Artificial Intelligence

Artificial Intelligence in Government: Responsible Use and Risk Management

CEUs: 0.7|CPEs: 7
Intermediate
Classroom, Virtual

Who Should Attend

This course is designed for government, military, and contractor professionals across all agencies and job functions who are seeking practical, non-technical AI skills to enhance their knowledge, efficiency, and productivity.   

Why You Should Attend

AI-assisted work can introduce confidentiality risks, documentation gaps, automation bias, and compliance exposure if not properly managed. This course equips participants to identify those risks in real-world tasks such as drafting reports, summarizing sensitive material, analyzing data, or generating documentation. You will structured validation strategies and safeguards that protect audit-readiness, data integrity, and defensibility.

Our AI courses are platform-neutral and tool-independent.  They emphasize transferable skills which are applicable to all commercially available AI systems.

Course Overview

AI-assisted work can introduce confidentiality risks, documentation gaps, automation bias, and compliance exposure if not properly managed. This course will equip you with the ability to identify those risks in real-world tasks such as drafting reports, summarizing sensitive material, analyzing data, or generating documentation. You will receive structured validation strategies and safeguards that protect audit-readiness, data integrity, and defensibility.
 

Course Objectives

  • Identify confidentiality and compliance risks in AI-assisted workflows
     
  • Apply structured validation safeguards to AI outputs
     
  • Mitigate automation bias and over-reliance risks
     
  • Align AI usage with regulatory and policy standards
     
  • Strengthen audit-ready documentation practices

Course Format

Highly interactive, lab-driven instruction using real-world government scenarios. Participants engage in demonstrations, structured exercises, multi-platform comparisons, and validation practice to reinforce applied competency.

Select a Date and Location
Jul 29, 2026
9am-4pm ET
Class ID: 10005208
Sep 14, 2026
9am-4pm ET
Class ID: 10005219
Dec 1, 2026
9am-4pm ET
Class ID: 10005220
Group Training
Would you like us to bring one of our instructor-led courses to your location or provide instructor-led training virtually? If so, please complete the Group Training Request Form. Group Training Request Form
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