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Generative AI in Creative Industries / edited by Amina Al-Marzouqi, Said Salloum, Khaled Shaalan, Tarek Gaber, Ra'ed Masa'deh.

Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2025 Available online

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Format:
Book
Author/Creator:
Al-Marzouqi, Amina.
Contributor:
Salloum, Said.
Shaalan, Khaled.
Gaber, Tarek.
Masa'deh, Ra'ed.
Series:
Studies in Computational Intelligence, 1860-9503 ; 1208
Language:
English
Subjects (All):
Computational intelligence.
Engineering--Data processing.
Engineering.
Artificial intelligence.
Arts.
Computational Intelligence.
Data Engineering.
Artificial Intelligence.
Local Subjects:
Computational Intelligence.
Data Engineering.
Artificial Intelligence.
Arts.
Physical Description:
1 online resource (782 pages)
Edition:
1st ed. 2025.
Place of Publication:
Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Summary:
This book compiles a comprehensive collection of pioneering research that addresses the multifaceted challenges and theoretical aspects of Generative AI in creative industries. Generative AI, a groundbreaking technological development, has been carving a significant niche within the creative industries. This innovative form of AI, exemplified by models like OpenAI's ChatGPT, is not only transforming the landscape of human-like text generation but is also radically reshaping creative fields such as music, literature, and visual arts. In the realm of creative industries, Generative AI serves as a catalyst for artistic innovation, offering tools for artists to push the boundaries of creativity. It assists in composing music, generating unique artworks, and even writing stories or scripts, thereby democratizing the creative process. The integration of Generative AI in these industries promises a synergy between human creativity and machine intelligence, potentially leading to novel genres and forms of art. Despite its transformative potential, the incorporation of Generative AI in creative fields is not devoid of challenges. Ethical considerations, such as authorship rights, originality, and the impact on traditional creative roles, are pivotal. Moreover, the authenticity and emotional depth of AI-generated content compared to human-created art is a subject of ongoing debate. The book aims to feature original manuscripts encompassing a wide array of topics, from the development of new generative technologies and their practical application in creative fields, to critical analysis of the ethical, legal, and cultural implications of these systems. By gathering the latest advancements in this field and spotlighting emerging avenues for research, this book serves as an invaluable resource and guide for researchers, artists, and practitioners operating at the intersection of Generative AI and creative industries.
Contents:
Introduction to Generative AI
Foundations and Frontiers: The Evolution and Impact of Generative AI Technologies
The Architecture of Generative AI and Its Role in the Creative Industry
Generative AI in Music
Enhancing Music Genre Classification Using Advanced Machine Learning Techniques: A Novel Approach
Exploring User Intention to Use Generative AI in Music Composition: An SEM-ANN Methodology
Generative AI in Literature
Machine Translation (MT) Literature Review and Empirical Investigation
Generative AI in Visual Arts
How Business Intelligence Leads to Improve Data Visualization?
Practical Applications in Creative Industries
Adoption of Artificial Intelligence Chatbots in Tourism in Jordan
The Impact of Artificial Intelligence on Digital Accounting in the Kingdom of Saudi Arabia
Ethical and Legal Considerations
Meta-Analysis of Ethical Challenges in the Use of Artificial Intelligence in Arab Media Institutions
Ethical Challenges and Organizational Implications of AI in Digital Marketing in The Hospitality Sector.
Notes:
Description based on publisher supplied metadata and other sources.
Other Format:
Print version: Al-Marzouqi, Amina Generative AI in Creative Industries
ISBN:
9783031891755
OCLC:
1527300639

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