Libraries and AI—Challenges and Responses

Introduction

Host: Don from the Gigabit Libraries Network.
Speakers:
- Andrew Cox: Member of the AI Special Interest Group at IFLA; Information School in Sheffield.
- Richard Whitt: President of GLIA Foundation.
Series Context: Part of the "Libraries in Response" series on technology issues affecting libraries.

Context and Background

Libraries are facing multiple crises: COVID-19, climate change, political unrest, and AI.
AI is seen as both an opportunity and a challenge for libraries.
The importance of libraries as trusted institutions in navigating technological changes.

Challenges of AI for Libraries

Existential Concerns: AI's potential impact on humanity and societal structures.
Trust Issues: Ensuring AI agents act in the best interest of users, avoiding "double agents."
Digital Divide: AI might exacerbate inequalities between connected and unconnected communities.
Regulatory Landscape:
- Federal and state policies are being developed to address AI.
- Challenges in effectively regulating complex AI technologies.

Role of Libraries in the Age of AI

Leveraging the high trust in libraries to guide communities through AI challenges.
Promoting AI literacy and responsible AI use among patrons.
Developing AI capabilities, including data stewardship and ethical practices.
Potential partnerships with technology companies for AI development.

Presentations

Richard Whitt

Referenced Cerf's work on digital libraries and intelligent agents (knowbots).
Discussed the rise of AI bots and personal digital assistants.
Introduced the concept of "double agents" in AI that may not serve users' best interests.
Highlighted potential roles for libraries:
- Providing infrastructure and connectivity.
- Serving as repositories of trustworthy digital knowledge.
- Acting as fiduciaries with obligations to patrons.
- Developing AI agents aligned with library values.
- Educating patrons on AI and digital citizenship.

Andrew Cox

Introduced the work of the IFLA AI Special Interest Group.
Presented a strategic framework for libraries responding to AI challenges.
Discussed the AI capability model:
- Material Resources: Data and infrastructure needs.
- Human Resources: Technical and business skills required.
- Intangible Resources: Leadership, coordination, and adaptability.
Suggested key actions for libraries:
- Implement responsible and explainable AI solutions.
- Enhance data stewardship and management skills.
- Promote AI literacy and critical understanding among patrons.
Addressed challenges like resource limitations and the need for collaboration and vision.

Discussion and Audience Participation

Practical Steps for Libraries:
- Start small with AI projects relevant to existing services.
- Define a clear vision for AI integration.
- Collaborate with other libraries and institutions.
Partnerships with Tech Companies:
- Potential benefits and risks of collaborating with technology firms.
- Need for libraries to advocate for ethical AI practices.
Comments from Participants:
- Diane: Shared a tool developed by her library using AI to assist patrons; emphasized the importance of prompt engineering.
- Stephen Abram: Highlighted the need for collaborative efforts, use cases, and establishing guardrails for AI implementation.
- Fiona: Mentioned Toronto Public Library's leadership in using AI.

Conclusion

Recognized that AI presents both significant challenges and opportunities for libraries.
Emphasized the unique position of libraries to leverage trust and promote ethical AI use.
Committed to ongoing discussions and exploring AI's impact on libraries in future sessions.
Encouraged proactive engagement with AI, focusing on community needs and responsible practices.

Note: This outline summarizes a presentation on how libraries can respond to the challenges and opportunities presented by AI, featuring insights from industry experts and audience participation.