Phase I: A Global Assessment of AI & Climate Regulatory Standards & Policies
Situation
Our client was looking to better understand the shifting global regulatory and policy landscape related to artificial intelligence’s (AI) environmental impact.
Objective
The objective was to map existing and emerging AI sustainability standards & policies, assess the process flow of how those policies are being developed, and understand how organizations are positioning themselves in AI sustainability.
Our Work
10EQS sourced global subject matter experts from standard-setting organizations, regulatory agencies, and hyperscale policy teams, as well as sustainability leads within major technology companies. 10EQS further screened and qualified candidates ensuring their knowledge of industry shifts and upcoming regulations.
Project team
- 10EQS Delivery Operations (=PMO) providing quality assurance, process management and expert recruitment
- 5 industry experts
Industry experts (excerpt)
- Vice Chair – Standard-Setting Organization (UK)
- ESG Policy & Planning Director – Corporate Company (Singapore)
- General Director – Standard-Setting Organization (Europe)
- Co-Chairman – Standard-Setting Organization (Italy)
- Technical Expert Member for AI ISO/IEC JTC1/SC42 – Standard-Setting Organization (UK)
Timeline: 1 week
Results
The insights provided our client with a global overview of the regulatory and standardization landscape shaping the environmental impact of AI. As a result, our client was able to prioritize internal efforts around energy efficiency, emissions tracking, and alignment with upcoming global standards and policy initiatives, proactively preparing them for compliance and engagements across key global markets, including the U.S., EU, and Asia-Pacific.
Phase II: A Global Assessment of AI & Energy Efficiency Regulatory Standards & Policies
Situation
Our client was looking to better understand how organizations are addressing AI’s environmental impact in practice. They aimed to understand real-world challenges, overlooked drivers of energy use, and the feasibility of emerging sustainability interventions – from software efficiencies to new measurement frameworks.
Objective
The objective was to contribute to phase I and assess leading practices and pain points in measuring and reducing the environmental impact of AI models; and validate the potential for a unified sustainability metric to support future policy and corporate reporting frameworks.
Our Work
10EQS sourced a diverse group of global subject matter experts, including AI and sustainability leads from major corporations, founders and senior executives from innovative AI startups, as well as researchers and technical advisors with deep expertise in AI efficiency. Each expert was rigorously screened to ensure up-to-date knowledge of industry developments and emerging regulatory trends.
Project team
- 10EQS Delivery Operations (=PMO) providing quality assurance, process management and expert recruitment
- 10 industry experts
Industry experts (excerpt)
- Artificial Intelligence Expert Consultant & Engineer – Large Streaming Company (Canada)
- Responsible AI Governor/ Al Associate Professor/AI Mentor – AI Startup/Key Player (Mexico)
- Senior Director AI/ML – Corporate Company (US)
- Vice President, Artificial Intelligence – Large Healthcare Company (US)
- Chief Executive Officer – AI Startup (US)
- Senior Product Manager of AI & CTO – Large Industrial Company (Germany)
- CEO Spain & Global AI Director – Biotech Company (Spain)
Timeline: 1 week
Results
Building on the foundational insights from the first phase, which focused on regulatory and policy landscapes, this second phase equipped the client with a practical understanding of how organizations are actively addressing AI’s environmental impact through real-world strategies and operational decisions.