52. 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...
Date: 1st of March 2021
Podcast authors: Ben Byford with Damien Williams
Audio duration: 57:21
Website plays & downloads: 89 Click to download
Tags: Academic, Discrimination, GTP-3, Government, Dogma, Job displacement

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

No transcript currently available for this episode.

Episode host: Ben Byford

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, Ben has talked with academics, developers, doctors, novelists and designers on AI, automation and society.

Through Ethical by Design Ben and the team help organisations make better AI decisions leveraging their experience in design, technology, business, data, sociology and philosophy.

@BenByford