Machine learning models are being deployed across the Colorado River basin to forecast water flows and simulate reservoir strategies under various future scenarios, helping stakeholders make informed decisions amid severe drought conditions. These tools provide critical visibility into potential outcomes but cannot resolve the ethical dilemma of allocating scarce resources among competing interests. Developers should watch how these technologies facilitate collaborative decision-making processes despite their limitations in predicting a single probable future.
Read the full article at IEEE Spectrum
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