Mapping the Landscape of Artificial Intelligence in Life Cycle Assessment Using Large Language Models

Researchers conducted a comprehensive review of artificial intelligence applications in life cycle assessment (LCA) using large language models to analyze trends and patterns. The study found dramatic growth in AI adoption for environmental assessments, with a notable shift toward LLM-driven approaches and strong correlations between AI methods and LCA stages.

• →AI integration into life cycle assessment has accelerated rapidly in recent years with successful machine learning adaptations across LCA stages.
• →Large language models are increasingly being adopted for environmental assessment applications, representing a shift in methodology.
• →The study demonstrates LLM-assisted methodologies can support large-scale, reproducible research reviews across broad domains.
• →Strong statistical correlations exist between specific AI approaches and corresponding life cycle assessment stages.
• →This framework helps LCA practitioners incorporate advanced AI tools to enhance sustainability decision-making processes.