Enduring Physics in an AI-Driven Era

1 min read
Source: Quanta Magazine
Enduring Physics in an AI-Driven Era
Photo: Quanta Magazine
TL;DR Summary

Physicist Sarah Demers of Yale discusses how AI can accelerate experimental work (e.g., Mu2e at Fermilab) and data analysis in particle physics, while raising concerns about attribution and intellectual-property in AI tools. She’s helping draft an American Physical Society policy on AI use, emphasizes preserving the core practices of physics, and notes she personally avoids using language models for writing emails; the piece also highlights the Genesis Mission funding that supports AI-enabled scientific workflows and contemplates how AI may reshape training and collaboration in the field.

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