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.
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