Professor Matthew Studley Matthew2.Studley@uwe.ac.uk
Professor of Ethics & Technology/School Director (Research & Enterprise)
Professor Matthew Studley Matthew2.Studley@uwe.ac.uk
Professor of Ethics & Technology/School Director (Research & Enterprise)
Scott deLahunta
One of us comes from dance, the other from robotics, and you would be forgiven for thinking immediately about the YouTube films created by Boston Dynamics. But what connects us is our concern that human-ness is losing ground to machine-ness. To partly address this, we organised a workshop in January 2023 which posed the question: “How can the Arts and Humanities Shape our AI Future?” Our intention was for an open and unstructured discussion unrestrained by our preconceptions, which was the gratifying outcome. We thought it would be interesting to post the same question to ChatGPT which was much hyped at the time and present its suggested answers to the workshop participants. The artificially generated answers were worthy but uninteresting, being bereft of insight or originality. In contrast, the workshop was variously frustrating, exhilarating, challenging and reaffirming. Six hours with two dozen people together in a room reminds us of how human we are (Studley and deLahunta 2023).
Journal Article Type | Article |
---|---|
Acceptance Date | May 8, 2023 |
Online Publication Date | Jun 23, 2023 |
Publication Date | Oct 31, 2023 |
Deposit Date | Jun 26, 2023 |
Publicly Available Date | Jun 24, 2024 |
Journal | AI and Society |
Print ISSN | 0951-5666 |
Electronic ISSN | 1435-5655 |
Publisher | Springer (part of Springer Nature) |
Peer Reviewed | Not Peer Reviewed |
Volume | 38 |
Pages | 1977–1979 |
DOI | https://doi.org/10.1007/s00146-023-01701-5 |
Keywords | Artificial Intelligence; Human-Computer Interaction; Philosophy |
Public URL | https://uwe-repository.worktribe.com/output/10888279 |
Publisher URL | https://link.springer.com/article/10.1007/s00146-023-01701-5 |
Roots and models
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Copyright Statement
This is the authors accepted version of the article 'Studley, M., & deLahunta, S. (2023). Roots and models. AI and Society, 38, 1977–1979. https://doi.org/10.1007/s00146-023-01701-5'.
DOI: https://doi.org/10.1007/s00146-023-01701-5
The final published version is available here: https://link.springer.com/article/10.1007/s00146-023-01701-5
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