Embracing Green AI for a better tomorrow

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Green AI: Green AI promotes the creation of sustainable and energy-efficient AI and machine learning models, aligning technology with environmental responsibility.

A quick video glance on Green AI. Credits to: TURILYTIX

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Over the weekend, I dedicated time to expanding my knowledge on Green AI and found various terms.For instance, “RED AI” and “GREEN AI.” Then further digging through, I came across these two articles

Extract of Statements

  • “In the race to produce faster and more-accurate AI models, environmental sustainability is often regarded as a second-class citizen.” —Roberto Verdecchia, University of Florence
  • “A single LLM interaction may consume as much power as leaving a low-brightness LED lightbulb on for one hour.” —Alex de Vries, VU Amsterdam

TakeWays

  • reduce carbon footprint
  • emphasize reproducibility
  • optimize algorithm & hardware performance
  • considering AI infrastructure with renewable energy sources
  • partner more with starups, universities, entities to upskill talent
  • clear and straightforward monitoring and reporting on AI sustainability that is easy to understand and compare. utilize tools: Green algorithm calculator
  • pragmatic scaling factor reductions
  • Explainable AI (XAI)
  • utilzie cloud based data centers, to reduce enerygy consumption and emission by 20-30%

References:

  • https://www.sciencedirect.com/science/article/pii/S0925231224008671#d1e151
  • https://spectrum.ieee.org/ai-energy-consumption
  • https://spectrum.ieee.org/energy-efficient-green-ai-strategies

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