Compare service benefits with energy impacts before: Which decision approach is most defensible?
Compare service benefits, resource impacts, and uncertainty rather than optimizing one metric.
The question
Under the organization's internal AI selection policy, an education administrator is choosing an AI scheduling system. One option improves course access but requires substantially more computing energy; evidence about long-term environmental effects and scheduling benefits is incomplete. Which decision approach is most defensible?
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- Choose the system using fewer computing resources.Lower resource use is relevant, but it may sacrifice meaningful access benefits without comparing both consequences.
- Choose the system with better access outcomes.Access benefits matter, but selecting solely on that metric overlooks material environmental resource impacts and uncertainty.
- Compare service benefits with energy impacts before selecting the system. ✓The decision should weigh educational outcomes and environmental resources while documenting how uncertainty and competing impacts influence selection.
- Postpone selection until all environmental evidence is complete.Better evidence is valuable, but waiting for completeness may be impractical and does not itself establish a decision framework.
The trap
When benefits and resource impacts pull in different directions, compare both rather than selecting by one metric. How to remember it
Compare service benefits, resource impacts, and uncertainty rather than optimizing one metric.
How many of these would you get right?
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