ΑΙhub.org
 

The Machine Ethics podcast: Responsible AI strategy with Olivia Gambelin


by
07 January 2025



share this:

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.

Responsible AI strategy with Olivia Gambelin

We chat about Olivia’s book on responsible AI, scalable AI strategy, AI ethics and responsible AI (RAI), bad innovation, values for RAI, risk and innovation mindsets, who owns the RAI strategy, why one would work with an external consultant, agentic AI, predictions for the next two years, and more…

Listen to the episode here:


One of the first movers in Responsible AI, Olivia Gambelin is a world-renowned expert in AI Ethics and product innovation whose experience in utilising ethics-by-design has empowered hundreds of business leaders to achieve their desired impact on the cutting edge of AI development. Olivia works directly with product teams to drive AI innovation through human value alignment, as well as executive teams on the operational and strategic development of responsible AI.

As the founder of Ethical Intelligence, the world’s largest network of Responsible AI practitioners, Olivia offers unparalleled insight into how leaders can embrace the strength of human values to drive holistic business success. She is the author of the book Responsible AI: Implement an Ethical Approach in Your Organization with Kogan Page Publishing, the creator of The Values Canvas, which can be found at www.thevaluescanvas.com, and co-founder of Women Shaping the Future of Responsible AI (WSFR.AI).


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 :



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.

Half of UK novelists believe AI is likely to replace their work entirely

  24 Dec 2025
A new report asks literary creatives about their views on generative AI tools and LLM-authored books.

RL without TD learning

  23 Dec 2025
This post introduces a reinforcement learning algorithm based on a divide and conquer paradigm.

AIhub interview highlights 2025

  22 Dec 2025
Join us for a look back at some of the interviews we've conducted with members of the AI community.

Identifying patterns in insect scents using machine learning

  19 Dec 2025
Scientists will use machine learning to predict what types of molecules interact with insect olfactory receptors.

2025 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

  18 Dec 2025
We collate our interviews with the 2025 cohort of doctoral consortium participants.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence