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SustClimResAI: Conclusion and References

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Table of Contents

Conclusions

Having had time to read and experiment with software and applications, I regard AI and ML as effective methods for prediction that can integrate diverse data to achieve higher performance than conventional methods, but they remain mostly ‘black boxes’ the workings of which are not translatable into real world entities and processes. Like all methods they are limited by data availability, quality, and bias, while outputs vary accuracy, transferability to new situations, and processing costly in effort and energy. AI has huge potential, but its use must be critically evaluated from environmental, social, economic and ethical implications.

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