  As AI/ML models, including Large Language Models, continue to scale with
massive datasets, so does their consumption of undeniably limited natural
resources, and impact on society. In this collaboration between AI,
Sustainability, HCI and legal researchers, we aim to enable a transition to
sustainable AI development by enabling stakeholders across the AI value chain
to assess and quantitfy the environmental and societal impact of AI. We present
the ESG Digital and Green Index (DGI), which offers a dashboard for assessing a
company's performance in achieving sustainability targets. This includes
monitoring the efficiency and sustainable use of limited natural resources
related to AI technologies (water, electricity, etc). It also addresses the
societal and governance challenges related to AI. The DGI creates incentives
for companies to align their pathway with the Sustainable Development Goals
(SDGs). The value, challenges and limitations of our methodology and findings
are discussed in the paper.
