Resisting AI slop
Abstract
It’s hard to talk about any topic in science or education today without the subject of artificial intelligence (AI) coming up—whether large language models should be allowed to aid in searching for a scientific paper or even to write or review the paper itself. In some of the wildest speculations, the humans involved in conducting scientific studies and experiments and vetting the results for publication will be steadily eliminated from the process. But when such grandiose rhetoric starts flying, we at Science try to keep calm and carry on in contributing to a robust, human-curated research literature that will stand the test of time.
Fields of Study & Subjects
Genetics
Bioinformatics
and Biomedical Research
Scientific Computing and Data Management
Research Data Management Practices
Publication details
- Journal / source
- Science
- Publisher
- American Association for the Advancement of Science (AAAS)
- Volume
- 391
- Issue
- 6780
- Pages
- 5–5
- Publication date
- 1 January 2026
- Language
- EN