Art and the science of generative AI-Reference-Cited by-同舟云学术

Art and the science of generative AI

Published:2023-06-16 Issue:6650 Volume:380 Page:1110-1111
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Epstein Ziv¹,Hertzmann Aaron²³,Akten Memo⁴,Farid Hany⁵,Fjeld Jessica⁶,Frank Morgan R.⁷,Groh Matthew¹,Herman Laura⁷⁸,Leach Neil⁹,Mahari Robert⁶¹,Pentland Alex “Sandy”¹,Russakovsky Olga¹⁰,Schroeder Hope¹,Smith Amy¹¹,

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, MA, USA.

2. Adobe Research, San Francisco, CA, USA.

3. University of Washington, Seattle, WA, USA.

4. University of California, San Diego, San Diego, CA, USA.

5. University of California, Berkeley, Berkeley, CA, USA.

6. Harvard Law School, Cambridge, MA, USA.

7. University of Pittsburgh, Pittsburgh, PA, USA.

8. University of Oxford, Oxford, UK.

9. Florida International University, Miami, FL, USA.

10. Princeton University, Princeton, NJ, USA.

11. Queen Mary University of London, London, UK.

Abstract

Understanding shifts in creative work will help guide AI’s impact on the media ecosystem

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Link

https://www.science.org/doi/pdf/10.1126/science.adh4451

Reference16 articles.

1. R. Rombach Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (2022). pp. 10684–10695.

2. A. Vaswani “Attention is all you need” in Advances in Neural Information Processing Systems 30 (2017).

3. A. Hertzmann Arts. 7 (no. 2) (2018).

4. Z. Epstein Art and the science of generative AI: A deeper dive. arXiv2306.04141 [cs.CY] (2023).

5. Who Gets Credit for AI-Generated Art?

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