Core Artificial Intelligence and Machine Learning in Libraries Interest Group

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Purpose: Provides a forum for researching potential applications of Machine and Deep Learning in library science, including discussions, publications, and outreach to the wider Library community. Its goal is to educate librarians on uses of the complex techniques of machine learning and to provide a space for critically thinking both about new applications, and about the ethical and social impact of these technologies , as the field rapidly expands in the coming decade.

This group is part of Core's Technology Section.

Portraits of three Core members with caption Become a Member: Find Your Home: Core.

 

AAC&U webinar: The AI Revolution Transforming Higher Education for the Workforce of Tomorrow

  • 1.  AAC&U webinar: The AI Revolution Transforming Higher Education for the Workforce of Tomorrow

    Posted Aug 25, 2023 12:16 PM

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    While much of the discussion surrounding higher education and artificial intelligence (AI) has focused on scaling up AI research and adapting teaching methods in the face of tools such as ChatGPT, another side to AI's impact on higher education is also compelling action. AI and machine learning are reshaping the world of work. It is predicted that over the next five years, new career paths will emerge, many existing paths will be reshaped, and some will end because of AI adoption and innovation. Higher education has entered a pivotal moment of challenge and opportunity to respond to this rapidly changing employability landscape.

    This webinar will feature a panel of experts who will contemplate the impact AI will have on the near-term future of employment in the United States and consider the most important changes higher education can make to develop a well-prepared workforce. This discussion will also focus on partnership, curricular, and pedagogical opportunities that will enable higher education to prepare our students for an increasingly AI-rich future.

    For more information and to register, visit the webinar registration page.



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    Peter Musser
    Co-chair, CORE IG for Artificial Intelligence and Machine Learning in Libraries

    Head, Library Services
    ISKME
    He/Him/His
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