Oct 27, 2024
Policy Analysis: AI and Sustainability: Climate Impact Monitoring
Parikirt Oggu & Shawn Reginauld
Summary
Organizations are responsible for reporting two emission metrics: direct and indirect
emissions. Reporting direct emissions is fairly standard given activity related to the
generation of such emissions typically being performed within a controlled environment
and on-site, thus making it easier to account for all of the activities that contribute to
such emissions. However, indirect emissions stem from activities such as energy usage
(relying on national grid estimates) and operations within a value chain that make
quantifying such values difficult. Thus, the subjectivity involved with reporting indirect
emissions and often relying on industry estimates to report such values, can
unintentionally report erroneous estimates that misguide our perception and subsequent
action in combating climate change. Leveraging an artificial intelligence (AI) platform
within climate monitoring is critical towards evaluating the specific contributions of
operations within enterprise resource planning (ERP) and supply chain operations,
which can provide an accurate pulse on the total emissions while increasing
transparency amongst all organizations with regards to reporting behavior, to help
shape sustainable practices to combat climate change.
Cite this work:
@misc {
title={
Policy Analysis: AI and Sustainability: Climate Impact Monitoring
},
author={
Parikirt Oggu & Shawn Reginauld
},
date={
10/27/24
},
organization={Apart Research},
note={Research submission to the research sprint hosted by Apart.},
howpublished={https://apartresearch.com}
}
