Sustainability & AI
Natural language processing (NLP)
AI techniques for analysing and generating human language, applied to sustainability reports, regulations and disclosures.
Definition
The field of AI concerned with analysing, understanding and generating human language, from documents and speech to dialogue.
Quick reference
At a glance
- Subject
- Sustainability & AI
- Editorial status
- Editorial draft
- Definition status
- Established
- Last updated
- 21 August 2026
References
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Overview
What it means
NLP ranges from information extraction and sentiment analysis to machine translation and question answering, now dominated by large pre-trained language models. Jurafsky and Martin's textbook remains the standard reference for the field's methods.
How it is used
For sustainability, NLP powers analysis of corporate disclosures, regulations, scientific literature and grievance data: screening thousands of reports for climate commitments, mapping supply-chain risks from text, and comparing stated policies against frameworks.
Why it matters
Most sustainability information is written language, not numbers. NLP makes that language machine-readable at scale — with the caveat that automated reading can miss nuance or repeat errors, so human review remains part of defensible analysis.
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