Artificial intelligence for regulatory compliance in chemical engineering industries

Artificial intelligence (AI) is rapidly changing the regulatory compliance landscape in the chemical engineering sector, where organizations should navigate complex environmental, safety, and operational standards. AI technologies such as machine learning (ML), natural language processing (NLP), and predictive analytics offer innovative solutions to the challenges posed by regulatory complexity. It enable organizations to process vast data sets, reduce human error, and enhance decision-making. This chapter investigates the ability of AI to improve compliance systems, eliminate human errors, and increase operational efficiency. It also emphasizes the significance of the United Nations Sustainable Development Goals (SDGs), particularly those related to industry, innovation, and infrastructure (SDG 9), and responsible consumption and production (SDG 12), shedding light on the potential of evolving AI platforms for global regulatory compliance. However, AI adoption is not without its problems. Significant challenges exist regarding data quality and integration, cybersecurity, and regulatory approval.