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Artificial Intelligence in Artistic Work – Upcoming challenges for status-quo practices in Arts and Music (Hosted by Shadan Sadeghian)

    CHIWORK Conversation, Hosted by Shadan Sadeghian

    Join us for a CHIWORK conversation on December 8, 2022 at 11am. Click here to: Download Calendar Invite.

    About Kıvanç Tatar 

    Kıvanç Tatar (Sweden/Canada/Turkey) is an artist-technologist focusing on Machine Learning and Artificial Intelligence in the fields of Music and Interactive Arts. His research in Art and Technology integrates Interactive Arts, Advanced Technology, and Design to create transdisciplinary knowledge. His work has been exhibited across the globe; including notable events such as the cultural program at Rio Olympics 2016, the Ars Electronica Festival 2017 and 2020, CHI 2018, and Mutek Montreal 2018, PlugIn Istanbul 2019, and ZKM | Karlsruhe.

    Kıvanç is currently an Assistant Professor in Interactive AI at the Chalmers University of Technology in Gothenburg Sweden. Additionally, he is a fellow of the Wallenberg AI, Autonomous Systems and Software Program – Humanities and Society (WASP-HS).     

    About Kelsey Cotton 

    Kelsey Cotton is a vocalist/artist/mover working with experimental music, Musical Artificial Intelligence, electronic textile, soft-robotics, and Human-Computer Interaction. As a researcher, Kelsey is fascinated with pushing the limits of musical bodies, which has seen her recent work delve deeper into designing artifacts which harness, augment and fuse different physiologies (both physical and digital). Her current work is probing first-person feminist perspectives of musical AI. Kelsey is passionate about somatic interaction, and the potential for intersomatic experiences between fleshy and synthetic bodies. She is currently undertaking PhD studies in Interactive Music and AI at Chalmers University of Technology in Gothenburg, Sweden.


    Host: Shadan Sadeghian

    Shadan Sadeghian is a Post-Doc researcher in the department of “Ubiquitous Design / Experience and Interaction” led by Prof. Dr. Marc Hassenzahl at the University of Siegen. She studied computer science at the university of Bonn and RWTH Aachen, and pursued her PhD in Human-Computer Interaction at OFFIS Institute for Information Technology and University of Oldenburg. She has also worked as a PhD scholar in the Max Planck institute in Tübingen and as a Post-Doc researcher at Fraunhofer institute FKIE.

    Her research focuses on designing user experience and interaction with automated systems such as Robots, AI-based systems, and automated vehicles. She investigates approaches that balance  pragmatic (performance-oriented) and hedonic (experience-oriented) qualities of interacting with automation.

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