Autonomy and Agency in Agentic AI: Architectural Tactics for Regulated Contexts

ArXi:2605.12105v1 Announce Type: new Deploying agentic AI in regulated contexts requires principled reasoning about two design dimensions: agency (what the system can do) and autonomy (how much it acts without human involvement). Though often treated independently, they are coupled: at higher autonomy, human error correction is less available, so reliable operation requires cons