Artificial Intelligence in Entomology
Abstract:
In the age of artificial intelligence (AI), entomology can harness the potential of AI
for biodiversity monitoring, insect sorting, and morphological analysis. AI-driven technologies
promise to automate labor-intensive tasks and improve data analysis, but they also raise concerns
about scientific integrity and the potential misuse of AI-generated content. As the entomological
community increasingly adopts AI tools, it must carefully balance the benefits of efficiency and
accuracy with the imperative of maintaining scientific integrity and transparency, ensuring that AI
serves as a valuable complement to, rather than a replacement for, traditional research methods
(Summary created with the help of ChatGPT 3.5).
for biodiversity monitoring, insect sorting, and morphological analysis. AI-driven technologies
promise to automate labor-intensive tasks and improve data analysis, but they also raise concerns
about scientific integrity and the potential misuse of AI-generated content. As the entomological
community increasingly adopts AI tools, it must carefully balance the benefits of efficiency and
accuracy with the imperative of maintaining scientific integrity and transparency, ensuring that AI
serves as a valuable complement to, rather than a replacement for, traditional research methods
(Summary created with the help of ChatGPT 3.5).
| Zugehörige Institution(en) am KIT | Institut für Photonenforschung und Synchrotronstrahlung (IPS) Laboratorium für Applikationen der Synchrotronstrahlung (LAS) |
| Publikationstyp | Zeitschriftenaufsatz |
| Publikationsjahr | 2023 |
| Sprache | Englisch |
| Identifikator | ISSN: 1613-0448 KITopen-ID: 1000165302 |
| HGF-Programm | 56.13.11 (POF IV, LK 01) Building Blocks of Life: Structure and Function |
| Erschienen in | Entomologie heute |
| Verlag | Verl. Natur & Wissenschaft Hieronimus & Schmidt |