ΑΙhub.org
 

The Machine Ethics podcast: What scares you about AI?


by
13 October 2021



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.

What scares you about AI?

In this bonus compilation episode we look back at our interviewees answers to the question: what scares you about our AI mediated future? We chat gender imbalance and lack of diversity, digital personhood, climate change, ubiquitous surveillance, deep-fakes, people misusing AI, human hubris, capitalism getting in the way and more…

This episode features Kate Devlin, Alan Winfield, Marija Slavkovik, Cennydd Bowles, Carissa Véliz, Mercedes Bunz, Dylan Doyle-Burke, Luciano Floridi and Julia Mossbridge.

Listen to the episode here:


About The Machine Ethics podcast

This podcast was created, and is run by, Ben Byford and collaborators. 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.

The goal is to promote debate concerning technology and society, and to foster the production of technology (and in particular: decision making algorithms) that promote human ideals.

Ben Byford is a AI ethics consultant, code, design and data science teacher, freelance games designer with over 10 years of design and coding experience building websites, apps, and games. In 2015 he began talking on AI ethics and started the Machine Ethics podcast. Since then, Ben has talked with academics, developers, doctors, novelists and designers about AI, automation and society.

Join in the conversation with us by getting in touch via email here or following us on Twitter and Instagram.




The Machine Ethics Podcast

            AUAI is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Royal Statistical Society AI task force says: AI regulation needs statistics

  12 Aug 2026
Real World Data Science interviewed RSS Task Force Chair Donna Philips.

Interview with Akari Asai – beyond scaling: frontiers of retrieval-augmented language models

  11 Aug 2026
Akari Asai describes the power of Augmented Language Models, and how they have culminated in the flagship application for scientific research, Open Scholar.

How generative AI and physics can help design new antibiotics

  10 Aug 2026
We need new antibiotics and designing them is difficult. A potential solution is to use generative AI models, guided by trained scientists.

Congratulations to the #IJCAI2026 award winners

  07 Aug 2026
The winners of three prestigious IJCAI awards for 2026 have been announced.

The Machine Ethics podcast: Safe and moral AI with Rebecca Raper

In this episode Ben chats with Rebecca about AI governance and guardrails, moral assurance, under-specification problems, lack of interdisciplinary work in robotics, and more.

CogTwin: A framework for adaptable digital twins

  05 Aug 2026
Find out more about work presented at IJCAI 2025 on Cognitive Digital Twins.

Forthcoming machine learning and AI seminars: August 2026 edition

  04 Aug 2026
A list of free-to-attend AI-related seminars that are scheduled to take place in the next couple of months.

Healthcare benchmarks are only as good as their assumptions

  03 Aug 2026
In healthcare settings where patients use LLMs as a medical assistant, LLM performance differs between evaluation and deployment.



AUAI is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.05 - Association for the Understanding of Artificial Intelligence