Representation of Libraries in Artificial Intelligence Regulations and Implications for Ethics and Practice. Issue 3 (3rd July 2022)

• Record Type: Journal Article
• Authors: Bradley, Fiona
• Is Part Of: Journal of the Australian Library & Information Association. Volume 71:Issue 3(2022)
• Page Start: 189
• Page End: 200
• Publication Date: 2022-07-03
• Subjects: Regulation -- governance -- artificial intelligence -- libraries; Information science -- Periodicals; Information science -- Australia -- Periodicals; Information science -- Pacific Area -- Periodicals; Library science -- Periodicals; Library science -- Australia -- Periodicals; Library science -- Pacific Area -- Periodicals; Information science; Library science; Australia; Pacific Area; Periodicals; 020.5
• DOI: 10.1080/24750158.2022.2101911
• Languages: English
• ISSNs: 2475-0158

Abstract

ABSTRACT: We are already living in an algorithmic society. AI policies and regulations are now emerging at the same time as more is learned about the implications of bias in machine learning sets, the surveillance risks of smart cities and facial recognition, and automated decision-making by government, among many other applications of AI and machine learning. Each of these issues raises concerns around ethics, privacy, and data protection. This paper introduces some of the key AI regulatory developments to date and engagement by libraries in these processes. While many AI applications are largely emergent and hypothetical in libraries, some mature examples can be identified in research literature searching, language tools for textual analysis, and access to collection data. The paper presents a summary of how library activities such as these are represented in national AI plans and ways that libraries have engaged with other aspects of AI regulation including the development of ethical frameworks. Based on the sector's expertise in related regulatory issues including copyright and data protection, the paper suggests further opportunities to contribute to the future of ethical, trustworthy, and transparent AI.