Generative AI and Libraries by Hanegan, Michael; Rosser, Chris;

Short description:

Facing a relentless wave of AI transformation, libraries must evolve from static support to ethical, innovative leaders in the digital era. Blending theory with practical tactics, the text outlines a route to navigate bias, equity, privacy and misinformation while boosting AI literacy and stakeholder collaboration.

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Long description:

In the form of generative AI, libraries are facing technological transformation of unprecedented speed and scale. Both controversial and disruptive, the sudden ubiquity of AI has already triggered uncertainty as well as the need for rapid adaptation. As AI reshapes how humans learn, work, and interact with information, libraries across the ecosystem—from public to academic, from school to special libraries—must resist the temptation to merely serve as static support and instead claim the center by becoming a dynamic, positive influence. Because, as the authors of this book persuasively argue, libraries are uniquely positioned to lead AI’s ethical and human-centered integration within communities. Blending theory and concepts with an unswervingly pragmatic approach, from this book readers will

• be introduced to foundational principles and frameworks for navigating the so-called “Age of Intelligence” that provide useful guiderails no matter how AI technology actively evolves;
• delve into the complex ethical considerations of AI, including bias, equity, privacy, misinformation, and the potential impact on human agency and dignity;
• receive guidance related to stakeholder engagement, resource allocation, and the need for continuous learning and adaptation;
• discover practical models for evaluating and implementing AI tools thoughtfully and effectively in ways that align with libraries’ values and mission;
• become familiar with STACKS, an approach for learning, problem solving, and innovation with generative AI;
• explore AI literacy as an expression of metaliteracy using seven frames for instruction and learning; and
• walk away with a sense of how libraries can actively define their essential role as leaders and shapers of the AI landscape, ensuring their continued value and preventing marginalization.

As this book demonstrates, by embracing their unique position as ethical stewards and trusted guides, libraries have an unprecedented opportunity to shape how AI transforms society—not from the margins, but from the center of a shared future.

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