Description

Book Synopsis
Introduces implications and applications of artificial intelligence in academic libraries and hopes to inspire new ways of engaging with the technology. As the discussion surrounding ethics, bias, and privacy in AI continues to grow, librarians will be called to make informed decisions and position themselves as leaders in this discourse.

Table of Contents
  • Acknowledgements
    Introduction
  • Part I: User Services
    Chapter 1. The 99 AI Challenge: Empowering a University Community through an Open Learning Pilot
    Carey Toane, Lise Doucette, Paulina Rousseau, Michael Serafin, Michelle Spence, and Christina Kim
  • Chapter 2. URI Libraries’ AI Lab—Evolving to Meet the Needs of Students and Research Communities
    Harrison Dekker, Angelica G. Ferria, and Indrani Mandal
  • Chapter 3. Artificial Intelligence, Machine Translation, and Academic Libraries: Improving Machine Translation Literacy on Campus
    Lynne Bowker, Maria Kalsatos, Amy Ruskin, and Jairo Buitrago Ciro
  • Chapter 4. Incubating AI: The Collaboratory at Ryerson University Library
    Fangmin Wang, Aaron Tucker, and Jae Duk Seo
  • Chapter 5. Separating Artificial Intelligence from Science Fiction: Creating an Academic Library Workshop Series on AI Literacy
    Amanda Wheatley and Sandy Hervieux
  • Chapter 6. Do Students Dream of Electric Cats (or Dogs)?: Using Robotics for a Unique Exam Week Activity in the Library
    Jonathan Scherger, Juliana Espinosa, Autumn Edwards, Chad Edwards, Bryan Abendschein, and Patricia Vander Meer
  • Part II: Collections and Discovery
    Chapter 7. Subjectivity and Discoverability: An Exploration with Images
    Catherine Nicole Coleman, Claudia Engel, and Hilary Thorsen
  • Chapter 8. AI-Informed Approaches to Metadata Tagging for Improved Resource Discovery
    Charlie Harper, Anne Kumer, Shelby Stuart, and Evan Meszaros
  • Chapter 9. “We Could Program a ‘Bot’ to Do That!”: Robotic Process Automation in Metadata Curation and Scholarship Discoverability
    Anna Milholland and Mike Maddalena
  • Chapter 10. More Than Just Algorithms: A Machine Learning Club for Information Specialists
    Mark Bell and Leontien Talboom
  • Chapter 11. The Role of the Library When Computers Can Read: Critically Adopting Handwritten Text Recognition (HTR) Technologies to Support Research
    Melissa Terras
  • Chapter 12. Using IBM Watson for Discovery and Research Support: A Library-Industry Partnership at Auburn University
    Aaron Trehub and Ali Krzton
  • Part III: Toward Future Applications
    Chapter 13. Ethical Implications of Implicit Bias in AI: Impact for Academic Libraries
    Kim Paula Nayyer and Marcelo Rodriguez

    Chapter 14. Machine Information Behaviour
    Michael Ridley

    Biographies
    Index

    The Rise of AI Volume 78 Implications and

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    A Paperback by Sandy Hervieux, Amanda Wheatley

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      Publisher: MP-ALA American Library Assoc
      Publication Date: 5/31/2022 12:00:00 AM
      ISBN13: 9780838939116, 978-0838939116
      ISBN10: 0838939112
      Also in:
      Artificial intelligence (AI)

      Description

      Book Synopsis
      Introduces implications and applications of artificial intelligence in academic libraries and hopes to inspire new ways of engaging with the technology. As the discussion surrounding ethics, bias, and privacy in AI continues to grow, librarians will be called to make informed decisions and position themselves as leaders in this discourse.

      Table of Contents
      • Acknowledgements
        Introduction
      • Part I: User Services
        Chapter 1. The 99 AI Challenge: Empowering a University Community through an Open Learning Pilot
        Carey Toane, Lise Doucette, Paulina Rousseau, Michael Serafin, Michelle Spence, and Christina Kim
      • Chapter 2. URI Libraries’ AI Lab—Evolving to Meet the Needs of Students and Research Communities
        Harrison Dekker, Angelica G. Ferria, and Indrani Mandal
      • Chapter 3. Artificial Intelligence, Machine Translation, and Academic Libraries: Improving Machine Translation Literacy on Campus
        Lynne Bowker, Maria Kalsatos, Amy Ruskin, and Jairo Buitrago Ciro
      • Chapter 4. Incubating AI: The Collaboratory at Ryerson University Library
        Fangmin Wang, Aaron Tucker, and Jae Duk Seo
      • Chapter 5. Separating Artificial Intelligence from Science Fiction: Creating an Academic Library Workshop Series on AI Literacy
        Amanda Wheatley and Sandy Hervieux
      • Chapter 6. Do Students Dream of Electric Cats (or Dogs)?: Using Robotics for a Unique Exam Week Activity in the Library
        Jonathan Scherger, Juliana Espinosa, Autumn Edwards, Chad Edwards, Bryan Abendschein, and Patricia Vander Meer
      • Part II: Collections and Discovery
        Chapter 7. Subjectivity and Discoverability: An Exploration with Images
        Catherine Nicole Coleman, Claudia Engel, and Hilary Thorsen
      • Chapter 8. AI-Informed Approaches to Metadata Tagging for Improved Resource Discovery
        Charlie Harper, Anne Kumer, Shelby Stuart, and Evan Meszaros
      • Chapter 9. “We Could Program a ‘Bot’ to Do That!”: Robotic Process Automation in Metadata Curation and Scholarship Discoverability
        Anna Milholland and Mike Maddalena
      • Chapter 10. More Than Just Algorithms: A Machine Learning Club for Information Specialists
        Mark Bell and Leontien Talboom
      • Chapter 11. The Role of the Library When Computers Can Read: Critically Adopting Handwritten Text Recognition (HTR) Technologies to Support Research
        Melissa Terras
      • Chapter 12. Using IBM Watson for Discovery and Research Support: A Library-Industry Partnership at Auburn University
        Aaron Trehub and Ali Krzton
      • Part III: Toward Future Applications
        Chapter 13. Ethical Implications of Implicit Bias in AI: Impact for Academic Libraries
        Kim Paula Nayyer and Marcelo Rodriguez

        Chapter 14. Machine Information Behaviour
        Michael Ridley

        Biographies
        Index

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