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Librarianship: AI and Libraries

A guide to library resources and Web Sites for Librarians.

How are you using AI in the library?

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AI Tools for Research

Seven Principles from Association of Research Libraries

  • Foster digital literacy: Educate library users and IT professionals about AI.
  • Understand and raise awareness of AI bias: Content generated by artificial intelligence is vulnerable to distortion of information and images, and libraries are encouraged to help users navigate and assess AI with distortion in mind.
  • Advocate for openness and transparency: Specifically, focus on the algorithms, training data and methodologies used to create AI.
  • Understand there’s no AI without humans: Recognize human involvement is needed in ethical, accessibility and reliability considerations when it comes to using AI in research environments.
  • Security and privacy are key: Libraries are encouraged to advocate for laws and regulations that prioritize personal information of library users.
  • Continuation of copyright law enforcement: There is a push for libraries to “preserve library rights” for research and education purposes. The principle also points toward a separate set of copyright principles and its intersection with AI, created by the Library Copyright Alliance, which is the Association of Research Libraries and the American Library Association.
  • Equity in digital information: The copyright law needs to remain the guiding force of contracts with academic and research journals and institutions, according to Katherine Klosek, director of information policy and federal relations. She stated there have been some concerns on contracts with private companies overriding copyright laws. This principle emphasizes the need for fair use, intellectual freedom and freedom of information regarding the use, and access to, digital information.

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