Preparing for scientific deepfakes

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Authors: Konrad Hinsen
Cited by: 0

Abstract

By now, most scientists have probably seen figures, tables, and even entire journal articles made by so-called "generative AI", containing more or less subtle mistakes or inconsistencies. What I haven't seen yet, but expect to see soon, is the scientific equivalent of deepfakes: made-up results that come with made-up code that reproduces them. This is likely to become a new challenge for reproducible research.

Fields of Study & Subjects

Academic integrity and plagiarism Academic Publishing and Open Access Misinformation and Its Impacts

Publication details

Publication date
6 March 2026
Language
EN