Dig into the ethical principles, policies, and practical tools professionals need to back responsible, trustworthy AI use in the workplace.
Overview
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
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