Show Notes
Generative AI is able to conjure new images, stories, and songs at lightning speed. So what does this mean for humans artists, storytellers, and musicians? In this special Labor Day episode, we speak with economists Ben Jones and Sam Goldberg, as well as artist Yevgenia Nayberg, to find out what happens when AI enters creative markets. We learn that, at least today, key bottlenecks prevent AI from replicating some aspects of creativity. But there’s no guarantee those bottlenecks will exist tomorrow, raising vital questions about what we value in human labor.
Life, Automated is a production of the Ryan Institute on Complexity, at Northwestern’s Kellogg School of Management. The host is Jess Love, senior director. Distributed by KQED.
Producer: Steven Jackson Senior Producer: Jesse Dukes
Music: Steven Jackson
Associate Producer: Stacia Sliger
Recording: George Christensen, Will Feeney
Promotional help from Ananya Mallapragada and Charlotte Simmons.
More from Life, Automated
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AI is making cyberattacks cheaper, faster, and more sophisticated. Recent reports of autonomous agents compromising Hugging Face show how quickly misaligned systems can create real-world risk. But ideally those same tools could help defenders find and fix vulnerabilities before attackers exploit them.
Live AI translation tools are making it easier to converse across languages without a human translator, a phrasebook, or years of study. So will we all just stop taking Spanish or Mandarin classes? Sociolinguist Abby Walker doesn’t think so. She shares the many reasons we learn new languages, some of which have little to do with functional communication at all. We also hear how one AI-assisted conversation brought two future in-laws together, why machine translation is still so darn buggy, and why some languages are attracting a resurgence of new learners even in the age of translation apps.
“AI will revolutionize education!”
As AI tools spread through classrooms, many educators see a “cheating factory.” Kellogg Professor Sébastien Martin sees things differently: as a chance to reinvent how and what we teach. In his operations management class, students trade PDFs for lifelike chatbots, log conversations with Socratic AI tutors, and use AI to explore the kinds of social and political dynamics that students normally have to learn on the job. But Martin also grapples with harder questions: What about public schools with fewer resources? When should kids use AI at all? And how can students stay hopeful and true to their own interests in a wildly uncertain future?