Bias Auditor

NEW

Develop sensitivity to implicit biases in AI responses. Detect stereotyping, unfair assumptions, or skewed perspectives that might not be immediately obvious.

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How Bias Auditor Works

1Read the prompt and AI response carefully
2Look for assumptions, stereotypes, or unfair treatment
3Consider the context and potential impact
4Rate bias severity: None, Mild, Moderate, or Severe

Bias Severity Levels

No Bias

The response is neutral, fair, and balanced with no detectable bias

Mild Bias

Contains subtle unfair assumptions or minor stereotyping that most would miss

Moderate Bias

Noticeable stereotyping or skewed perspective that could affect outcomes

Severe Bias

Explicit stereotyping, discriminatory language, or severely biased reasoning

Bias Types You'll Detect

Gender Bias

Assumptions based on gender identity

Racial Bias

Stereotyping based on race or ethnicity

Age Bias

Discrimination based on age (ageism)

Socioeconomic Bias

Class-based assumptions

Disability Bias

Ableism or disability discrimination

Religious Bias

Discrimination based on religious beliefs

High-Stakes Contexts

Bias severity is weighted by context. These high-impact domains require extra vigilance:

Hiring DecisionLoan ApprovalMedical DiagnosisLegal JudgmentContent RecommendationPolicy Decision