What are steps we can take to make AI more efficient?
- Improvements to data center cooling: Computers generate heat, and it takes energy to cool the servers on which AI runs. Improving the cooling systems of data centers would reduce the energy consumption attributed to AI.
- Use less data: AI models do not always need to be massive. A smaller model might result in slightly lower accuracy but offer excellent energy efficiency.
- Use renewable energy: Although many data centers already use renewable energy, not all do, and renewable energy isn’t always available. In some locations, increased energy demand has been met with traditional sources with larger greenhouse gas emissions.
- Don’t use AI: As useful as artificial intelligence is, sometimes it isn’t better than traditional methods. In some instances, we might be better off not using AI.
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