All Outputs (3)

Engaging the many-hands problem of generative-AI outputs: a framework for attributing credit (2024)
Journal Article
Khosrowi, D., Finn, F., & Clark, E. (online). Engaging the many-hands problem of generative-AI outputs: a framework for attributing credit. AI and Ethics, https://doi.org/10.1007/s43681-024-00440-7

The recent wave of generative AI (GenAI) systems like Stable Diffusion or ChatGPT that can produce images, text and code from human prompts raises controversial issues about creatorship, originality, creativity and copyright. This paper focuses on cr... Read More about Engaging the many-hands problem of generative-AI outputs: a framework for attributing credit.

How can we assess whether to trust collectives of scientists? (2024)
Journal Article
Clark, E. (online). How can we assess whether to trust collectives of scientists?. The British Journal for the Philosophy of Science, https://doi.org/10.1086/729661

Decentring the discoverer: how AI helps us rethink scientific discovery (2022)
Journal Article
Clark, E., & Khosrowi, D. (2022). Decentring the discoverer: how AI helps us rethink scientific discovery. Synthese, 200(6), Article 463. https://doi.org/10.1007/s11229-022-03902-9

This paper investigates how intuitions about scientific discovery using artificial intelligence (AI) can be used to improve our understanding of scientific discovery more generally. Traditional accounts of discovery have been agent-centred: they plac... Read More about Decentring the discoverer: how AI helps us rethink scientific discovery.