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The Missing Links in Agentic AI Autonomy: Why Trust Is the Real Bottleneck
Key Takeaways
- A new Nature Medicine paper, published online 2 October 2026, examines the operational and decisional trust required by agentic AI systems.
- The paper distinguishes between operational trust (reliable functioning in real environments) and decisional trust (whether a system's judgments deserve reliance).
- Agentic systems that plan and act across multiple steps compound errors in ways single-prediction tools do not, raising the stakes for oversight.
- Named gaps include evaluation methods that ignore decision sequences, weak auditability of reasoning, unclear escalation points, and governance frameworks not built for autonomy.
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DT Editorial Team··via nature.com