Why invisible gases require artificial intelligence to be measured
In short: Greenhouse gases are naturally difficult to track because they lack color, scent, and visibility. Charlotte Degot explains how green technology is leveraging AI to turn massive, complex datasets into actionable climate targets for corporations.
Because emissions are essentially invisible, traditional measurement methods often fall short. Degot highlights artificial intelligence as a primary tool for overcoming this hurdle, allowing for the processing of vast amounts of carbon data.
The goal of using AI in this context is threefold: it enables corporations to establish meaningful climate goals, provides a way to track progress with higher precision, and ultimately facilitates the reduction of pollution over time.
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Sources
- Summary by Intellect · source: Charlotte Degot: A more accurate way to calculate emissions | TED
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