Generative AI

Education

The Complexity of Ethic Centered AI Literacy in Higher Education

One of the main challenges which academic librarians face when trying to develop programs and services that support AI literacy is the wide array of stances taken by institutions, and individual faculty members, when it comes to teaching with and about AI tools. These dimensions are not only applicable to students, but also to faculty, who also need help and guidance navigating the new technologies. One aspect which becomes central to this conversation is promoting the ethical use of AI tools in the academic environment. Although the topic has gathered considerable attention in recent conversations, these remain fragmented and divisive.

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Training Librarians for Crisis Communication: Why Virtual Reality Might Be the Answer

When you step into your local public library on a typical afternoon, you might see children and their families gathered for story time, a retiree reading in a corner, or a student hunched over a laptop. But, just as often, librarians encounter a very different scene: a patron in crisis. Public libraries have increasingly become places where people facing houselessness, mental health crises, or other personal struggles turn for help.

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Information Integrity, Academic Integrity, and Generative AI

Information science is well-positioned to lead and critically inform the development of theoretical and technological frameworks that support information integrity and academic integrity. If we agree with the argument that generative AI tools and technologies share such high-level facets as people, information, data, technology, and their interaction with information science, then it is our responsibility to embrace the opportunities and address the emerging informational, social, ethical, and cultural challenges.

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