The rise of AI: : implications and applications of artificial intelligence in academic libraries / Sandy Hervieux, Amanda Wheatley.

Enhanced descriptions from Syndetics:

Librarians are uniquely positioned to rise to the challenge that artificial intelligence (AI) presents to the field. Libraries and their like have existed for millennia; they progress with society, altering and adapting their services to meet the information needs of their communities.



The Rise of AI collects projects, collaborations, and future uses from academic librarians who have begun to embrace AI in their work. In three parts--User Services, Collections and Discovery, and Toward Future Applications--it explores: machine translation creating incubation spaces robotics combining information literacy initiatives with AI literacy fostering partnerships with other on-campus groups integrating AI technology into collections to enhance discoverability using AI to refine metadata for images, articles, and theses machine learning

The Rise of AI introduces implications and applications of artificial intelligence in academic libraries and hopes to provoke conversations and 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 provided by Syndetics

• Acknowledgements (p. vii)
• Introduction (p. ix)
• Part I User Services
• Chapter 1 The 99 AI Challenge: Empowering a University Community through an Open Learning Pilot (p. 3)
• Chapter 2 URI Libraries' AI Lab-Evolving to Meet the Needs of Students and Research Communities (p. 15)
• Chapter 3 Artificial Intelligence, Machine Translation, and Academic Libraries: Improving Machine Translation Literacy on Campus (p. 35)
• Chapter 4 Incubating AI: The Collaboratory at Ryerson University Library (p. 47)
• Chapter 5 Separating Artificial Intelligence from Science Fiction: Creating an Academic Library Workshop Series on AI Literacy (p. 61)
• Chapter 6 Do Students Dream of Electric Cats (or Dogs)?: Using Robotics for a Unique Exam Week Activity in the Library (p. 71)
• Part II Collections and Discovery
• Chapter 7 Subjectivity and Discoverability: An Exploration with Images (p. 83)
• Chapter 8 AI-Informed Approaches to Metadata Tagging for Improved Resource Discovery (p. 95)
• Chapter 9 "We Could Program a 'Bot' to Do That!": Robotic Process Automation in Metadata Curation and Scholarship Discoverability (p. 111)
• Chapter 10 More Than Just Algorithms: A Machine Learning Club for Information Specialists (p. 123)
• Chapter 11 The Role of the Library When Computers Can Read: Critically Adopting Handwritten Text Recognition (HTR) Technologies to Support Research (p. 137)
• Chapter 12 Using IBM Watson for Discovery and Research Support: A Library-Industry Partnership at Auburn University (p. 149)
• Part III Toward Future Applications
• Chapter 13 Ethical Implications of Implicit Bias in AI: Impact for Academic Libraries (p. 165)
• Chapter 14 Machine Information Behaviour (p. 175)
• Biographies (p. 189)
• Index (p. 195)

Author notes provided by Syndetics