As algorithmic data processing increasingly pervades everyday life, it is also making its way into the worlds of art, literature and music. In doing so, it shifts notions of creativity and evokes non-anthropocentric perspectives on artistic practice. This volume brings together contributions from the fields of cultural studies, literary studies, musicology and sound studies as well as media studies, sociology of technology, and beyond, presenting a truly interdisciplinary, state-of-the-art picture of the transformation of creative practice brought about by various forms of AI.
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Eckart Voigts is a professor of English literature at Technische Universität Braunschweig. He has written, edited and co-edited numerous books and articles. Robin Markus Auer is working towards a PhD as part of an interdisciplinary research project on automated creativity in literature and music at Technische Universität Braunschweig. His work focuses on the interplay between human and machine creativity in coupled embodied creative systems. Dietmar Elflein (apl. Prof. Dr.) teaches popular music at Technische Universität Braunschweig. He is a member of the advisory board of the German speaking branch of the International Association for the Study of Popular Music. Sebastian Kunas is a musician, sound artist, producer and educator with background in sub and DIY culture as well as in cultural and sound studies. He teaches electronic sound and music practice and supervises the electronic studio and the recording studio at the Faculty of Cultural Studies and Aesthetic Communication at Universität Hildesheim. He is a member of the collective ARK (Arkestrated Rhythmachine Komplexities), a changing association of artists, scholars and electronic MusickingThings. Jan Röhnert is a professor for Modern literature in the technical-scientific world in the Department of German Letters at Technische Universität Braunschweig. His research interests range from avantgarde poetics and cinema, autobiography and war, landscape and geopoetics, nature and wilderness writing to feminism and contemporary literature.
As algorithmic data processing increasingly pervades everyday life, it is also making its way into the worlds of art, literature and music. In doing so, it shifts notions of creativity and evokes non-anthropocentric perspectives on artistic practice. This volume brings together contributions from the fields of cultural studies, literary studies, musicology and sound studies as well as media studies, sociology of technology, and beyond, presenting a truly interdisciplinary, state-of-the-art picture of the transformation of creative practice brought about by various forms of AI.
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