AI Etiquette at Work: 7 Habits to Protect Professional Credibility

As AI becomes a daily part of professional work, how you use it matters as much as whether you use it. In this course, AI expert Gianluca Mauro shows how to use AI to speed up your work without undermining trust, credibility, or accountability with colleagues. Learn practical habits for staying in control of your thinking, making your expertise visible, and avoiding common pitfalls like overreliance on AI, hallucinations, and generic output. By the end of the course, you’ll be ready to produce higher‑quality work that reflects your judgment, respects your collaborators' time, and strengthens your professional reputation.

Learning objectives
Identify behaviors that build or erode trust when using AI at work, and distinguish between responsible augmentation of judgment and inappropriate offloading of thinking.
Describe how to structure AI-assisted work so your own reasoning, expertise, and accountability remain clear to colleagues and stakeholders.
Apply the PACT framework to decide when and how AI should be used in a professional workflow without compromising credibility or ownership.
Recognize common AI reliability risks (hallucinations, sycophancy, and generic output) and select strategies for verifying, challenging, or refining results before sharing them—prioritizing scrutiny based on potential impact and your level of expertise.
Evaluate AI-generated content from the reader's perspective to determine what should be edited, summarized, or left out so that AI saves time without shifting effort onto others.