Artificial intelligence can be stable while still making errors

A new observation tool reveals a previously underappreciated paradox: artificial intelligence systems can display great stability in their operation while still committing recurring and predictable errors.

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The fact

This discovery, documented this week by researchers, challenges classical assumptions about the reliability of AI models.

The implications for safety and trust in deployed AI systems raise important issues for future deployment.

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