RT info:eu-repo/semantics/article
T1 Artificial intelligence as a scientific copilot in analytical chemistry: Transforming how we write, review, and publish
A1 De La Fuente Ballesteros, Adrián
A1 Samanidou, Victoria
A1 Daryanavard, Seyed Mosayeb
A1 Ares Sacristán, Ana María
A1 Bernal del Nozal, José
K1 Algorithms
K1 Analytical chemistry
K1 Chemometrics
K1 Machine learning
K1 Mathematical methods
K1 2301 Química Analítica
AB Artificial intelligence (AI) is increasingly present across all phases of analytical chemistry, not only in experimental workflows but also in the way scientific writing is produced, evaluated, and published. This perspective offers a critical reflection on the growing use of AI tools as writing copilots in the field, focusing on novel yet underexplored practices such as literature review support, manuscript drafting, and AI-assisted peer review. While tools like ChatGPT, SciSpace, and Grammarly are becoming commonplace in manuscript preparation, their integration also raises important concerns about authorship transparency, originality, and the homogenization of scientific voice. The article highlights both the opportunities and limitations of these technologies. A comparative analysis is presented to summarize the main strengths, weaknesses, opportunities, and threats associated with AI use in scientific communication. This work advocates for the responsible adoption of these tools, the development of ethical guidelines, and the inclusion of AI training in analytical chemistry curricula. By encouraging the scientific community to reflect on these changes collectively, we expect to ensure that AI enhances, rather than undermines, the critical thinking and creativity that define scientific authorship.
PB American Chemical Society
SN 0003-2700
YR 2025
FD 2025
LK https://uvadoc.uva.es/handle/10324/79563
UL https://uvadoc.uva.es/handle/10324/79563
LA eng
NO Analytical Chemistry, 2025, vol. 97, n. 38, p. 20667-20672
NO Producción Científica
DS UVaDOC
RD 05-dic-2025