Experimentation-driven frameworks for AI technology adoption in libraries: Practical implementation in the library

Abstract

This article presents a practical case study centered around the adoption of AI technology within a library setting through the lens of the Curiosity-Based Experimentation (CBE) Framework. It offers insights into the successful implementation of CBE by exploring a librarian’s experimentation with a text-to-video generator AI tool. Motivated by the aim to enhance social media interactions and personal branding, the librarian creatively utilized the technology to craft novel videos. These videos, featuring university staff, students, and visitors, yielded engaging content for the library’s online platforms. The article underscores the application of AI in libraries, illustrating how a CBE-driven approach can foster innovative solutions and amplify academic community engagement. Finally, some practical implications are provided to libraries which include resource allocation for experimentation, learning from failures, open communication, documentation, and interdisciplinary collaboration to foster innovation and enhancing library value.

Keywords:

• Academic libraries
• artificial intelligence
• curiosity-based experimentation
• entrepreneurship

Acknowledgments

The research’s authors would like to acknowledge the librarian who took part in the study and shared the insights about the AI technology adoption experimentation.

Institutional review board statement

The conducted study was approved by the Institutional Review Board of Gisma University of Applied Sciences, Potsdam, Germany under protocol number 02/2023.

Additional information

Funding

This research is funded by the European Union’s Horizon research and innovation programme (Project ID: 101061516, Project Acronym: Li-brarIN). This publication solely reflects the views of the authors, and the Agency cannot be held responsible for any use made of the information contained herein. The paper was also co-funded by Winning Scientific Management, Portugal (Project ID: WINBUSMOD001).