Overview of AI and Environmental Impacts

As AI becomes increasingly embedded in business operations and the broader economy, its environmental implications are drawing heightened concern. However, the AI and environment field is still evolving, with limited standards and significant uncertainty around how impacts vary across hardware, software, and energy sources.

This new resource provides a high-level view of AI’s environmental impacts across the value chain and showcases three best practice examples from the technology sector. It is designed to help companies strengthen their environmental due diligence, inform responsible AI governance, and align sustainability and digital strategy.

Contents: 

Overview of AI and Environmental Impacts and Risks 

1. Environmental Risk Overview: AI Value Chain 
2. Multi-Stakeholder Collaborations on AI and the Environment
3. Responsible AI Best Practices for All Companies

Example Responsible AI Best Practices for Different Types of Tech Companies

1. Large SaaS Company
2. Large Tech Company
3. Consumer Tech Startup

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