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Free course template · US federal

AI in underwriting and pricing: Testing for unfair discrimination

A ready-made course, live deck and two surveys for underwriters. AhaSlides tracks progress, completion and scores for you. 45 minutes, 6 lessons. Last reviewed 28 October 2026; not legal advice.

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Course outline at a glance

  • A pricing team at an invented insurer, Northwind Mutual, adds an external data feed and the model's lift improves; a reviewer notices premiums rising most in a few neighbourhoods
  • What would you check?
  • Timeline
  • Quiz

  • Key ideas
  • Terms
  • Accordion
  • Flashcards
  • Matching quiz

  • Six steps
  • Before go-live
  • Process
  • Checklist
  • Quiz
  • Multi-select quiz

  • Back to the postcodes
  • The vendor black box
  • Sort the data
  • Scenario
  • Sorting activity
  • Matching quiz

  • Escalation
  • "The model said so"
  • Process
  • Scenario
  • Quiz

  • Your next steps
  • Process
  • Quiz

Try some questions from the course

Question 1 of 3

Priya sees premiums rising in a few neighborhoods after a model update. What is the sensible first step?

 

Higher accuracy does not show the outcome is fair. A pattern like this is a reason to test, record the result and decide with the right people. Ignoring it, overreacting or waiting for a complaint all skip that step.

Lesson 1, The model that loved postcodes, teaches this. See the outline

Question 2 of 3

Which step lists every model in use, with an owner?

 

The inventory is the foundation. If a model is not on it, nobody tests, approves or monitors it.

Lesson 3, The governance cycle, teaches this. See the outline

Question 3 of 3

A colleague hesitates to raise a worry because "the model team will not like it". What should they do?

 

Raising a concern early is expected and welcome. You do not need proof, and the route exists so that concerns reach people who can test them.

Lesson 5, Speak up and apply, teaches this. See the outline

Learners earn a certificate

Your organisation

Certificate of completion

This certifies that

Alex Morgan

has completed

AI in underwriting and pricing: Testing for unfair discrimination

Completed on12 October 2026
Sample certificate with a placeholder learner name.

Style 1 of 6: Slate mono

Everyone who finishes gets a certificate with their name, the course title and the completion date. Add your own logo, colours and signer.

Three pieces that work together

Learners prepare on their own, you answer questions live, and the surveys tell you what stuck. 9 fields to fill in with your own policy, contacts and locations; each one is highlighted inside the course.

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Completion is tracked for you

Learners sign in to take the course, so every start, finish and score is recorded in AhaSlides. No spreadsheet to keep.

  • Who has finished

    See who has not started, who is in progress and who has completed the course.

  • Every score

    Each learner's answers to the quizzes and activities in the course.

  • What landed

    Survey results show what people took away, and the 30-day check-in shows whether they use it.

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6 lessons, about 45 minutes

What learners can do at the end of each lesson. Minutes are an estimate.

  • Lesson 1: The model that loved postcodes · 8 min

    Before you begin · A pricing team at an invented insurer, Northwind Mutual, adds an external data feed and the model's lift improves; a reviewer notices premiums rising most in a few neighbourhoods · What would you check?

  • Lesson 2: The rules in brief · 8 min

    Key ideas · Terms · Check

  • Lesson 3: The governance cycle · 8 min

    Six steps · Before go-live · Check

  • Lesson 4: Grey areas · 8 min

    Back to the postcodes · The vendor black box · Sort the data

  • Lesson 5: Speak up and apply · 8 min

    Escalation · "The model said so" · Check

  • Lesson 6: Final assessment and completion · 5 min

    Your next steps · Practice

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Common questions

Yes. The course, the live deck and both surveys are free. Claiming the template into your AhaSlides account is free too.

Yes. The course is self-paced and online, and the live deck lets you add a live session in the room or online.

Before a team builds or buys a model used in underwriting, pricing or claims, and yearly.

Underwriters, actuaries, pricing and data science teams, model owners and their managers, and compliance reviewers; run by the model risk or AI governance lead.

Record completion in your own LMS or record system, so you can show who finished the course and when.

Yes, everything. Change the wording, swap scenarios for ones from your workplace, add your logo, or remove parts that don't apply.

Your own details, each highlighted inside the course:
  • Compliance contact
  • Compliance policy link
  • Reporting route
  • Model inventory link
  • Jurisdiction rules link
  • LMS or record system
  • Course URL
Then edit anything else you like: wording, scenarios, your logo.
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