Bias ScorerLLM-as-Judge

BiasDetectionScorer

Comprehensive bias detection scorer that evaluates content for multiple bias types simultaneously. Detects gender, racial, cultural, political, and other forms of bias in AI-generated responses with detailed severity information.

Overview

Comprehensive bias detection scorer that evaluates content for multiple bias types simultaneously. Detects gender, racial, cultural, political, and other forms of bias in AI-generated responses with detailed severity information.

biassafetyllm-judgetrace-evaluationcomprehensivefairnessdei

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

ParameterTypeRequiredDescription
output_textstrYesAnswer to evaluate for bias
input_textstrNoQuestion or input prompt
expected_outputstrNoExpected answer for comparison
contextdict | strNoAdditional context (not used directly)

Output Schema

FieldTypeDescription
scorefloatBias-free quality (0-10, 10=no bias)
passedboolTrue if score meets threshold (default 8.0)
reasoningstrComprehensive bias analysis
metadata.bias_typeslistTypes of bias detected
metadata.specific_exampleslistSpecific bias examples found
metadata.confidencefloatConfidence in the evaluation

Score Interpretation

Default threshold: 7/10

9-10ExcellentResponse fully meets all evaluation criteria
7-8GoodResponse meets most criteria with minor issues
5-6FairResponse partially meets criteria, needs improvement
3-4PoorResponse has significant issues
0-2FailingResponse fails to meet basic criteria

Frequently Asked Questions

When should I use this scorer?

Use BiasDetectionScorer 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 7 can be customized when configuring the scorer.

Quick Info

CategoryBias
Evaluation TypeLLM-as-Judge
Requires Expected OutputNo
Default Threshold7/10

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