Applicability of Artificial Intelligence in chemical safety
MSDS-Europe – Compass to Chemical Safety – The applicability of artificial intelligence in chemical safety
Artificial intelligence (AI) has also appeared in the chemical industry, so in the field of chemical safety the demand for more efficient data processing and the automation of routine tasks has also emerged.
Preparing Safety Data Sheets with AI
The preparation of safety data sheets has traditionally been a manual, time- and labor-intensive process. AI in the field of chemical safety makes it possible to significantly speed up this process.
AI-based software already exists that can automatically generate SDSs using existing chemical databases and regulatory requirements. This significantly reduces the time and manpower needed to compile these data sheets.
AI-based systems, during the generation of safety data sheets (SDS), take the relevant legislative and standard requirements into account, so the resulting documents can essentially comply with the applicable regulations.
This can be especially effective for newly developed mixtures, where the system works using the latest databases and current regulatory changes.
However, it is important to emphasize that for existing mixtures that already have a safety data sheet, artificial intelligence alone does not ensure full compliance.
In such cases, the safety data sheets must be reviewed and supplemented by a human expert to ensure that any changes, deficiencies, or new regulatory requirements are properly reflected in the updated documentation.
AI-based applications in chemical safety
However, AI supports the field of chemical safety not only in compiling SDSs:
- Classification of hazardous mixtures: AI can help properly classify complex mixtures into the correct hazard class. Using the data of the mixture’s components, the system is able to determine into which hazard categories the mixture should be classified, thereby supporting quick and accurate GHS classification.
- Predictive toxicology models: Using machine learning-based predictive models, the potential health or environmental risks of a new chemical substance can be predicted in advance. Algorithms trained on existing toxicological data are capable of predicting what potential toxic effects a newly developed compound might have. As a result, possible hazards can be identified even before laboratory tests begin, making risk assessment processes faster and more efficient.
The importance of human review
Despite all technological advancements, human expertise remains indispensable. Even though AI can process a vast amount of data, automatically generated SDSs must always be reviewed by an experienced professional.
AI can also make mistakes or misinterpret information; therefore, it is ultimately a human who is responsible for content accuracy and regulatory compliance. For this reason, safety data sheets prepared by AI should only be officially issued or used after expert review.
What should I choose?
Applying artificial intelligence (AI) in the field of chemical safety can bring significant benefits, especially for tasks that require handling large amounts of data or considering complex regulatory requirements.
AI’s speed and data processing capability make it possible to increase work efficiency, but to achieve the best results, prudent use of these systems and review by human experts is indispensable.
Our company continuously explores and develops the possible applications of artificial intelligence within our innovation projects. We are convinced that AI holds outstanding potential in the field of chemical safety, however the current level of technology does not yet allow human expertise to be completely replaced.
Therefore, we closely monitor the development of AI so that in the future we can effectively and reliably integrate the most advanced solutions into our chemical safety services.
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