Welcome to the Art Angle, a podcast from Artnet News that delves into the places where the art world meets the real world, bringing each week’s biggest story down to earth. Join us every week for an in-depth look at what matters most in museums, the art market, and much more, with input from our own writers and editors, as well as artists, curators, and other top experts in the field.

The arrival of A.I. will profoundly change the art world—if it hasn’t already.

A.I.-generated works have proliferated with the rise of A.I. art generators and large language models from DALL-E to ChatGPT, making their way into galleries and in some cases, winning prestigious awards. But the question remains: is it art, if it’s been dreamed up by an algorithm? Or do our existing definitions of art and art-making require rethinking in the age of machine intelligence? To help us answer these questions and more, the Art Angle looked to K Allado-McDowell, a leading voice in a rapidly evolving field.

As a long-time A.I. researcher at Google A.I., K founded the Artists + Machine Intelligence program, which since 2016 has nurtured artists including Refik Anadol. And as an artist, K has created works—from an opera to numerous books—alongside the language model GPT-3.

In a conversation with Artnet News’ Art & Pop Culture editor Min Chen, K shed light on their practice, their experiences with machine intelligence, and their view on how A.I. is changing the face of art.

Listen to more episodes:

The Art Angle Podcast: What Is ‘Quantitative Aesthetics,’ and How Is It Changing Art?

The Art Angle Podcast: An Oral History of Ryan McGinley’s ‘The Kids Are Alright,’ 20 Years Later

The Art Angle Podcast: How Roy Lichtenstein Became a Super-Villain to Comic Book Artists

The Art Angle Podcast: How Does Data Give You the Edge in the Art Market?

The Art Angle Podcast: How the Heist Movie ‘Inside’ Turns Art Into a Thief’s Salvation

The Art Angle Podcast: The Triumphant, Tragic Life of Nazi-Era Artist Charlotte Salomon

The Art Angle Podcast: Hito Steyerl on Why the Metaverse Has Already Failed