Safety Engineering

Why this paper matters (for operators, not just researchers) Industrial control stacks (think data center DCIM, grids, water, rail) are hostile terrain for “general” GUI agents: custom widgets, nested hierarchies, air‑gapped deployment, and actions that can actually break things. InfraMind proposes a pragmatic agentic recipe that acknowledges these constraints and designs for them. The result is a system that learns an interface before it tries to use it, then executes with auditability and guardrails. ...

TL;DR As AI agents spread into real workflows, incidents are inevitable—from prompt-injected data leaks to misfired tool actions. A recent framework by Ezell, Roberts‑Gaal, and Chan offers a clean way to reason about why failures happen and what evidence you need to prove it. The trick is to stop treating incidents as one-off mysteries and start running a disciplined, forensic pipeline: capture the right artifacts, map causes across system, context, and cognition, then ship targeted fixes. ...