Artificial Intelligence (AI) in the Chemical Field: Innovation and Risk Evaluation

Article Sidebar

PDF HTML
Submitted: September 12, 2025
Published: Aug 15, 2025
Versions:
2025-08-15 (1)
DOI: 10.29328/journal.aac.1001057
Keywords:
Cannabis, CB1, AI – Artificial Intelligence, ML – Machine Learning, LLM – Large Language Models, Chat Bot, Algorithm, Prompt, Chemistry, Chemicals, Errors, Hallucination, Risk, Precaution, Education, Research, Oncology

Main Article Content

Luisetto M
IMA Academy Industrial and Applied Chemistry Branch, 29121, Italy
Edbey K
Professor, Chemistry Department, Faculty of Science, Al-Asmarya Islamic University, Zilten 00218, Libya
Mashori GR
Professor, Department of Medical & Health Sciences for Women, Peoples University of Medical and Health Sciences for Women, Pakistan
Hamid GH
Professor of Hematology Oncology, University of Aden, Yemen
Gadama GP
Cypress University, International, Texas, Malawi Satellite Center, USA
Cabianca l
Medical Laboratory Turin, Citta della salute, Italy
Latyshev OY
IMA Academy International President, Italy

Abstract

This work aims to verify the various uses of AI in chemical settings and the benefits and risks of using this innovative technology.


AI tools make it possible to have a powerful instrument in study or research, as well as in various chemical disciplines.


After a review of some interesting scientific literature related to some interesting uses of AI and the risks involved, the results of an experimental project involved the use of a famous free AI CHATBOT (question and answer).


The articles reported are involved with some benefits of AI use, but also related to the specific risks.


Crucial in this world is that the results provided must be the right ones, without relevant error or the so-called “hallucinations”.


The results of a specific experimental project using a free AI chatbot show errors in providing one.


Chemical structure: The final human control of the AI results can be a useful method to use in a safe way for this technology today.

Article Details

M, L., K, E., GR, M., GH, H., GP, G., l, C., & OY, L. (2025). Artificial Intelligence (AI) in the Chemical Field: Innovation and Risk Evaluation. Annals of Advances in Chemistry, 9(1), 027–033. https://doi.org/10.29328/journal.aac.1001057
Review Articles

Copyright (c) 2025 Luisetto M, et al.

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Hallal K, Hamdan R, Tlais S. Exploring the potential of AI-Chatbots in organic chemistry: An assessment of ChatGPT and Bard. Comput Educ Artif Intell. 2023;5:100170. Available from: https://doi.org/10.1016/j.caeai.2023.100170

Rossettini G, Rodeghiero L, Corradi F, Cook C, Pillastrini P, Turolla A, et al. Comparative accuracy of ChatGPT-4, Microsoft Copilot, and Google Gemini in the Italian entrance test for healthcare sciences degrees: a cross-sectional study. BMC Med Educ. 2024;24:694. Available from: https://doi.org/10.1186/s12909-024-05630-9

Reed SM. Augmented and programmatically optimized LLM prompts reduce chemical hallucinations. J Chem Inf Model. 2025;65(9):4274–80. Available from: https://doi.org/10.1021/acs.jcim.4c02322

Salvagno M, Taccone FS, Gerli AG. Can artificial intelligence help with scientific writing? Crit Care. 2023;27(1):75. Available from: https://doi.org/10.1186/s13054-023-04390-0

Yang HS, Wang F, Greenblatt MB, Huang SX, Zhang Y. AI Chatbots in Clinical Laboratory Medicine: Foundations and Trends. Clin Chem. 2023;69(11):1238–46. Available from: https://doi.org/10.1093/clinchem/hvad106

Mendez JD. Student perceptions of artificial intelligence utility in the introductory chemistry classroom. J Chem Educ. 2024;101:3547–9. Available from: https://doi.org/10.1021/acs.jchemed.4c00075

Pradhan T, Gupta O, Chawla G. The future of ChatGPT in medicinal chemistry: Harnessing AI for accelerated drug discovery. ChemistrySelect. 2024;e202304359. Available from: https://doi.org/10.1002/slct.202304359

Singh AV, Bhardwaj P, Laux P, Pradeep P, Busse M, Luch A, et al. AI and ML-based risk assessment of chemicals: predicting carcinogenic risk from chemical-induced genomic instability. Front Toxicol. 2024;6:1461587. Available from: https://doi.org/10.3389/ftox.2024.1461587

Ugliengo P, Greco C, De Vivo M. Artificial Intelligence in Chemistry. La Chim Ind. 2025;(2). Available from: https://www.soc.chim.it/sites/default/files/chimind/pdf/2025_2_1000_ca.pdf