Understand and communicate your AI related ESG impacts
AI ESG Protocol
Discover • Communicate • Improve

AI and ESG

The relationship between AI and ESG?
AI and data has become key enablers of the digital transformation as they impact a company’s growth and capacity for innovation and value generation. Being able to communicate technology related soft assets to investors and other stakeholders is imperative for allowing markets to correctly value an entity and for enabling good governance.

What is the AI ESG protocol?
The AI ESG Protocol is a tool for systematically evaluating and disclosing a company’s AI and data driven risks and opportunities related to ESG and sustainability. While all companies can use the protocol, it will be particularly relevant for AI and data intensive companies where such technologies and assets are considered material for their stakeholders.
Our services
We provide a digital platform with a number of useful tools for ESG reporting, monitoring, and strategy development and implementation.
REad the article presenting the AI eSG protocol
The article presenting the protocol was published in the journal Sustainable Development, and is available for free through open access.
AI and data are key strategic resources and enablers of the digital transition. Artificial Intelligence (AI) and data are also intimately related to a company’s environment, social, and governance (ESG) performance and the generation of sustainability related impacts. These impacts are increasingly scrutinized by markets and other stakeholders, as ESG performance impacts both valuation and risk assessments. It impacts an entity’s potential to contribute to good, but it also relates to risks concerning, for example, alignment with current and coming regulations and frameworks. There is currently limited information on and a lack of a unified approach to AI and ESG and a need for tools for systematically assessing and disclosing the ESG related impacts of AI and data capabilities. I here propose the AI ESG protocol, which is a flexible high-level tool for evaluating and disclosing such impacts, engendering increased awareness of impacts, better AI governance, and stakeholder communication.
