Environmental, Social & Governance (ESG) Research Alert
AI Assurance for Guyana's Extractive Sector: A Risk-Based Governance Blueprint for Mining, Environmental Compliance and Worker Protection
Artificial intelligence offers applications in mining efficiency, hazard detection and environmental monitoring, but statutory accountability remains with identifiable decision makers. This paper proposes a consequence-based assurance framework for Guyana's extractive sector, covering risk classification, human oversight, data provenance, validation, explainability and incident escalation. It uses international frameworks as references while clearly separating recommendations from existing legal duties.
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AI governance · Guyana · mining · environment · worker protection
Generative AI tools assisted with research organization, drafting and editing. The author reviewed the final manuscript and takes responsibility for factual verification, analysis, citations and conclusions. The author works in the natural-resources industry. This independent research represents personal views, not official positions of AGM Inc. or any other organization. No direct research-related financial conflict is disclosed. This research was personally funded by the author. No external research grant or institutional funding was received. No DOI, indexing or peer review claimed.