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 :



2024 AAAI / ACM SIGAI Doctoral Consortium interviews compilation

  20 Dec 2024
We collate our interviews with the 2024 cohort of doctoral consortium participants.

Interview with Andrews Ata Kangah: Localising illegal mining sites using machine learning and geospatial data

  19 Dec 2024
We spoke to Andrews to find out more about his research, and attending the AfriClimate AI workshop at the Deep Learning Indaba.

#NeurIPS social media round-up part 2

  18 Dec 2024
We pick out some highlights from the second half of the conference.

The Good Robot podcast: Machine vision with Jill Walker Rettberg

  17 Dec 2024
Eleanor and Kerry talk to Jill about machine vision's origins in polished volcanic glass, whether or not we'll actually have self-driving cars, and a famous photo-shopped image.

Five ways you might already encounter AI in cities (and not realise it)

  13 Dec 2024
Researchers studied how residents and visitors experience the presence of AI in public spaces in the UK.

#NeurIPS2024 social media round-up part 1

  12 Dec 2024
Find out what participants have been getting up to at the Neural Information Processing Systems conference in Vancouver.

Congratulations to the #NeurIPS2024 award winners

  11 Dec 2024
Find out who has been recognised by the conference awards.

Multi-agent path finding in continuous environments

and   11 Dec 2024
How can a group of agents minimise their journey length whilst avoiding collisions?




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association