Does training and deploying our AI system generate high CO2 emissions?

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Safety & Environmental Impact Category
Design PhaseModel PhaseDeploy PhaseMonitor Phase
Does training and deploying our AI system generate high CO2 emissions?

AI systems, especially large-scale models, require a lot of computational power. It’s important to consider the environmental impact of building and maintaining your system. Does its scope and the benefits it provides justify its emissions? Are you effectively minimizing CO2 emissions throughout your supply chain?

If you answered Yes then you are at risk

If you are not sure, then you might be at risk too

Recommendations

  • Prioritize renewable energy for data centers.
  • Reduce training time and computational waste by improving model efficiency.
  • Use energy-efficient chips and cooling systems to upgrade hardware.
  • Scale resources according to actual usage to avoid unnecessary deployment.
  • Track your carbon footprint and invest in offsets when needed.

Interesting resources/references