ΑΙhub.org
 

The Machine Ethics Podcast: Algorithmic discrimination with Damien Williams


by
03 June 2021



share this:

damien williams machine ethics
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.

Algorithmic discrimination with Damien Williams

This episode we chat with Damien Williams about types of human and algorithmic discrimination, human-technology expectations and norms, algorithms and benefit services, the contextual nature of sample data, is face recognition even a good idea? Should we be scared that GTP-3 will take our jobs and the cultural value of jobs, encoding values into autonomous beings, culture and mothering AI, AI and dogma, and more…

Listen to the episode here:

Podcast authors: Ben Byford with Damien Williams

Damien Patrick Williams (@Wolven) researches how technologies such as algorithms, machine intelligence, and biotechnological interventions are impacted by the values, knowledge systems, philosophical explorations, social structures, and even religious beliefs of human beings. Damien is especially concerned with how the consideration and treatment of marginalized peoples will affect the creation of so-called artificially intelligent systems and other technosocial structures of human societies. More on Damien’s research can be found at AFutureWorthThinkingAbout.com.

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.

AIhub focus issue on reduced inequalities

tags: ,


The Machine Ethics Podcast

            AIhub is supported by:



Subscribe to AIhub newsletter on substack



Related posts :

Interview with AAAI Fellow Yan Liu: machine learning for time series

  19 Mar 2026
Hear from 2026 AAAI Fellow Yan Liu about her research into time series, the associated applications, and the promise of physics-informed models.

A principled approach for data bias mitigation

  18 Mar 2026
Find out more about work presented at AIES 2025 which proposes a new way to measure data bias, along with a mitigation algorithm with mathematical guarantees.

An AI image generator for non-English speakers

  17 Mar 2026
"Translations lose the nuances of language and culture, because many words lack good English equivalents."

AI and Theory of Mind: an interview with Nitay Alon

  16 Mar 2026
Find out more about how Theory of Mind plays out in deceptive environments, multi-agents systems, the interdisciplinary nature of this field, when to use Theory of Mind, and when not to, and more.
coffee corner

AIhub coffee corner: AI, kids, and the future – “generation AI”

  13 Mar 2026
The AIhub coffee corner captures the musings of AI experts over a short conversation.

AI chatbots can effectively sway voters – in either direction

  12 Mar 2026
A short interaction with a chatbot can meaningfully shift a voter’s opinion about a presidential candidate or proposed policy.

Studying the properties of large language models: an interview with Maxime Meyer

  11 Mar 2026
What happens when you increase the prompt length in a LLM? In the latest interview in our AAAI Doctoral Consortium series, we sat down with Maxime, a PhD student in Singapore.

What the Moltbook experiment is teaching us about AI

An experimental social media platform where only AI bots can post reveals surprising lessons about artificial intelligence behaviour and safety.



AIhub is supported by:







Subscribe to AIhub newsletter on substack




 















©2026.02 - Association for the Understanding of Artificial Intelligence