Navigating the AI-Driven Metadata Landscape: A Human Centered Approach
Year: 2025
Type: article
Abstract: This research explores the use of AI in metadata tasks within information organizations, based on a global survey of professionals. The survey examined perceived benefits, challenges, concerns, and necessary competencies for integrating AI into metadata creation and management. Key findings indicate a generally positive outlook on AI's potential benefits, particularly for enriching and linking metadata, but also highlight concerns regarding transparency, bias, and the critical need for human oversight and skilled professionals. The analysis identifies benefits, challenges, and concerns as distinct factors influencing AI adoption and emphasizes the importance of confidence and continuous skill development for successful implementation.
Authors: LIU, Ying-Hsang, Pfeffer, Magnus
Institutions: Chemnitz University of Technology, Stuttgart Media University
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W6930800950
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