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Safe AI for Developers: Shipping AI Features Without Shipping the Risk

The Safety Requirements That Land on Engineering Teams

Quiz: The Safety Requirements That Land on Engineering Teams

Threat Modelling an AI Feature Before You Write Code

Quiz: Threat Modelling an AI Feature Before You Write Code

Prompt Injection, Tool Abuse and Untrusted Content Handling

Quiz: Prompt Injection, Tool Abuse and Untrusted Content Handling

Secrets, Personal Data and What Leaves Your Trust Boundary

Quiz: Secrets, Personal Data and What Leaves Your Trust Boundary

Designing Evaluation Gates Into Continuous Integration

Quiz: Designing Evaluation Gates Into Continuous Integration

Writing Test Sets That Represent Real Users and Real Failures

Quiz: Writing Test Sets That Represent Real Users and Real Failures

Guardrails at Input, Output and Tool Call Level

Quiz: Guardrails at Input, Output and Tool Call Level

Structured Output, Schema Validation and Refusal Handling

Quiz: Structured Output, Schema Validation and Refusal Handling

Retrieval Design That Reduces Fabricated Answers

Quiz: Retrieval Design That Reduces Fabricated Answers

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Quiz: Writing Test Sets That Represent Real Users and Real Failures

Safe AI for Developers: Shipping AI Features Without Shipping the Risk
Writing Test Sets That Represent Real Users and Real Failures
Quiz: Writing Test Sets That Represent Real Users and Real Failures

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Question 1 of 5

1. Question

How should a test set for an AI model differ from a test set for traditional software?

AI test sets should be smaller to run faster
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AI test sets must be large, diverse and representative of real production traffic distribution
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AI test sets do not need to include edge cases
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AI test sets should only test happy-path scenarios
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Question 2 of 5

2. Question

What is the purpose of intentionally adding edge cases to a test set?

To make the test set larger
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To slow down model training
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To catch rare but important failure modes before production deployment
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To make the model faster
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Question 3 of 5

3. Question

Why should a test set include demographic representation?

To satisfy hiring requirements
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It allows you to run fairness gates and prevents the model from being optimised only for the majority population
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Demographics are not relevant to model testing
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It is required only for healthcare applications
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Question 4 of 5

4. Question

What should each test case in a labelled test set include?

Only the model input
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Only the expected output
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Both the input and the expected output so correctness can be measured
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Neither; test sets are randomly generated
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Question 5 of 5

5. Question

When should test sets be updated?

Only when a regulator requests it
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Never, test sets are static
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As you discover new failure modes in production and receive feedback on poor performance
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Only after a model fails in production
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