Call for Chapters: AI in Academic Libraries: Navigating the Future

Editors

Russell Michalak
Karim Boughida

About this Edited Collection

The edited book collection will delve into the evolving role of AI in academic libraries and its impact on library staff, services, writing, and workflows. It will explore the ethical dimensions of adopting these technologies, considering aspects such as data privacy, bias mitigation, transparency, and the impact on library professionals and patrons. The collection will provide insights, strategies, and best practices for librarians, information professionals, library administrators, and stakeholders to navigate the future of work in an AI- and automation-driven library environment. We seek to demystify and demythologize AI.

Chapter Topics

Chapter topics may focus on, but are not limited to the following:

Foundational Concepts and Implications:

Ethical Frameworks for AI and Automation Adoption in Academic Libraries
Automation and its Implications for the Future of Work in Academic Libraries
Is AI going to replace us? Or what types of jobs are most likely to be replaced by AI?
The Impact of AI and Automation on Job Design and Resource Allocation in Libraries
AI is not an IT project or how do you build your own AI and leverage cloud offerings?
Critical AI in the library world

AI Literacies & Education:

The Role of AI Literacies or How to Build New AI Literacies
Building AI Literacies in Academic Libraries
When the library is the AI hub on campus or when the library is building the AI community
AI and Information Literacy

Functional Applications of AI in Libraries:

The Role of AI in Reference and Research Services
Transforming Collection Development and Management with AI and Automation
Automation and Innovation in Circulation, Resource Sharing, and Interlibrary Loan Services or AI and Automation in Digital Scholarship, Data Services, and Research Collaboration
Leveraging AI and Automation for Preservation, Digital Archives, and Access
Enhancing Discoverability and Accessibility through AI in Metadata and Cataloging
Personalization and User Experience: AI-Driven Services in Academic Libraries
AI-Enhanced Assessment, Analytics, and Evidence-Based Decision-Making in Libraries
Streamlining Workflows, Efficiency, and Operations with AI in Libraries
Virtual Assistants, Conversational Agents, Voice Assistants, and generative chatbots
Recommenders in the library world
Reinventing the library search engine: how generative AI is going to impact the future of search.
Robots and managing analog items (physical assets)

Workforce and Human Resources:

Workforce Development, Transition, and Human Resources Strategies in the AI Age
Hiring, Upskilling, and Reskilling Strategies for Library Staff in the AI Age
Navigating Human-AI Collaboration: Promising Practices and Lessons Learned in Libraries

Future Perspectives & Trends:

Future Perspectives: Emerging Technologies, Trends, and Paradigm Shifts in AI for Libraries
R&D in libraries or how libraries are experimenting with AI

Case Studies & Real-World Applications:

Case Studies, Real-World Examples, and Lessons Learned: AI and Automation in Libraries

Data, Security, and Ethics:

Data Protection, Security, Transparency, and Fairness in AI-Driven Library Environment
Data Analytics
Plagiarism detection in the age of AI, or concerns about data privacy in AI writing tools
The ethics of using AI in authorship
Citing AI

Scholarly Communication:

AI and Automation in Academic Publishing: The Future of Scholarly Communication
Library vendors and AI implementations
AI and Standards
Automated Manuscript Screening: Leveraging AI to assess automatically and screen submissions for relevance, quality, or adherence to specific guidelines.
Plagiarism and Data Fabrication Detection: Using AI to detect instances of plagiarism or fabricated data more efficiently than traditional means.
Optimizing Peer Review
AI in Open Access and Repositories
Enhanced Content Accessibility
Preservation Standards

Other topics are welcome, and you are encouraged to submit your proposals.

We welcome proposals from academic libraries around the world and encourage authors to share their experiences and perspectives on using AI in academic librarianship. We particularly welcome proposals that address diversity, equity, and inclusion in the use of AI in libraries. We are looking for contributions from a broad spectrum of individuals working in higher education including vendors, associations, societies, publishers, and academic librarians. Each chapter should be written through the lens of equity, diversity, and inclusion.

Each chapter (4,000 to 8,000 words) should provide lessons learned and/or practical suggestions for readers to provide actionable advice for resolving institutional and organizational concerns related to toxic behaviors in the workplace.

Tentative Timeline:

November 13, 2023 - CFP opens
December 12 , 2023 - CFP closes
January 8, 2023 - Notification of submission status (accepted or declined) sent
March 15, 2024 - Outline Due
June 15, 2024: 1st Draft Due*
July 12, 2024: 1st round revisions are sent by Editors to Contributors
August 30, 2023: 2nd round revisions* are due by Contributors to Editors
3rd round revisions: As needed
December 30, 2024: Final Manuscript submitted to Publisher
* Please note that all chapters will be reviewed by potentially all editors for commenting and track changes.

How to Submit Your Proposal

Please note that a 400-500 word abstract is required (and must be submitted via a shared Google doc in the submission form) and should include an overall outline of the proposed chapter with clearly labeled relevant headings that address the topic of the edited collection as described in this CfP. Please make sure to also address, even if only at a high level, what lessons learned / practical actionable next steps readers can take away from your chapter to hopefully help address similar concerns they may be facing.

Please submit your proposal by completing the proposal submission form available by visiting

https://docs.google.com/forms/d/e/1FAIpQLSdL-iSOHh5Xav5Uw9aN6tVH9RMHPCccoZ521L7PUEpAvSo2Tw/viewform?usp=sf_link