# AI Ethics for Employees

Canonical URL: <https://training-nyc.com/courses/ai-ethics-for-employees>

## Overview

The workplace is being reshaped by artificial intelligence, yet ethical awareness is where responsible adoption begins. This interactive training hands participants the knowledge and tools required to work through questions of AI ethics, keep risk under control, and back trustworthy use of AI in professional settings.

Real-world examples and hands-on activities teach participants to spot ethical challenges and respond with practical solutions. The strategies presented are meant for immediate use, helping teams earn trust and keep pace with policies that continue to change.

## What you'll learn

- Name the core ethical principles that responsible AI use rests on.
- Weigh the major risks and challenges that AI ethics raises.
- Use practical tools and frameworks to surface ethical issues in AI projects and reduce them.
- Grasp the policy considerations behind trustworthy AI adoption.

## Curriculum

#### Module 1: Understanding AI and Why Ethics Matters

- Define AI and its common applications in government
- Recognize how AI affects decision-making, public trust, and fairness
- Explain why ethics is critical in government AI systems

#### Module 2: Federal Policy and Governance Context

- Identify federal guidance and policies shaping AI ethics
- Interpret how agencies implement EO 13960 and NIST AI RMF (Risk Management Framework)
- Understand FAI, OMB, and GAO roles in promoting responsible AI

#### Module 3: Ethical Risks, Challenges, and Practical Tools

- Identify common ethical risks in AI projects
- Use practical tools to detect and mitigate risks
- Describe best practices for data governance and human oversight

#### Module 4: Applying AI Ethics to Federal Work

- Integrate ethical AI principles into daily federal workflows
- Create an AI ethics "Action Plan" for your agency or team
- Identify steps to sustain ethical culture and accountability

## Schedule
- Aug 28, 2026 8:00am–12:00pm — NYC
- Sep 29, 2026 1:00pm–5:00pm — NYC
- Oct 20, 2026 1:00pm–5:00pm — NYC

## Pricing

**Tuition:** $675