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 :

Formal verification for safety evaluation of autonomous vehicles: an interview with Abdelrahman Sayed Sayed

  14 Apr 2026
Find out more about work at the intersection of continuous AI models, formal methods, and autonomous systems.

Water flow in prairie watersheds is increasingly unpredictable — but AI could help

  13 Apr 2026
In recent years, the Prairies have seen bigger swings in climate conditions — very wet years followed by very dry ones.

Identifying interactions at scale for LLMs

  10 Apr 2026
Model behavior is rarely the result of isolated components; rather, it emerges from complex dependencies and patterns.

Interview with Sukanya Mandal: Synthesizing multi-modal knowledge graphs for smart city intelligence

  09 Apr 2026
A modular four-stage framework that draws on LLMs to automate synthetic multi-modal knowledge graphs.

Emergence of fragility in LLM-based social networks: an interview with Francesco Bertolotti

  08 Apr 2026
Francesco tells us how LLMs behave in the social network Moltbook, and what this reveals about network dynamics.

Scaling up multi-agent systems: an interview with Minghong Geng

  07 Apr 2026
We sat down with Minghong in the latest of our interviews with the 2026 AAAI/SIGAI Doctoral Consortium participants.

Forthcoming machine learning and AI seminars: April 2026 edition

  02 Apr 2026
A list of free-to-attend AI-related seminars that are scheduled to take place between 2 April and 31 May 2026.

#AAAI2026 invited talk: machine learning for particle physics

  01 Apr 2026
How is ML used in the search for new particles at CERN?



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence