Ethical AI and Librarianship

A Resource Guide

AI, libraries, and the changing face of information literacy 

Field Description
Title AI, libraries, and the changing face of information literacy
Type Videos
Creator
  • Cathie Warburton (Chair)
  • Jing Su (Panelist)
  • Fiona Bradley (Panelist)
  • Kay Oddone (Panelist)
Link Video and related resources: https://www.alia.org.au/Web/News/Articles/2023/2-February-2023/ALIA_Blog_AI_Libraries.aspx
Creation Date 02/02/2023
Last Updated Date --
Summary This video records an online panel discussion hosted by the Australian Library and Information Association (ALIA) that explores the growing impact of Artificial Intelligence (AI) on media and information literacy, ethics, scholarly publishing, and education. Questions raised include: Do we need a definition of concept about AI literacy, or is it already part of information literacy? How can algorithmic literacy help us detect and address AI bias? Should AI be banned in schools and universities? These topics are especially relevant to librarians and educators who are considering approaches to teaching information literacy in the AI era. Jing Su, a PhD candidate at the News and Media Research Centre, University of Canberra, uses a pizza metaphor (data as ingredients, algorithm as recipe) to explain how generative AI works and why it may inherit biases from both data and design. She highlights the importance of fact-checking AI-generated content for both students and educators relying on tools such as ChatGPT. Fiona Bradley, Director of Research and Infrastructure at UNSW Library, discusses the ethical implications of AI, including labor exploitation in data labeling and the lack of transparency in training data. She underscores libraries’ role in advocating transparency and ethical AI practices. On scholarly publishing, she suggested clear guidelines, training, and up-front discussions around research integrity to help researchers avoid unintentional misconduct. Dr. Kay Oddone, Lecturer and Course Director of the Master of Education: Teacher Librarianship, emphasizes the need for stronger critical evaluation skills among users as AI can hallucinate responses. She suggests that AI and algorithmic literacy can be interpreted within information literacy. Specifically, the ability to critically assess bias, privacy and security in algorithms and their outputs and to make informed decisions accordingly are competencies that fall within the expertise of librarians, who are well-equipped to support such literacy development. Implications of AI on academic integrity in school education context are also discussed. The video is freely and openly viewable (with auto-generated transcripts) through web browsers. The webpage also includes links to the resources discussed during the webinar.
Topic Ethical AI. Libraries. AI and librarianship.
Source and Link Australian Library and Information Association (ALIA). https://www.alia.org.au
Access Open.
Accessibility Auto-generated transcripts available.
Audience Librarian – General. Librarians – Academic & Research. Librarians – School.
Platform or Format Web – Vimeo
Length 0:57:38
Geography AUS/USA
Language ENG
Description Date 06/25/2025

Ethical AI and Librarianship: A Resource Guide