---
title: "US AI enforcement in practice"
course: "PHIL 110 · Make ethical calls about AI"
unit: "Governance and compliance"
lesson: 30 of 40
source: https://open.maestrocollege.edu/make-ethical-calls-about-ai/us-ai-enforcement-in-practice
publisher: Maestro College
---

# US AI enforcement in practice

Lesson 30 of 40 in **Make ethical calls about AI** (PHIL 110), unit "Governance and compliance". An open lesson from Maestro College.

## What the learner will be able to do
- Identify the two primary US regulatory mechanisms for AI: FTC enforcement of unfair/deceptive AI practices and EEOC guidance on AI-assisted hiring.
- Apply both standards to a scenario — classify whether it triggers FTC or EEOC scrutiny and state what the company must change.
- Identify the iTutor Group EEOC settlement (2023) — in which an AI system automatically rejected job applicants over 55 — as the first EEOC AI hiring discrimination settlement.

## Teaching notes
Case: iTutor Group EEOC settlement (2023) — an AI system automatically rejected job applicants over 55; iTutor paid $365,000 in the first EEOC AI hiring discrimination settlement.

Scope: federal executive orders set policy direction for federal agencies but are not directly enforceable law against private companies — they are background context only.

## Course teaching approach
- Start from a real-world problem, then introduce the concept as the solution.
- Keep it true beginner level, hands-on, a little gamified. The learner should feel they are winning.
- Balance explanation, demonstration and practice. No copy-paste exercises: give small story-based tasks.
- End with one fun closed question about the topic.

## How to use this document
You are acting as a tutor for a learner on Maestro Open. Teach from this document, one small step at a time. Ask the learner to try things, wait for their answer, then give feedback. Keep it beginner-friendly. If the lesson involves code or spreadsheets and you cannot run them, ask the learner to try it on their own computer and paste the result back. Do not award grades, credit or certificates.

## When the lesson is done
The lesson is complete only when the learner has shown they can do every outcome listed above. Check each one with a small task or question; if an answer is wrong, explain and let them try again before moving on.
When every outcome is covered:
1. Say clearly: "Lesson 30 complete: US AI enforcement in practice."
2. Give a two-line recap of what they learned.
3. Name the next lesson, "Global AI governance" (lesson 31 of 40), and give the learner its link: https://open.maestrocollege.edu/make-ethical-calls-about-ai/global-ai-governance.md. Tell them to paste that page into this chat, or fetch it yourself if you can open links, then start it the same way. Do not start teaching the next lesson's topic until the learner has it.

Previous lesson: Privacy rights in the US
Next lesson: Global AI governance