Authoring Creativity With AI: Researcher Patrick Hebron

Authoring Creativity With AI: Researcher Patrick Hebron

Author: MIT Sloan Management Review June 12, 2024 Duration: 28:52
If you’ve played with Photoshop’s Generative Fill feature or worked in Nvidia’s Omniverse platform, you’ve touched tools that Patrick Hebron’s work has made possible. A dual major in philosophy and film production, Patrick approaches creative pursuits with a deep curiosity and the belief that if a “tool gets used in exactly the way that we anticipated, then we have really failed catastrophically.” He believes that emerging digital design tools will elevate human creativity, and he aims to develop technology solutions that will empower creative end users to continue to push boundaries. On this episode, Patrick describes some of the technical challenges in building generative AI solutions for creative pursuits, as well as their vast potential. Read the episode transcript here. Guest bio: Patrick Hebron is a designer, software developer, teacher, and author. His work explores the intersection of machine learning, design tools, programming languages, and operating systems. In particular, he has focused on the development of AI-driven digital design tools. He founded the Machine Intelligence Design groups at Nvidia and Adobe and was vice president of R&D at Stability AI. He is the author of Machine Learning for Designers, published by O’Reilly Media, as well as numerous articles, including Rethinking Design Tools in the Age of Machine Learning and A Unified Tool for the Education of Humans and Machines. He has also worked as an adjunct graduate professor and scientist in residence at New York University. Me, Myself, and AI is a collaborative podcast from MIT Sloan Management Review and Boston Consulting Group and is hosted by Sam Ransbotham and Shervin Khodabandeh. Our engineer is David Lishansky, and the coordinating producers are Allison Ryder and Andy Goffin. Stay in touch with us by joining our LinkedIn group, AI for Leaders at mitsmr.com/AIforLeaders or by following Me, Myself, and AI on LinkedIn. We encourage you to rate and review our show. Your comments may be used in Me, Myself, and AI materials.

Ever wondered how some organizations manage to turn artificial intelligence from a buzzword into a genuine engine for growth, while others struggle to move beyond the pilot phase? Me, Myself, and AI, a production from MIT Sloan Management Review, goes straight to the source to find out. Instead of theoretical discussions, this podcast features candid conversations with the people who are actually building and implementing AI systems at scale. You'll hear directly from leaders at prominent companies like YouTube, Cisco, and Hugging Face as they recount their journeys-not just the polished successes, but the real-world challenges, strategic decisions, and sometimes surprising lessons learned along the way. Each episode digs into the practicalities of creating measurable business value, cutting through the noise to reveal what effective AI leadership and integration truly look like. It’s a focused exploration for anyone in technology, business, or education who wants to understand the human and operational stories behind the algorithms. Tune in for an unvarnished look at the future being built, one practical application at a time.
Author: Language: English Episodes: 100

Me, Myself, and AI
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