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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: Structured Output, Schema Validation and Refusal Handling

Safe AI for Developers: Shipping AI Features Without Shipping the Risk
Structured Output, Schema Validation and Refusal Handling
Quiz: Structured Output, Schema Validation and Refusal Handling

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Question 1 of 5

1. Question

What is structured output and why is it important for AI safety?

Structured output is any output longer than 100 words
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Structured output means defining a schema that constrains what the model can return, making output predictable and preventing it from going off-piste
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Structured output is only needed for healthcare applications
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Structured output slows down inference
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Question 2 of 5

2. Question

How does schema validation defend against prompt injection attacks?

It does not; prompt injections cannot be stopped
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If the model is tricked into returning confidential information, and that information does not fit the defined schema, validation rejects it
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It requires the user to enter a password
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It encrypts the user's input
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Question 3 of 5

3. Question

What does ‘fail closed’ mean in the context of schema validation?

The system stops working entirely
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The application returns an error to the user without trying to execute an invalid response
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The validation is disabled for safety
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The model is prevented from refusing requests
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Question 4 of 5

4. Question

How should the application respond when a model correctly refuses a request?

Return a vague error message and log nothing
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Tell the user the model cannot help, optionally explain why, and offer an alternative if relevant
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Force the user to rephrase the question
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Disable the model
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Question 5 of 5

5. Question

What is the difference between a true refusal and a false refusal?

There is no difference
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A true refusal is when the model correctly identifies harmful requests and does not answer; a false refusal is when the model refuses legitimate requests it should answer
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A false refusal is more important than a true refusal
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Only true refusals need to be logged
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