The Complicated Intersection of AI and Creativity, w/ Dr. Maya Ackerman
Exploring the intersection of AI and human creativity, examining augmentation versus replacement.
Guest
Dr. Maya Ackerman
AI researcher, entrepreneur, and author
Dr. Maya Ackerman is an AI researcher, entrepreneur, and author of Creative Machines: AI, Art, and Us. Her work explores how machine-learning systems shape creativity, culture, and artistic labor. She argues for human-centered interfaces and incentives that help people expand creative possibilities rather than simply automate existing production.
About this conversation
Does AI make us more creative—or quietly replace us?
In this episode of AI-Curious, we sit down with Dr. Maya Ackerman—author of Creative Machines: AI, Art, and Us —to probe where human creativity ends and machine creativity begins, and how incentives in Big Tech and venture capital shape the tools we all use.
We explore why today’s dominant systems skew “convergent” (safe, samey, oracle-like) instead of “divergent” (surprising, generative), what that means for artists, and how to design AI that actually elevates human imagination rather than displacing it.
Why listen
We wrestle with uncomfortable truths: bias mirrored back at us, investor pressure to “replace” vs. “augment,” and the risk of a cultural sea of slop. We also map a constructive path forward—collaborative systems, richer human–AI interfaces, and a 10-year horizon where AI expands human creative range.