Responsible AI Use for Teams™

Module 1: AI at Work: What Teams Need to Understand First™

Module 1: AI at Work: What Teams Need to Understand First™ This module gives learners a realistic foundation for using AI in the workplace. Learners will understand what AI can help with, what AI cannot guarantee, and why team rules matter before staff use AI in daily work. Lessons: Welcome to AI in a Pinch™: Responsible AI Use for Teams™ What AI Can Support at Work What AI Should Not Control Why Team AI Rules Matter The Difference Between Drafting, Deciding, and Approving Module 2: Safe Inputs: What Not to Put Into AI™ This module teaches learners how to protect customer information, employee details, internal business information, pricing, contracts, client files, and sensitive data before using AI tools. Lessons: What Safe AI Input Means Customer and Client Information Risks Employee, Financial, and Internal Business Information Confidential Documents, Contracts, and Private Files How to Remove or Generalize Sensitive Information Before Prompting Module 3: Better Prompts With Business Context™ This module teaches teams how to create clearer prompts using business context, audience, goal, tone, format, and boundaries instead of vague or random requests. Lessons: Why Random Prompts Create Risky or Generic Outputs Add Business Context Before Asking AI to Work Define the Audience, Goal, and Output Add Tone, Format, and Boundaries Build a Safer Team Prompt Example Module 4: Human Review Before Use™ This module helps learners build a review habit before using AI-generated work. Learners will check AI outputs for accuracy, privacy risk, tone, brand fit, missing information, customer impact, and approval needs. Lessons: Treat AI Outputs as Drafts Review for Accuracy and Missing Information Review for Privacy, Risk, and Sensitive Details Review for Tone, Brand Voice, and Customer Fit Know When Manager Approval Is Needed Module 5: Brand Voice and Customer Communication™ This module helps teams avoid generic, robotic, exaggerated, or off-brand AI communication. Learners will understand how to protect the business voice when using AI for emails, posts, replies, proposals, and customer-facing messages. Lessons: Why Brand Voice Matters in AI-Assisted Work What Generic AI Communication Looks Like Protecting Tone in Customer Emails and Replies Avoiding Hype, Pressure, and Unsupported Claims Using AI Without Losing the Human Business Voice Module 6: Bias, Hallucinations, and Misinformation™ This module teaches learners how AI can produce wrong, biased, outdated, incomplete, or overconfident responses. Learners will understand why fact-checking and human judgment are required before acting on AI output. Lessons: What AI Hallucinations Are Why AI Can Sound Confident and Still Be Wrong Bias, Assumptions, and One-Sided Responses Fact-Checking Before Use When AI Output Should Not Be Used Module 7: Team Rules, Workflow, and Daily Use Checklist™ This module turns the course into practical workplace habits. Learners will review safe-use rules, approval paths, daily checklists, and team standards for responsible AI use. Lessons: Create Simple Team AI Rules Decide Which AI Tasks Are Allowed, Reviewed, or Restricted Use the Responsible AI Team Checklist™ Build a Basic AI Review Workflow Final Review and Team Commitment