AI, Climate Science, and the Loss of Human Judgment

What can a devastating Himalayan avalanche teach us about climate change—and about the growing role of artificial intelligence in scientific research?

In this episode, Dr. David Legates examines claims that a catastrophic 2026 avalanche in Nepal was caused by human-induced climate change. He explains why individual weather and climate events cannot simply be attributed to climate change and puts the disaster in historical context by comparing it with other major glacial and rock-ice avalanches.

But the discussion takes an unexpected turn when Dr. Legates examines the research paper that prompted his investigation. The paper was generated entirely by AI and explicitly acknowledged that it had not undergone peer review or human verification. That raises a much larger question: When AI conducts research and produces convincing scientific prose, who is responsible for the claims it makes?

Dr. Legates discusses both the promise and limitations of AI as a research tool, arguing that AI can be a powerful force multiplier—but that human expertise, critical thinking, and verification cannot be outsourced.

https://www.researchgate.net/publication/413842707_The_Nepal_Avalanche_26_Aug_2026_an_unprecedented_event_A_comparative_historical_assessment

https://www.stimson.org/2026/a-cascading-disaster-on-the-china-nepal-border-what-to-know-about-the-august-2026-rasuwa-flood/

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