Set the Standard: Define What 'Good' Looks Like in an AI World

AI standards in the workplace: practical ethical AI guidelines and accountability Real-world AI best practices for teams, from AI transparency to AI governance and policy Learn how to define what “good” looks like with AI so your team can work faster, safer, and more responsibly

What You'll Learn:

• Clarify why AI standards in the workplace matter and how they reduce risk, rework, and confusion for your team.
• Use three simple yardsticks—Outcome Quality, Process Transparency, and Human Accountability—to judge any AI-assisted work product.
• Draft a one-paragraph, plain-English AI-use declaration that sets clear expectations and satisfies stakeholders and regulators.
• Design a lightweight, tiered review process for mixed human–AI work, including human-in-the-loop and peer-review checkpoints.
• Translate high-level ethical AI guidelines into concrete AI policies for teams that people can actually follow day to day.
• Identify one specific workflow where AI is already in use (or soon will be) and apply these standards to improve quality and accountability.
• Capture key insights from the episode in writing so your team remembers them and can turn them into repeatable best practices.
• Choose and commit to one small action this week to move your organization toward clearer AI governance and responsible use.