0:00-0:10 Welcome, objectives, and recap of practical AI workflows.
0:10-0:25 Mini-lesson: privacy, confidential information, account security, and safe data handling.
0:25-0:45 Activity: classify sample prompts as low, moderate, or high risk based on the information being shared.
0:45-1:05 Mini-lesson and discussion: bias, hallucinations, misinformation, and why AI outputs require human review.
1:05-1:25 Hands-on practice: evaluate an AI-generated answer for unsupported claims, missing context, and questionable citations.
1:25-1:40 Mini-lesson: copyright, attribution, acceptable use, and workplace or school policy expectations.
1:40-1:55 Responsible-use checklist: learners apply a review checklist to a scenario related to their final project.
1:55-2:00 Wrap-up, questions, and preparation for the final AI-assisted project showcase.
Requirements
Learners should bring a laptop or tablet with internet access, access to an approved AI tool if available, and a draft idea for their final AI-assisted project. Instructor should provide sample AI outputs, fact-checking scenarios, and a responsible-use checklist.
