Artificial Intelligence in Cultural and Creative Sectors

An upcoming Routledge edited volume on the revolutionary impact of Artificial Intelligence (AI) on cultural and creative sectors aims to explore the diverse applications and implications of AI in enhancing creativity, audience engagement, accessibility, operational efficiencies, and much more within the arts and culture sector. Chapter proposals deadline is May 15, 2024.

Artificial Intelligence (AI) is revolutionizing cultural and creative sectors by unlocking new dimensions of creativity, audience engagement, accessibility, and operational efficiencies. AI’s contribution to creativity has led to the emergence of generative art (Zhou & Lee, 2023), where algorithms create original artworks, music, literature, and performances. This not only broadens the scope of creative possibilities but also acts as a tool for artists to explore new ideas and techniques (Ali Elfa & Dawood, 2023). As a collaborative partner, AI enables artists to transcend the limits of traditional art forms and venture into unexplored realms of artistic expression (Mazzone & Elgammal, 2019).

In terms of audience engagement, AI-powered interactive exhibits and personalized recommendation systems are changing how visitors experience art and culture (Marmolejo-Ramos et al., 2022). Interactive exhibits, responsive to visitors’ actions, offer immersive experiences that were previously unimaginable, making each interaction unique (Ioannakis et al., 2020). Similarly, recommendation systems tailor suggestions to individual preferences, enhancing visitor engagement and satisfaction. This personalization extends to accessibility and inclusion, where AI-driven language translation services and accessibility features make art and culture accessible to a broader audience, eliminating language barriers and enhancing the experience for people with disabilities (Mende et al., 2024).

Operational efficiency represents yet another domain where AI is marking substantial advancements. The automation of curation and archiving simplifies the handling of extensive collections, facilitating the easy categorization and identification of items (Colavizza et al., 2021). Powered by AI, predictive analytics can project attendance patterns and refine event planning and marketing approaches, guaranteeing that cultural entities remain pertinent and economically sustainable. Moreover, AI’s proficiency in analyzing visitor data provides profound insights into audience inclinations, enabling organizations to adjust their offerings to align with visitor expectations (French & Villaespesa, 2019).

AI’s impact extends to conservation and education as well (Abbasi et al., 2024). In conservation, AI tools can analyze and predict deterioration patterns of artifacts, aiding in their preservation and restoration. This technology offers possibilities for digitally restoring damaged artworks, providing insights into potential restoration outcomes without physically altering the pieces (Gaber et al., 2023). Educational initiatives also benefit from AI through personalized learning experiences that adapt to individual learning styles and interests, making cultural education more accessible and engaging.

Moreover, AI’s analysis of social media and visitor data offers valuable insights into public interests and cultural trends, informing programming and marketing decisions (Orama et al., 2022). This not only helps in attracting a wider audience but also in creating content that resonates with contemporary societal interests.

In conclusion, AI is transforming cultural and creative sectors by fostering innovation in creative processes, enhancing audience engagement through personalization, improving accessibility, streamlining operations, and providing insights for better decision-making. As organizations continue to embrace AI, they unlock new potentials for making art and culture more dynamic, inclusive, and enriching for communities worldwide.

This book aims to:

Provide a comprehensive introduction to AI technologies in cultural and creative sectors, explaining their mechanics, capabilities, and limitations.
Explain how AI can be applied creatively and operationally within cultural and creative organizations.
Highlight case studies and examples where AI has been successfully integrated into artistic creation, audience engagement, curation, and operational efficiency. This could include AI in generating new artworks, enhancing visitor experiences through personalized recommendations, or streamlining collection management.
Delve into the ethical considerations, including concerns about authenticity, authorship, and the impact of AI on creative jobs.
Discuss the philosophical implications of AI in art, exploring what it means for creativity and whether AI-generated art can possess emotional depth or cultural significance.
Offer practical guidance for cultural and creative sectors looking to adopt AI, including strategies for starting small, scaling up initiatives, and integrating AI with existing processes.
Discuss future developments in AI and how they might impact the cultural and creative sectors, e.g., emerging AI technologies, potential new applications for AI in the arts, and long-term societal implications.

Target Audience

This book is aimed at a wide readership, including academics and students in arts management, museum studies, digital humanities, and AI ethics; arts administrators and cultural managers; artists and creatives; policy makers and cultural advocates; and general readers interested in the intersection of technology and culture.

Chapter Proposals

S, practitioners, and artists are invited to submit chapter proposals that contribute to the understanding of AI’s transformative role in cultural and creative sectors. The editors welcome a diverse range of perspectives to provide a comprehensive overview of the subject from multiple angles, including insights from practitioners in the field, academic researchers, students, and artists. Chapter proposals may include (but are not limited to) theoretical discussions, case studies, and practical applications in one of the following sectors:

Visual arts and heritage: Museums and Art Galleries; Art Fairs and Biennales; Libraries and Archives; Historical Sites and Monuments, etc.
Performing arts: Theatres and Orchestras, Live Performances, Festivals and Events, etc.
Literary arts: Writers, Publishers, Literary Agents, Editors, Screenwriters, etc.
Audiovisual and interactive media: Music, Film and Television, Animation and Video Game Studios, etc.
Design and creative organizations: Fashion, Architecture, Design, Crafts and Artisanal Products, etc.
Advertising and Communication: Advertising Agencies; Branding and Communication Firms; Social Media; Influencers and Content Creators, etc.
Cultural Tourism: Heritage Site Tours; Themed Cultural Experiences; Art Hotels, etc.

This comprehensive book seeks contributions that address, but are not limited to, the following key areas:

The integration and impact of AI on creative processes across various media and practices.
AI’s role in enhancing audience engagement through interactive and personalized experiences.
Operational efficiencies achieved through AI in inventory management, customer engagement, and beyond.
Ethical and cultural implications of utilizing AI in cultural productions, including issues related to copyright, authenticity, and preservation of cultural heritage.

Submission Guidelines

Chapter proposals should be approximately 300 words, outlining the chapter’s scope, objectives, and the main themes the chapter will explore, the methodology and sources you plan to use and any preliminary findings or conclusions. Please include a brief author(s) biography.

Important Dates

Submission of chapter proposals: May 15, 2024
Notification of accepted chapter proposals: June 15, 2024
Full chapter submission: October 30, 2024
Review and revisions completed: December 31, 2024

Submission Process

Please send your chapter proposals to mmassi@athabasca.ca. Ensure your proposal is clearly marked with the subject line: "Chapter Proposal Submission - AI in Cultural and Creative Sectors.”

Editorial Process

All submitted chapter proposals will undergo a peer review process to ensure the highest quality and relevance to the book’s themes. Contributors may be asked to revise their chapters based on review feedback. Routledge would like to publish the book in early 2025.

Editors: Marta Massi, Alessandra Ricci, Marek Prokupek and Maria Carmela Ostillio

The book is intended to be published within the successful series Routledge Research in the Creative & Cultural Industries.

Comments (0)

There are no comments for this content yet.