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AI Guardrails Engineering: Blocking Bad Output Without Breaking the Good

What a Guardrail Is and Where It Sits in the Request Path

Quiz: What a Guardrail Is and Where It Sits in the Request Path

Writing a Policy Before Writing a Filter

Quiz: Writing a Policy Before Writing a Filter

Input Guardrails: Injection, Off Topic and Abuse Detection

Quiz: Input Guardrails: Injection, Off Topic and Abuse Detection

Output Guardrails: Toxicity, Personal Data and Unsafe Advice

Quiz: Output Guardrails: Toxicity, Personal Data and Unsafe Advice

Rule Based Checks, Regular Expressions and Their Blind Spots

Quiz: Rule Based Checks, Regular Expressions and Their Blind Spots

Classifier Based Guardrails and Threshold Selection

Quiz: Classifier Based Guardrails and Threshold Selection

Model Based Critics and the Cost of a Second Call

Quiz: Model Based Critics and the Cost of a Second Call

Schema Validation, Structured Output and Repair Loops

Quiz: Schema Validation, Structured Output and Repair Loops

Grounding Checks: Does the Answer Match the Retrieved Source?

Quiz: Grounding Checks: Does the Answer Match the Retrieved Source?

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Quiz: Grounding Checks: Does the Answer Match the Retrieved Source?

AI Guardrails Engineering: Blocking Bad Output Without Breaking the Good
Grounding Checks: Does the Answer Match the Retrieved Source?
Quiz: Grounding Checks: Does the Answer Match the Retrieved Source?

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Question 1 of 5

1. Question

What is the main purpose of grounding checks in AI systems?

To improve the speed of AI response generation
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To prevent AI systems from producing unverified or false information
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To reduce the cost of data storage for AI models
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To increase the number of documents retrieved by AI systems
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Question 2 of 5

2. Question

Which of the following is an example of a grounding check failure in a customer service AI?

The AI provides a generic response to all user queries
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The AI claims an error message exists in version 3.2 when only version 4.1 is mentioned in documents
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The AI uses formal language throughout its responses
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The AI correctly identifies the software version mentioned in the documents
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Question 3 of 5

3. Question

What type of validation ensures that numerical data in AI responses matches the source documents?

Content consistency checks
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Temporal accuracy verification
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Statistical consistency checks
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Fact-based validation
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Question 4 of 5

4. Question

In the context of a banking AI system, what would trigger a grounding check failure?

The AI uses a different format for presenting credit scores
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The AI estimates a credit score that differs from the one in the customer files
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The AI includes a disclaimer about data accuracy
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The AI summarizes the customer's financial history correctly
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Question 5 of 5

5. Question

Which of the following is a key requirement for AI systems in legal research assistants according to the lesson?

The AI must always provide multiple interpretations of court rulings
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The AI must not introduce reasoning not found in the original documents
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The AI must add explanatory notes to every legal decision
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The AI must rewrite statutes in simpler language
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