44. Moral Machines with Rebecca Raper

This month we go back to our roots with an episode about Machine Ethics with Rebecca Raper. We chat about Moral machines and why make them, morals as constraints, moral capacity and approaches to machine ethics, machine moral ontologies, legislation vs innovation and more...
Date: 4th of August 2020
Podcast authors: Ben Byford with Rebecca Raper
Audio duration: 53:03
Website plays & downloads: 68 Click to download
Tags: Academic, Machine ethics, Morals, Face tracking, Reasoning, Philosophy

Rebecca is a PhD candidate in Machine Ethics, and consultant in Ethical AI at Oxford Brookes University, Institute for Ethical Artificial Intelligence. Her PhD research is entitled 'Autonomous Moral Artificial Intelligence', and as a consultant she specialises in looking at developing practical approaches to embedding ethics in AI Products.

Her background is primarily philosophy. She completed her BA, then MA in philosophy at The University of Nottingham in 2010, before working in analytics for several different industries. As an undergraduate she had a keen interest in logic, metametaphysics, and the topic of consciousness, spurring her to come back into academia in 2017 to undertake a further qualification in psychology at Sheffield Hallam University, before embarking on her PhD.

She hopes she can combine her diverse interests to solving the challenge of creating moral machines.

In her spare time she can be found playing computer games, running, or trying to explore the world.

No transcript currently available for this episode.

Episode host: Ben Byford

Ben Byford is a AI ethics consultant, code, design and data science teacher, freelance games designer with over 10 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.

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.