Responsible AI in Sustainability: Risk Framework and Governance
In this webinar, Cheryl Baldwin, Ph.D., Vice President of Sustainability Consulting, Pure Strategies, shared a practical framework for implementing responsible AI while protecting the integrity of your sustainability program and regulatory disclosures with The International Electronics Manufacturing Initiative, INEMI. They are a non-profit R&D consortium that brings together global electronics manufacturers, suppliers, universities, and government agencies to forecast technology needs, close infrastructure gaps, and drive industry-wide manufacturing standards.
As sustainability requirements evolve from voluntary commitments to regulatory obligations, organizations increasingly rely on AI to accelerate data analysis, calculations, reporting, and horizon scanning. But without proper AI governance, teams risk inaccurate data, misinterpreted regulations, and unsupported claims.
You’ll learn:
- Key AI risks specific to corporate sustainability activities
- A practical framework for assessing AI use cases by risk level
- How to align controls with risk: approved tools, source validation, human review, and documentation standards
Best for: Sustainability teams, ESG leads, and compliance officers navigating AI adoption in climate, nature, and circularity programs.
