ΑΙhub.org
 

The Machine Ethics podcast: Avoidable misery with Adam Braus


by
19 January 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.

Avoidable misery with Adam Braus

This episode we’re chatting with Adam Braus about natural stupidity, natural intelligence, misericordianism and avoidable misery, the drowning child thought experiment, natural state of morality, Donald Trump bot, Asimov’s rules, human instincts, the positive outcomes of AI and more…

Listen to the episode here:

Adam Braus is a professor and polymath professional, author, and expert in the fields of ethics, education, and organizational management. He is a writer, speaker, teacher, podcaster, coach, and consultant. He lives in San Francisco, California. You can subscribe to his weekly podcast, find links to his books, or contact him via his website.


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 :



What’s coming up at #IROS2025?

  15 Oct 2025
Find out what the International Conference on Intelligent Robots and Systems has in store.

Applying machine learning to chip design and manufacturing: interview with Lorenzo Servadei

  14 Oct 2025
Find out how Lorenzo and his team are using ML and Electronic Design Automation.

Why we should be skeptical of the hasty global push to test 15-year-olds’ AI literacy in 2029

  13 Oct 2025
Are schools set to become testing grounds for AI developments?

Machine learning for atomic-scale simulations: balancing speed and physical laws

How much underlying physics can we safely “shortcut” without breaking a simulation?

Policy design for two-sided platforms with participation dynamics: interview with Haruka Kiyohara

  09 Oct 2025
Studying the long-term impacts of decision-making algorithms on two-sided platforms such as e-commerce or music streaming apps.

The Machine Ethics podcast: What excites you about AI? Vol.2

This is a bonus episode looking back over answers to our question: What excites you about AI?

Interview with Janice Anta Zebaze: using AI to address energy supply challenges

  07 Oct 2025
Find out more about research combining renewable energy systems, tribology, and artificial intelligence.

How does AI affect how we learn? A cognitive psychologist explains why you learn when the work is hard

  06 Oct 2025
Early research is only beginning to scratch the surface of how AI technology will truly affect learning and cognition in the long run.



 

AIhub is supported by:






 












©2025.05 - Association for the Understanding of Artificial Intelligence