Artificial intelligence meets LCA: a critical analysis from technical, ethical, and organizational perspectives

Abstract excerpt

<title>Abstract</title> <p>Purpose Artificial intelligence (AI) holds strong potential to automate repetitive and data-intensive life cycle assessment (LCA) tasks, thereby reducing costs, enabling scalability, and improving data access. This study critically analyses the integration of AI into LCA from technical, ethical, and organizational perspectives. It aims to evaluate how AI can be implemented across LCA w...

Topics

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• Genetics, Bioinformatics, and Biomedical Research
• Genomics and Rare Diseases
• Nutrition, Genetics, and Disease
• Zoonotic diseases and public health

Identifiers and source

Literature Corpus work

e0e90b0d-62d9-55e2-8785-550549c84658

DOI

10.21203/rs.3.rs-9984806/v1