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September 29, 2025Open Access

Judging It, Washing It: Scoring and Greenwashing Corporate Climate Disclosures using Large Language Models

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This analysis reveals how large language models assess emissions targets, highlighting greenwashing risks.

The LLMJ scoring systems effectively distinguish between high and low-performing companies involved in climate disclosures.
Two scoring methods, numerical rating and pairwise comparison, were tested for effectiveness and robustness against greenwashing.
The pairwise comparison method proved more resilient to manipulation by LLM-greenwashed responses in evaluations.
Our findings reveal potential for large language models to streamline corporate climate accountability while highlighting greenwashing tactics.

Chuang et al. (2025) studied this question.

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