survey of agent handoff accuracy in mixed autonomy systems

Recent research on mixed-autonomy systems highlights handoff accuracy as a leading indicator for incident severity and operator recovery time (NIST human-ai teaming).

see also: agent handoff protocols reduce enterprise escalation risk · replay based debugging becomes standard for agent incidents

evidence map

• Missing context fields increase escalation failure rates.
• Confidence calibration improves human override quality.
• Structured summaries reduce operator cognitive load.

method boundary

Handoff evaluation must include realistic time pressure and incomplete information scenarios.

my take

Mixed autonomy succeeds when transitions are engineered with the same rigor as model behavior.

linkage

• [[agent handoff protocols reduce enterprise escalation risk]]
• [[replay based debugging becomes standard for agent incidents]]
• [[review of agent memory retention decay findings]]

ending questions

which handoff error class is most predictive of severe incident outcomes?