Recognize what AI does
Treat fluent output as a plausible draft rather than guaranteed truth, current research, or human reasoning.
Core workplace AI literacy
Employees practice the decisions that make generative AI useful and defensible—from selecting approved tools and protecting information to verifying output, controlling automated actions, and preserving human accountability.
LEARNING OUTCOMES
This course is designed for employees and contractors who use, evaluate, or encounter AI-assisted work. It focuses on durable judgment rather than instructions for a particular vendor or model.
Treat fluent output as a plausible draft rather than guaranteed truth, current research, or human reasoning.
Match the task, account, permissions, and minimum necessary information to organizational policy.
Confirm sources, calculations, rights, assumptions, and impact with the qualified decision owner.
Limit AI agency, retain meaningful human approval, and report manipulation or unexpected behavior.
COURSE CURRICULUM
Capabilities, limits, plausible output, and the approved-purpose-to-human-review safe-use loop.
Shadow AI, broad permissions, prompts as disclosures, data minimization, and escalation.
Reviewable prompts, marked unknowns, primary-source checks, and accountable subject-matter review.
Consequential uses, qualified oversight, intellectual property, licensing, and normal approval controls.
Untrusted content, excessive permissions, limits, monitoring, reversible actions, and human approval.
Trusted-channel verification followed by ten server-selected scenarios covering every core topic.
BUILD THE SHARED AI BASELINE
Launch AI Fundamentals for Work with one organization training link.