Information Links
Previous Issues Volume 9, Issue 4 - 2025
Artificial Intelligence in Chemistry: Evaluating Innovations and Risks in Research and Applications
Luisetto M1,*, Edbey K2, Abdul Haamid G3, Mashori GR4, Gadama GP5, Cabianca L6, Latyshev OY7
1IMA Academy, Industrial and Applied Chemistry Branch, Italy
2Professor, Libyan Authority for Scientific Research, Libya
3Professor Hematology Oncology, University of Aden, Yemen
4Department of Medical & Health Sciences for Women, Peoples University of Medical and Health Sciences for Women, Pakistan
5Cypress International, Texas, USA - Malawi Satellite Center, USA
6Medical Laboratory, Città della Salute, Turin, Italy
7President, IMA Academy International, Russia
*Corresponding author: Prof. Luisetto Mauro, IMA Academy, Industrial and Applied Chemistry Branch-29121, Italy, Tel: +39 3402479620, E-mail: [email protected]
Received Date: April 11, 2025
Published Date: November 03, 2025
Citation: Luisetto M, et al. (2025). Artificial Intelligence in Chemistry: Evaluating Innovations and Risks in Research and Applications. Mathews J Pharma Sci. 9(4):54.
Copyrights: Luisetto M, et al. © (2025).
ABSTRACT
Aim: This study evaluates the applications, benefits, and risks of artificial intelligence (AI) in chemical research and industrial practice. Methods: A literature review assessed AI’s role across chemical disciplines, followed by an experimental project testing a publicly accessible AI chatbot’s accuracy in answering fundamental chemistry questions. Results: The literature highlights AI’s transformative potential in drug discovery, materials design, and process optimization but underscores persistent risks, including errors (e.g., "hallucinations") and ethical concerns. In the experimental phase, the chatbot answered 27 of 28 chemistry questions (96.43%) correctly; the error involved an incorrect chemical structure. Conclusion: While AI tools offer significant utility in chemistry, human oversight remains critical to mitigate risks. Accuracy varies by model version and prompt specificity, necessitating cautious adoption in education and research.
Keywords: AI, Machine Learning (ML), Large Language Models (LLMs), Chatbots, Chemistry, Chemical Errors, Hallucinations, Risk Assessment, Scientific Ethics.
