode.

Episode host: Ben Byford

Ben Byford is a AI ethics consultant, code, design and data science teacher, games designer with years of design and coding experience building websites, apps, and games.

In 2015 he began talking on AI ethics and started the Machine Ethics podcast. Since, Ben has talked with academics, developers, doctors, novelists and designers on AI, automation and society. He is available for articles, talks and workshops.

Through Ethical by Design Ben and the team help organisations make better AI decisions leveraging their experience in design, technology, business, data, sociology and philosophy.

Previous episode: Data Collective with E.M. Lewis-Jong