03099nam a22005175i 4500 978-3-031-54752-2 DE-He213 20251030111738.0 cr nn 008mamaa 240322s2024 sz | s |||| 0|eng d 9783031547522 978-3-031-54752-2 10.1007/978-3-031-54752-2 doi HM621-656 JFCA bicssc SOC022000 bisacsh JBCC1 thema Danesi, Marcel. author. aut http://id.loc.gov/vocabulary/relators/aut 41123 AI-Generated Popular Culture [electronic resource] : A Semiotic Perspective / by Marcel Danesi. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Palgrave Macmillan, 2024. XVI, 199 p. 12 illus., 1 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 1. AI, Popular Culture, Semiotics -- 2. AI-Generated Literature -- 3. AI-Generated Cinema -- 4. AI-Generated Music -- 5. AI in the Mass Media -- 6. AI-Generated Art -- 7. AI in Marketing and Advertising -- 8. AI and Gaming Culture -- 9. Simulacrum Culture -- 10. AI and the Future of Popular Culture. This book gives a general overview of Artificial Intelligence as it is impacting on the world of the arts and culture. What is AI-generated pop culture? What does a movie, a musical work, a novel, or song created entirely by a generative AI imply in terms of our notions of creativity? What is the semiotic dynamic (the meaning-making impulse that humans imprint in sign and textual forms) that is involved in an AI-produced work? No comprehensive treatment exists of the profound implications that AI-generated pop culture entails, including how it might affect cultural evolution and how we interpret artistic artifacts. Such a treatment is critical at this moment, and this book aims to fill this gap. Marcel Danesi is Professor Emeritus of Semiotics and Linguistic Anthropology at the University of Toronto. He is known for his work in language, communications and semiotics and is Director of the program in semiotics and communication theory. Popular Culture. 57605 Semiotics. 69632 Artificial intelligence. 58441 Popular Culture. 57605 Semiotics. 69632 Artificial Intelligence. 58441 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031547515 Printed edition: 9783031547539 Printed edition: 9783031547546 https://doi.org/10.1007/978-3-031-54752-2 ZDB-2-LCM ZDB-2-SXL 58575 58575