This content presents 35 ChatGPT prompts designed for sustainability managers to optimize tasks like ESG reporting, carbon accounting, and stakeholder communication. It illustrates how AI tools can accelerate research, writing, and analysis, offering practical examples on GRI Standards and TCFD frameworks.
This paper proposes an auditable climate risk intelligence framework for validating fragmented ESG data, integrating deterministic orchestration, temporal anomaly detection, and imbalance-aware ensemble learning. It introduces a synthetic ESG validation benchmark to support open reproducibility.
This study introduces a novel, AI-driven framework for assessing Environmental, Social, and Governance (ESG) performance in European small and medium-sized enterprises (SMEs). An AI agent system classifies ESG and generates contextual recommendations, demonstrating high consistency with human-derived outputs and supporting the European Green Deal.