Explore the ethical principles, policies, and practical tools government employees need to support responsible and trustworthy use of AI in government.
Artificial Intelligence is transforming government service delivery, but responsible adoption begins with ethical awareness. This four-hour, interactive training equips government employees with the essential knowledge and tools to navigate AI ethics, manage risk, and support trustworthy technology use in their agencies.
Through real-world government examples and hands-on activities, participants will learn how to identify ethical challenges and apply practical solutions. The course emphasizes actionable strategies that government teams can implement immediately to build public trust and ensure compliance with evolving policies.
Target Audience
Government employees in all roles who work with or oversee AI-enabled systems.
This course includes:
- 4 hours of live, project-based training from experts
- Proprietary workbook included
- Verified digital certificate of completion
- Learn at an accredited institution
- Credits: 4.0 CPEs
- Small class sizes
What You'll Learn at a Glance
- Identify core ethical principles for AI in government government settings
- Assess major risks and challenges related to AI ethics
- Apply practical tools and frameworks to identify and mitigate ethical issues in AI projects
- Navigate the government policy landscape for trustworthy AI adoption
Course Syllabus
What is Artificial Intelligence (AI)?
- Definition and scope of AI
Why Ethics Matters in AI
- Impact of ethical considerations on trust and adoption
The Unique Role of Government Employees
- Responsibilities in ensuring trustworthy AI in government contexts
Core Principles of AI Ethics
- Fairness
- Transparency
- Accountability
- Privacy
- Safety
- Human Oversight
Government Policy Context
- OMB & NIST guidance on AI (e.g., NIST AI Risk Management Framework)
- EO 13960: Promoting the Use of Trustworthy AI in the Government
- FAI/OMB/GAO roles and requirements
Ethical Risks and Challenges
- Examples of risks such as bias, lack of transparency, and unintended consequences
Practical Tools for Ethical AI
- Risk assessment checklists
- Human-in-the-loop practices
- Data governance and documentation
- Procurement and vendor questions
Application to Government Work
- Integrating AI ethics principles into day-to-day responsibilities
How to Build an AI Ethics “Action Plan”
- Steps to create an actionable framework for ethical AI in government agencies
