ΑΙhub.org
 

The Machine Ethics podcast: AI Ethics, Risks and Safety Conference

by
04 July 2024



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.

AI Ethics, Risks and Safety Conference – Special Edition

In this special edition episode we hear vox-pops recorded at the AI Ethics, Risks and Safety Conference in Bristol on the 15th of May 2024. We hear about AI regulations, AI Standards, AI Ethics frameworks, principles, ethics guiding research, awareness of the ethics of AI, and explainable AI.

Listen to the episode here:


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 :



Unmasking AlphaFold to predict large protein complexes

“We’re giving a new type of input to AlphaFold. The idea is to get the whole picture, both from experiments and neural networks, making it possible to build larger structures."
03 December 2024, by

How to benefit from AI without losing your human self – a fireside chat from IEEE Computational Intelligence Society

Tayo Obafemi-Ajayi (Missouri State University) chats to Hava T. Siegelmann (University of Massachusetts, Amherst)

AIhub monthly digest: November 2024 – dynamic faceted search, the kidney exchange problem, and AfriClimate AI

Welcome to our monthly digest, where you can catch up with AI research, events and news from the month past.
29 November 2024, by

Improving calibration by relating focal loss, temperature scaling, and properness

In ML classification tasks, achieving high accuracy is only part of the goal; it's equally important for models to express how confident they are in their predictions.
28 November 2024, by

The Good Robot podcast: art, technology and justice with Yasmine Boudiaf

In this episode, Eleanor and Kerry chat to Yasmine Boudiaf, a researcher, artist and creative technologist who uses technology in beautiful and interesting ways to challenge and redefine what we think of as 'good'.
27 November 2024, by

AI in cancer research & care: perspectives of three KU Leuven institutes

This story is a collaboration of three Institutes that are working at the intersection of cell research, cancer research and care, and artificial intelligence.




AIhub is supported by:






©2024 - Association for the Understanding of Artificial Intelligence


 












©2021 - ROBOTS Association