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Maya Ackerman

Associate Professor of Computer Science and Engineering and CEO/co-founder of WaveAI, specializing in generative AI for music and creative human–AI collaboration, and author of the book Creative Machines.

Top 3 podcasts with Maya Ackerman

Ranked by the Snipd community
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32 snips
Oct 24, 2025 • 1h 2min

Can Machines Be Truly Creative? (with Maya Ackerman)

Maya Ackerman, an AI researcher and co-founder of WaveAI, dives into the fascinating intersection of creativity and artificial intelligence. She discusses how creativity can be defined as novel and valuable output, highlighting evolution as a creative process. Maya reveals that machine creativity differs from human creativity in speed and emotional context. The conversation touches on the role of AI in enhancing human capabilities rather than replacing them, and reframes hallucination as a vital part of imagination. Explore how AI can elevate our creativity in collaborative ways!
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26 snips
Dec 12, 2025 • 29min

948: In Case You Missed It in November 2025

Tyler Cox, a distinguished engineer, dives into innovative state-space models and Mamba optimizations for long-context LLMs, revealing how they outperform traditional architectures. Vijoy Pandey discusses the necessity of zero-trust access and robust permissions in AI agents. Marc Dupuis warns about the risks of metric sprawl in AI-driven analytics and advocates for a collaborative approach to metric design. Meanwhile, Maya Ackerman champions co-creative AI tools that empower users and nurture creative diversity.
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10 snips
Nov 25, 2025 • 57min

943: Creative Machines: AI in Music and Art, with Prof. Maya Ackerman

Maya Ackerman, an Associate Professor and CEO of WaveAI, dives deep into the intersection of AI and creativity. She challenges the idea of human uniqueness in creativity, advocating for AI as a collaborative partner. Listen as she discusses reframing AI-generated 'hallucinations' as creative sparks and shares insights from her work on Lyric and Melody Studio, which empower users in songwriting. Maya also explores the future of generative AI in music, advocating for human-centric approaches that enrich rather than replace human creativity.

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