Transparency: Being Honest About How You Worked

Trust builds when the people around you know how you actually work. Not in the sense that you narrate every step. In the sense that you are honest about your process, especially when that process involves tools and shortcuts and imperfect information.

In an AI-assisted world, transparency means naming when you used AI. It means saying, explicitly, "I used a tool to help with this, and here is what I did to verify it before sending it out." It means not pretending that the work is hand-crafted if it is not.

This runs against an instinct many of us have. We worry that acknowledging the use of AI will make our work seem less valuable, less genuinely ours. We worry that admitting we used a tool will undermine credibility. But the opposite is true. When you acknowledge that you used AI and that you reviewed it carefully, you are demonstrating that you care about quality. You are showing that you thought about how to use the tool responsibly. You are building trust.

Consider two scenarios. In the first, a manager sends a report to the leadership team with no acknowledgment of how it was produced. It is well-written. It hits all the right notes. Later, it comes out that the entire report was generated by an AI system with minimal human review. The manager loses trust. The organization worries about what else might be opaque. In the second scenario, the manager sends a report with a note that says, "This report was drafted with AI assistance and reviewed for accuracy and appropriateness by me. Here is what I verified, and here are my remaining uncertainties." The organization knows what they are reading. They trust that someone thought about it. They trust the manager more.

Transparency is not about being self-deprecating. It is about being honest. And honesty, over time, is what builds trust.