C. Thi Nguyen: Metrification

An interview wth C. Thi Nguyen about metrification.

C. Thi Nguyen

AI is based on data. And data is frequently collected with the intent to be quantified, understood, and used across context. That’s why we have things like grade point averages that translate across subject matters and educational institutions. That’s why we perform cost-benefit analyses to normalize the forecasted value of projects—no matter the details. As we deploy more AI that is based on a metrified world, we’re encouraging the quantification of our lives and risk losing the context and subjective value that creates meaning.

In this interview, we talk with C. Thi Nguyen about these large scale metrics, about objectivity and judgment, about how this quantification removes the nuance, contextual sensitivity, and variability to make these measurements legible to the state. And that’s just scratching the surface of this interview.

Thi Nguyen used to be a food writer and is now a philosophy professor at the University of Utah. His research focuses on how social structures and technology can shape our rationality and our agency. He writes about trust, art, games, and communities. His book, Games: Agency as Art, was awarded the American Philosophical Association’s 2021 Book Prize.


If you enjoy our podcasts, please leave a positive rating or comment on Apple Podcasts or Spotify. Sharing your positive feedback helps us reach more people and connect them with the world’s great minds.

Thanks to Jonathan Coulton for our music

Great! You’ve successfully signed up.

Welcome back! You've successfully signed in.

You've successfully subscribed to Artificiality.

Success! Check your email for magic link to sign-in.

Success! Your billing info has been updated.

Your billing was not updated.