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Kivanc Tatar is a Postdoctoral Research Fellow at the University of Gothenburg, focusing on the intersection of music and technology. His research interests include neural audio instruments from epistemological and phenomenological perspectives, investigating the musical embodiment and implications of deep learning in audio technologies. Tatar's work explores human-AI musical interactions, examining the biases in artificial intelligence as applied to sound and voice. He contributes to ongoing discussions about the role of AI in music through various publications and collaborations, including innovative projects with digital platforms. His academic journey is marked by contributions to leading journals and participation in significant conferences in the fields of music technology and artificial intelligence.
Administered by the Department of Political Science; focus on International Administration and Global Governance (IAGG).