In this episode, we talk with Maya Ackerman, an AI researcher and entrepreneur at the forefront of AI-assisted creativity. She shares how her journey from machine learning research to opera singing led to the creation of Wave AI, a company focused on co-creative AI tools for songwriting.

Maya Ackerman explores how AI can be a true creative collaborator, rather than just a content generator. She introduces the concept of “humble creative machines”, AI that enhances human creativity while keeping artists in control. We discuss AI’s theory of mind, biases in generative models, and the future of AI-assisted songwriting.

Dr. Maya Ackerman is a world-renowned expert in artificial intelligence and creativity, focusing on co-creativity and its transformative potential across industries. Ackerman is a researcher, entrepreneur, and professor of AI at Santa Clara University. She is the CEO of WaveAI, the company behind LyricStudio, a widely used AI songwriting tool. Her work has been featured in Forbes, NBC, and NPR.

Nils Petter Molvær snakker om hvordan han kombinerer jazz med elektroniske og ambiente elementer, og hvordan improvisasjon og teknologi har formet hans unike sound. Han reflekterer over musikkens evne til å kommunisere på tvers av språk og hvordan han skaper et uttrykk som speiler hans personlige identitet som musiker.

Nils Petter Molvær er en norsk jazztrompetist, komponist og produsent. Han betraktes som en pionér i å kombinere jazz og elektronisk musikk. Han har mottatt en rekke priser, blant annet fire Spellemannpriser som soloartist og tre som medlem av bandet Masqualero.

In this episode, we meet Shayan Dadman, a computer scientist and PhD candidate at the University of Tromsø. Shayan's work focuses on developing AI systems that align with individual musical tastes, aiming to foster collaboration between humans and technology. He shares his journey from studying software engineering to creating systems for jazz composition and beyond. We delve into the challenges of building small, personalized models, the role of reinforcement learning in music generation, and the ethical dilemmas surrounding AI-created content.

Shayan Dadman is a computer scientist from Iran who’s now a phd candidate at the University in Tromsø. His goal is to develop an AI system that resonates with individual musical tastes, forming a collaborative and interactive connection with users.