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X-WR-CALNAME;VALUE=TEXT:Uncertainty in AI: Solution or Obstacle for Climate Action?
PRODID:-//Harvard events data//EN
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UID:event_1931726_0
SUMMARY:Uncertainty in AI: Solution or Obstacle for Climate Action?
DESCRIPTION:<p><span>Artificial Intelligence is revolutionizing research, education, and business—unlocking unprecedented opportunities across climate, health, and beyond. In the Dominici Lab, they’re developing the first foundation model for healthy climate adaptation, pre-trained on the complete US Medicare dataset and enriched with nationwide Census, weather, and pollution data. This model enables powerful “what-if” scenario forecasting, using synthetic ground-truth data to validate counterfactual predictions and guide impactful climate actions. Yet, this AI-driven progress comes at a cost: energy-hungry data centers power these advances, raising concerns about their environmental footprint and the paradox of AI’s growing electricity demand in a world striving to reduce fossil fuel reliance. In this talk, Dr. Dominici will share insights from their work and explore AI's uncertain, double-edged role in the fight against climate change.</span></p>
LOCATION:Zoom
STATUS:CONFIRMED
DTSTART:20260302T220000Z
DTEND:20260302T230000Z
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