The rising danger of AI-generated images in nanomaterials science and what we can do about it

Research output: Contribution to journal › Comment/Debate › Contributed › peer-review

Contributors

  • Nadiia Davydiuk - , Leibniz Institute of Polymer Research Dresden (Author)
  • Elisha Krieg - , Chair of Biofunctional Polymer Materials, Leibniz Institute of Polymer Research Dresden (Author)
  • Jens Gaitzsch - , Leibniz Institute of Polymer Research Dresden (Author)
  • Patrick M. McCall - , Leibniz Institute of Polymer Research Dresden (Author)
  • Günter K. Auernhammer - , Leibniz Institute of Polymer Research Dresden (Author)
  • Mu Yang - , Columbia University (Author)
  • Joseph B. Tracy - , North Carolina State University (Author)
  • Sara Bals - , University of Antwerp (Author)
  • Wolfgang J. Parak - , University of Hamburg (Author)
  • Nicholas A. Kotov - , University of Michigan, Ann Arbor (Author)
  • Luis M. Liz-Marzán - , CIC biomaGUNE, Ikerbasque Basque Foundation for Science, University of Vigo (Author)
  • Andreas Fery - , Chair of Physical Chemistry of Polymeric Materials, Leibniz Institute of Polymer Research Dresden (Author)
  • Matthew Faria - , University of Melbourne (Author)
  • Quinn A. Besford - , Leibniz Institute of Polymer Research Dresden (Author)

Abstract

Generative AI has made it trivial to generate fake microscopy images that are indistinguishable from real images, even for experts. As researchers in nanoscience, it is time for us to face this reality and discuss strategies to conserve the integrity of our discipline.

Details

Original languageEnglish
Pages (from-to)1174-1177
Number of pages4
JournalNature nanotechnology
Volume20
Issue number9
Publication statusPublished - Sept 2025
Peer-reviewedYes

External IDs

PubMed 40954352

Keywords

ASJC Scopus subject areas