A roadmap for more sustainable AI systems | The launch site


Air Date: Aug 19, 2021 at 1:00 p.m. PT

AI has a significant carbon footprint, both during the training and deployment phases. How do we build greener AI systems? The first thing we need to understand is to consider and calculate the carbon impact of all resources that go into the AI ​​lifecycle. So what is the current state of carbon accounting in AI? How effective was it? And can we do better? This conversation will answer these questions and delve into what the future of CO2 accounting in AI looks like and what role standards can play in this, especially if we want to use actionable insights to trigger meaningful behavioral changes.


Abhishek Gupta is a software engineer in the Commercial Software Engineering Group at Microsoft, where he works on solving the toughest technical challenges for Microsoft customers, usually on machine learning projects.

He is also the founder and lead researcher of the Montreal AI Ethics Institute (https://montrealethics.ai), an international non-profit research organization dedicated to democratizing AI ethics literacy.

He chairs the Standards Working Group at the Green Software Foundation (https://greensoftware.foundation), where he works to create an industry-wide consensus on methods and tools for assessing the environmental impact of software systems.

You can find out more about his work at https://atg-abhishek.github.io

Don’t hesitate to connect with him on LinkedIn (https://linkedin.com/in/abhishekguptamcgill)

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