Ghost in the Machine: Metadata, Commodification, and the Specter of Artificial Intelligence

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The goal of this essay is to critically analyze how metadata and cataloging work have adapted due to advances in digital technology and artificial intelligence (AI). It argues that while these tools can streamline, expedite, and enhance metadata work for library professionals, they also exacerbate hazards inherent in a late capitalist landscape, where the focus on efficiency and profitability can subvert the creation of accurate and nuanced metadata. It is my aim to illuminate the operations of late capitalism on the commodification of library metadata, where the ethical risks outweigh the reward of functionality. This essay serves as a counter viewpoint to the push for increasing AI’s role in metadata generation and calls for librarians to thoughtfully and innovatively engage with AI technologies, while resisting the unchecked commodification of information. By investigating these intersections, this article seeks to provide a pathway for metadata professionals to leverage emerging technologies responsibly, ensuring they can continue to serve as stewards of reliable and accessible information.

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