AI in Arts Administration: Pedagogy and Practice

Edited by

Alicia Jay, Ph.D., Indiana State University

Youngaah Koh, Ph.D., Miami University

Erin J. Hoppe, Ph.D., Miami University 

Artificial Intelligence (AI) has existed since the 1950s. In fall 2022, there was a distinct shift from autonomous systems and benefits to fears of mass cheating in education with the widespread availability of ChatGPT. Generative AI has increased concerns about artistic integrity and the potential for loss of the human in the arts. From streamlining processes to fear of job redundancy and replacement, the conversations surrounding AI evolve daily. New policies and regulations are emerging, and arts administrators/managers are navigating emerging technology while learning how to use it, and in some cases, teach about it.

Generative AI has been commonplace for nearly two years, with its capacities showing no signs of slowing down. Now is the time to collect and share what is currently in practice in arts organizations and arts administration classrooms to reflect on the state of the field and practices thus far, and to better the field of arts administration and education as they intersect with AI. This edited volume aims to: 1. Refine current practices, 2. Engage with new ideas, 3. Dispel fears and apprehensions, and 4. Chart new territories.

The editors of this volume seek original essays about the status and practices in the arts administration, management, and education fields as they pertain to artificial intelligence, (including generative AI/language learning models, predictive AI, tools, applications, and pedagogical/artistics contexts). We seek essays of around 7,000-9,000 words that explore various aspects of current theory and practice. This volume will be submitted for peer review.

Note, generative AI will not pass the peer review process and will cause the manuscript to be rejected. Authors may not use generative AI to write, edit, or refine their papers (using predictive AI software applications, such as spell check or Grammarly is acceptable). However, generative AI prompts and text may be needed to explain practices and pedagogies; these must be fully attributed and may not be a substantial portion of the essay.

Possible topics include, but are not limited to:

• Case studies about AI in arts administration contexts.
• Theoretical approaches to considering AI in the field of arts administration/management, and education/pedagogy.
• AI pedagogy for arts administration/management in higher education.
• Internal/external drivers for change in attitudes regarding generative AI in arts administration.
• AI use for discipline areas in arts administration, such as, but not limited to marketing, customer service, box office, graphic design, content creation, development/fundraising, grant writing, advocacy, and assessment/evaluation.
• Professional development and professionalization of the field.
• Global perspectives: case studies and/or policies.
• Human resource implications for worker well-being, compensation, and social equity.
• Issues surrounding AI, copyright, intellectual property, and ownership.
• Ethics and responsible use of AI in arts administration/management.
• Accessibility and forward thinking.
• Perspectives from the field: topics that bridge industry experience with academic theory/examination.

These are only a few possible topics; the editors welcome other ideas. Please send an abstract of 300-400 words to alicia.jay@indstate.edu by July, 1 2024. 

Timeline:

• Abstract of 300-400 words Due: July 15, 2024 *EXTENDED*
• Notifications of Invitation for Submission: August 1, 2024
• Chapter Due: October 15, 2024
• Revisions Sent: January 15, 2025
• Revisions Due: March 1, 2025
• Submission for Peer Review: April 1, 2025