# On the Challenges in Assessing the Sustainability of AI \[Online\]

- Institution: CERN
- Speaker: Raghavendra Selvan
- Year: 2026
- Language: English
- Subjects: Mathematics
- Source: [CERN](https://videos.cern.ch/record/3025616)
- Licence: [CERN](https://copyright.web.cern)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

Recent developments in deep learning have transformed several application domains, including computer vision and natural language processing, with new and exciting possibilities in Artificial Intelligence (AI). These advancements have been enabled, and accelerated, by large scale computations on massive data which also translate into increased energy- and carbon- costs. In this talk, I will present an overview of the factors behind the growing energy consumption and carbon footprint of AI, present techniques to quantify these costs and practices that could improve the environmental sustainability of AI. I will also point out the gaps in regulations and tools needed to assess the sustainability of AI, and suggest some directions to bridge this divide.

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## Lectures

1. [On the Challenges in Assessing the Sustainability of AI \[Online\]](https://invisiblenetwork.ai/learn/cern/3025616/2c26df84b4f4), 1 h 15 min (CERN's player)