research article
A narrowing window to understand AI
June 4, 2026
As capabilities of artificial intelligence (AI) advance rapidly, human understanding of these systems is increasingly falling behind. Several trends are converging to make AI systems harder to understand just as they become more consequential. Without deliberate countervailing efforts, the window for building AI systems that we can meaningfully understand and guide may close beyond recovery.
Type
research article
Author(s)
Horvitz, Eric
Microsoft (United States)
École Polytechnique Fédérale de Lausanne
Date Issued
2026-06-04
Published in
Volume
392
Issue
6802
Start page
1003
End page
1003
Editorial or Peer reviewed
REVIEWED
Written at
EPFL
EPFL units
Available on Infoscience
June 8, 2026
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