Generative AI can help with everyday work, but what employees enter and trust matters. Learners examine risks such as sharing sensitive information, relying on unchecked outputs, or using unapproved tools. The course develops practical habits for protecting company and customer data while using AI responsibly, then gives learners a chance to apply them in a scenario-based microLab.

Participants in this course will learn the following:

• Recognize the risks of sharing sensitive data with GenAI tools. Learners identify information that should not be entered into public or unapproved AI systems.
• Use approved AI tools and company guidance. Learners understand why tool selection, account type, and data handling rules matter.
• Review AI outputs before using or sharing them. Learners check for accuracy, bias, confidentiality issues, and inappropriate content.
• Avoid overreliance on AI-generated answers. Learners keep human judgment in the loop, especially for legal, financial, security, HR, or customer-impacting decisions.
• Report unsafe AI behavior or accidental exposure. Learners know when to escalate concerns involving sensitive data, suspicious outputs, or policy violations.