Agent Transparency
The user can see what the agent did, why, and what it changed — at any time.
Agent Transparency is the behavioral manifestation of System Transparency at the relationship level. It means the agent doesn't just produce results — it shows its work, explains its decisions, and makes its actions visible to the user without being asked. This isn't about the user demanding accountability; it's about the system offering it by default. Agent Transparency prevents surprises, builds trust through evidence, and enables the user to learn from the agent's process.
More in Human-Agent Relationship
Human-Code Divergence
The gap created between a user and their codebase when an agent mediates all development.
Cognitive Load
The mental burden placed on the human when working with AI systems.
Agency Erosion
Gradual loss of human decision-making authority as agents take over more workflow without checkpoints.
Skill Atrophy
Decay of human technical skills from prolonged delegation to agents.
Automation Dependency
Reliance on agents to the point where the human can't perform the task without them.
Trust Without Verification
Accepting agent output without review — a precondition for Execution Hallucination going undetected.
Confidence Decay
The gradual erosion of user trust as a system repeatedly loses context, hallucinates, or fails to follow through.
Capability Illusion
The user believes the AI can do more than it actually can, leading to over-delegation and undetected failures.