The Creativity Code: Art and Innovation in the Age of AI
Open accessAbstract
Most books on AI focus on the future of work. But now that algorithms can learn and adapt, does the future of creativity also belong to well-programmed machines? To answer this question, Marcus du Sautoy takes us to the forefront of creative new technologies and offers a more positive and unexpected vision of our future cohabitation with machines.
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Generative AI systems are considered a pioneering attempt to boost a novel form of creativity that diverges from established human paths.
“With the capability of performing high-level creative tasks in diverse domains, for instance, visual arts [4], music composition and performance [23,26], creative writing [47], these generative systems are considered a pioneering attempt to boost a novel form of creativity that is diverging from the established path human beings have carved out and then followed each day [20], if examined through”
Cited by
Sorted by citations
He, Q., Zheng, W., Bao, H., Chen, R., & Tong, X. (2023) · Proceedings of the Eleventh International Symposium of Chinese CHI · doi:10.1145/3629606.3629675 · Cited by 15 · see citing works
A machine in the loop: the peculiar intervention of artificial intelligence in writer’s block
Gilburt, I. (2024) · New Writing · doi:10.1080/14790726.2023.2223176 · Cited by 14 · see citing works
- Authors
- du Sautoy, M.
- Venue
- Harvard University Press eBooks
- Publisher
- Harvard University Press
- Published
- 2019-04-30
- OpenAlex
- W4255498188
- Cited by
- 167
- References
- 0
- Citations by year
- 2026: 23 · 2025: 34 · 2024: 33 · 2023: 35 · 2022: 19 · 2021: 11 · 2020: 10 · 2019: 1 · 2017: 1
- FWCI
- 30.34
- Type
- book
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Harvard University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Arts and Humanities › Visual Arts and Performing Arts › Art, Technology, and Culture
- Physical Sciences › Computer Science › Artificial Intelligence › Artificial Intelligence Applications
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Keywords
- artificial intelligence, creativity, machine learning, human-machine collaboration, future of creativity, algorithms, human-AI coexistence
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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