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:



Related posts :



Interview with Xiang Fang: Multi-modal learning and embodied intelligence

  20 Jan 2026
In the first of our new series of interviews featuring the AAAI Doctoral Consortium participants, we hear from Xiang Fang.

An introduction to science communication at #AAAI2026

  19 Jan 2026
Find out more about our session on Wednesday 21 January.

Guarding Europe’s hidden lifelines: how AI could protect subsea infrastructure

  15 Jan 2026
EU-funded researchers are developing AI-powered surveillance tools to protect the vast network of subsea cables and pipelines that keep the continent’s energy and data flowing.

What’s coming up at #AAAI2026?

  14 Jan 2026
Find out what's on the programme at the annual AAAI Conference on Artificial Intelligence.

Taking humanoid soccer to the next level: An interview with RoboCup trustee Alessandra Rossi

  13 Jan 2026
Find out more about the forthcoming changes to the RoboCup soccer leagues.

Robots to navigate hiking trails

  12 Jan 2026
Find out more about work presented at IROS 2025 on autonomous hiking trail navigation via semantic segmentation and geometric analysis.

AAAI presidential panel – AI reasoning

  09 Jan 2026
Watch the third panel discussion in this series from AAAI.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence