Generative Artificial Intelligence as Hypercommons: Ethics of Authorship and Ownership

Gazi Islam () and Michelle Greenwood ()
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Gazi Islam: Grenoble Ecole de Management
Michelle Greenwood: Monash University

Journal of Business Ethics, 2024, vol. 192, issue 4, No 1, 659-663

Abstract: Abstract In this editorial essay, we argue that Generative Artificial Intelligence programs (GenAI) draw on what we term a “hypercommons”, involving collectively produced inputs and labour that are largely invisible or untraceable. We argue that automatizing the exploitation of common inputs, in ways that remix and reconfigure them, can lead to a crisis of academic authorship in which the moral agency involved in scholarly production is increasingly eroded. We discuss the relationship between the hypercommons and authorship in terms of moral agency and the ethics of academic production, speculating on different responses to the crisis of authorship as posed by GenAI.

Keywords: Business Ethics; Artificial Intelligence; Commons; Authorship; Academic Publishing (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10551-024-05741-9

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