ΑΙhub.org
 

The Machine Ethics Podcast: featuring Marie Oldfield


by
15 May 2023



share this:

marie oldfield
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.

The professionalisation of data science with Dr Marie Oldfield

This episode we’re talking with Dr Marie Oldfield on definitions of AI, the education and communication gaps with AI, explainable models, ethics in education, problems with audits and legislation, AI accreditation, importance of interdisciplinary teams, when to use AI or not, and harms from algorithms.

Listen to the episode here:

Marie Oldfield (CStat, CSci, FIScT) is the CEO of Oldfield Consultancy and Kuinua Coaching. She is also a Senior Lecturer in Practice for the London School of Economics. With a background in mathematics and philosophy, she is a trusted advisor to government, defence, and the legal sector, amongst others. She is founder of the Institute of Science and Technology (IST) Artificial Intelligence Group, founder of the IST Women in Tech group, and a Professional Chartership Assessor for the Science Council. Marie is frequently invited to speak on popular podcasts, panels and at conferences about her experience and research in AI and ethics.

Marie founded Oldfield Consultancy to solve complex problems ethically with the latest technology. Oldfield Consultancy provides analytical training for technical and non-technical teams. Marie is passionate about giving back to the global community through extensive pro bono work, with a focus on education, poverty, children, and mental health.


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:



Subscribe to AIhub newsletter on substack



Related posts :

A history of RoboCup with Manuela Veloso

  24 Mar 2026
Find out how RoboCup got started and how the competition has evolved, from one of the co-founders.

Information-driven design of imaging systems

  23 Mar 2026
Framework that enables direct evaluation and optimization of imaging systems based on their information content.

Machine learning framework to predict global imperilment status of freshwater fish

  20 Mar 2026
“With our model, decision makers can deploy resources in advance before a species becomes imperiled.”

Interview with AAAI Fellow Yan Liu: machine learning for time series

  19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.

A principled approach for data bias mitigation

  18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.

An AI image generator for non-English speakers

  17 Mar 2026
"Translations lose the nuances of language and culture, because many words lack good English equivalents."

AI and Theory of Mind: an interview with Nitay Alon

  16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
coffee corner

AIhub coffee corner: AI, kids, and the future – “generation AI”

  13 Mar 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence