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Tool vs. agent: attributing agency to natural language generation systems

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This paper argues that we should shift our consideration of natural language generation systems as tools for manifesting human intent to natural language generation systems as agents in themselves. Such a semantic shift would permit a more holistic conversation about the transformative social power of these systems’ output.

Keywords: Natural language generation; authorship; computational agency; computational creativity; computer-generated texts

Document Type: Opinion

Affiliations: School of the Arts, English and Drama, Loughborough University, Loughborough, UK

Publication date: 03 July 2018

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