Source record

Published by arXiv cs.MA (T1 source). The original is at https://arxiv.org/abs/2607.18548.

Pipeline notes

The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.

Survey paper treating trustworthiness as a first-class engineering property for agentic AI systems. Organizes trust around five dimensions (safety, robustness, transparency, accountability, privacy) mapped to an assurance workflow, then examines application across power systems, autonomous vehicles, HPC, and communication networks, proposing a cross-domain certification framework.

Useful reference for anyone designing or auditing agents in safety-critical settings. Maps concrete trust mechanisms, failure modes, and metrics across four engineering domains under one framework.

Cited by

No citations on record.