Black Box Agency
An agent that acts on your behalf but won't show its work. You get results with no audit trail.
Black Box Agency takes System Opacity one step further: the agent isn't just reasoning opaquely — it's acting opaquely. It's making API calls, modifying files, sending requests, and making decisions, all behind a curtain. The user sees the end state but not the steps that produced it. This is the difference between opacity in a chatbot (annoying but low-stakes) and opacity in an agent (potentially dangerous). When an agent acts on your behalf without showing its work, you're trusting a process you cannot inspect.
More in System Transparency
System Opacity
The inability to see what an AI system knows, why it made a decision, or what it did. The default state of most AI tools today.
Decision Fog
The user can see the output but not the reasoning, trade-offs, or alternatives the model considered.
Invisible State
The system has internal state that affects behavior but is not exposed to the user.
Accountability Gap
No one — human or system — can explain why a specific output was produced.
Reasoning Visibility
The user can inspect the model's chain of thought, assumptions, and decision points.
Decision Traceability
Every output can be traced back through the reasoning, context, and data that produced it.
Open State
The system's internal state is visible and inspectable at any time. The opposite of Invisible State.
Audit Trail
A complete, immutable record of what the system did, when, why, and with what inputs.