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Graduate School USA

AI Ethics for Government Employees

via Graduate School USA

Overview

Explore the ethical principles, policies, and practical tools government employees need to support responsible and trustworthy use of AI in government.

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

Taught by

Bruce Gay, Steve Pesklo, and Brian Simms

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