ΑΙhub.org
 

The Machine Ethics Podcast: AI ethics strategy with Reid Blackman


by
03 August 2022



share this:

Reid Blackman
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.

AI ethics strategy

In this episode we talk with Reid Blackman about: learning, what it means to be worthy of trust, bullsh*t AI principles, company values, purpose and use in decision making, his AI ethics risk strategy book, machine ethics as a fools errand, weighing metrics for measuring bias, ethics committees, police and the IRB, and much more…

Listen to the episode here:

Reid Blackman, PhD, is the author of Ethical Machines: Your Concise Guide to Totally Unbiased, Transparent, and Respectful AI (Harvard Business Review Press), Founder and CEO of Virtue, an AI ethical risk consultancy, and he volunteers as the Chief Ethics Officer for the non-profit Government Blockchain Association. He has also been a Senior Advisor to the Deloitte AI Institute, a Founding Member of Ernst & Young’s AI Advisory Board, and sits on the advisory boards of several start-ups. His work has been profiled in The Wall Street Journal and Forbes and he has presented his work to dozens of organizations including Citibank, the FBI, the World Economic Forum, and AWS. Reid’s expertise is relied upon by Fortune 500 companies to educate and train their people and to guide them as they create and scale AI ethical risk programs.


About The Machine Ethics podcast

This podcast was created, and is run by, Ben Byford and collaborators. 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.

The goal is to promote debate concerning technology and society, and to foster the production of technology (and in particular: decision making algorithms) that promote human ideals.

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 then, Ben has talked with academics, developers, doctors, novelists and designers about AI, automation and society.

Join in the conversation with us 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: Companion AI with Giulia Trojano

Ben chats to Giulia Trojano about AI as an economic narrative, companion chatbots, deskilling of digital literacy, chatbot parental controls, differences between social AI and general AI services and more.

What are small language models and how do they differ from large ones?

  06 Jan 2026
Let’s explore what makes SLMs and LLMs different – and how to choose the right one for your situation.

Forthcoming machine learning and AI seminars: January 2026 edition

  05 Jan 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 5 January and 28 February 2026.

AAAI presidential panel – AI perception versus reality video discussion

  02 Jan 2026
Watch the second panel discussion in this series from AAAI.

More than half of new articles on the internet are being written by AI

  31 Dec 2025
The line between human and machine authorship is blurring, particularly as it’s become increasingly difficult to tell whether something was written by a person or AI.
monthly digest

2025 digest of digests

  30 Dec 2025
We look back through the archives of our monthly digests to pick out some highlights from the year.
monthly digest

AIhub monthly digest: December 2025 – studying bias in AI-based recruitment tools, an image dataset for ethical AI benchmarking, and end of year com

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



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence