Uploaded October 2024 | Updated September 2026, 1 hour ago

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Machine learning can be a powerful tool for addressing climate change, particularly when combined with policy, engineering, and other actions. This talk will explore how machine learning aids energy, agriculture, and disaster response by distilling key information, optimizing systems, and accelerating experimentation. However, it’s important to note that machine learning can both help and hinder climate action, with its own computational and hardware footprint.

At this month’s MIT Alumni Forum Professor Priya Donti presents a framework for understanding machine learning’s overall climate impact. She’ll also share insights from her research on integrating renewable energy into power grids using robust machine learning.