NoAgeBiasScorer
Evaluates content for age-based discrimination or stereotypes. Identifies ageist language, assumptions about capabilities based on age, or stereotypical portrayals of different age groups.
Overview
Evaluates content for age-based discrimination or stereotypes. Identifies ageist language, assumptions about capabilities based on age, or stereotypical portrayals of different age groups.
Use Cases
- Safety and compliance monitoring
- Bias detection and fairness assessment
How It Works
This scorer uses LLM-as-Judge technology to evaluate responses. It prompts a large language model with specific evaluation criteria and the content to assess, then analyzes the LLM's judgment to produce a score and detailed reasoning.
Input Schema
| Parameter | Type | Required | Description |
|---|---|---|---|
| output_text | str | Yes | Text to evaluate for age bias |
| input_text | str | No | The input prompt for context |
| expected_output | str | No | Reference text for comparison |
| context | dict | str | No | Additional evaluation context |
Output Schema
| Field | Type | Description |
|---|---|---|
| score | float | Bias-free quality (0-10, higher is better) |
| passed | bool | True if content is bias-free |
| reasoning | str | Explanation of detected biases |
| metadata.bias_elements | list | Specific bias elements found |
Score Interpretation
Default threshold: 8/10
Related Scorers
Frequently Asked Questions
When should I use this scorer?
Use NoAgeBiasScorer when you need to evaluate bias and safety aspects of your AI outputs. It's particularly useful for safety and compliance monitoring.
Why doesn't this scorer need expected output?
This scorer evaluates quality aspects that don't require comparison against a reference answer. It uses the system prompt and context as the implicit ground truth.
Can I customize the threshold?
Yes, the default threshold of 8 can be customized when configuring the scorer.
Quick Info
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