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My guest for Episode #327 of the My Favorite Mistake podcast is Dr. Maya Ackerman, AI pioneer, researcher, and CEO of WaveAI. She’s also an associate professor of Computer Science and Engineering at Santa Clara University and the author of the new book Creative Machines: AI, Art, and Us.
EPISODE PAGE WITH VIDEO, TRANSCRIPT, AND MORE
In this episode, Maya shares her favorite mistake — one that changed how she builds technology and thinks about creativity. Early in her journey as an entrepreneur, her team at WaveAI created an ambitious product called “Alicia,” designed to assist with every step of music creation. But in trying to help too much, they accidentally took freedom away from users. That experience inspired her concept of “humble AI” — systems that step back, listen, and support human creativity rather than take over.
Maya describes how that lesson led to their breakthrough success with Lyric Studio, an AI songwriting tool that empowers millions of artists by helping them create while staying true to their own voices. She also shares insights from her research on human-centered design, the philosophy behind generative models, and why we should build AI that’s more collaborative than competitive.
Together, we discuss why mistakes — whether made by people or machines — can spark innovation, and how being more forgiving toward imperfection can help both leaders and creators thrive.
“If AI is meant to be human-centric, it must be humble. Its job is to elevate people, not replace them.”
“Who decided machines have to be perfect? It’s a ridiculous expectation — and a limiting one.”
4.9
3939 ratings
My guest for Episode #327 of the My Favorite Mistake podcast is Dr. Maya Ackerman, AI pioneer, researcher, and CEO of WaveAI. She’s also an associate professor of Computer Science and Engineering at Santa Clara University and the author of the new book Creative Machines: AI, Art, and Us.
EPISODE PAGE WITH VIDEO, TRANSCRIPT, AND MORE
In this episode, Maya shares her favorite mistake — one that changed how she builds technology and thinks about creativity. Early in her journey as an entrepreneur, her team at WaveAI created an ambitious product called “Alicia,” designed to assist with every step of music creation. But in trying to help too much, they accidentally took freedom away from users. That experience inspired her concept of “humble AI” — systems that step back, listen, and support human creativity rather than take over.
Maya describes how that lesson led to their breakthrough success with Lyric Studio, an AI songwriting tool that empowers millions of artists by helping them create while staying true to their own voices. She also shares insights from her research on human-centered design, the philosophy behind generative models, and why we should build AI that’s more collaborative than competitive.
Together, we discuss why mistakes — whether made by people or machines — can spark innovation, and how being more forgiving toward imperfection can help both leaders and creators thrive.
“If AI is meant to be human-centric, it must be humble. Its job is to elevate people, not replace them.”
“Who decided machines have to be perfect? It’s a ridiculous expectation — and a limiting one.”
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