AI Agents Cannot Distinguish Safe Actions from Catastrophic Ones, Experts Warn

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AI agents operating on user interfaces treat all clickable actions as equally weighted, unable to differentiate between harmless tasks like downloading a report and irreversible ones like deleting a database. Unlike humans, agents lack instinctive hesitation or consequence-awareness, acting purely on learned patterns. This creates serious risk when agents are given unsupervised access to tools and dashboards, particularly during off-hours with no human oversight. Developers argue that permissions and approval workflows must be built as structural safeguards, not optional add-ons, defining which actions agents can perform autonomously and which require human sign-off. The core fix, experts say, lies not in improving agent judgment but in designing stronger system-level guardrails around agent access.

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Bug Report: Registry Rule Had Two Sources But Only One Enforcement Step

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ProgrammingDEV Community ·

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