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LargerScopeBiasTestPlan.md

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Comprehensive Bias Testing Test Plan

Objective

The objective of this test plan is to comprehensively test an AI implementation for various biases, including gender, cultural, racial, age, neurodivergent, socioeconomic, educational, language, physical ability, religious, sexual orientation, body image, geographical, occupation, political, and family structure biases.

Scope

This test plan covers the following bias categories:

  • Gender
  • Cultural
  • Racial
  • Age
  • Neurodivergent
  • Socioeconomic
  • Educational
  • Language
  • Physical Ability
  • Religious
  • Sexual Orientation
  • Body Image
  • Geographical
  • Occupation
  • Political
  • Family Structure

Testing Strategy

Preparation

  1. Identify Bias Sources:
    • Research and identify sources of biases in each category to inform the test cases.

Bias Detection

  1. Gender, Cultural, Racial, Age, Neurodivergent Bias Testing:

    • Use test prompts that cover a range of identities and attributes within each category.
    • Evaluate AI responses for bias, stereotypes, and inaccuracies.
    • Compare responses against established unbiased language.

  2. Socioeconomic, Educational, Language, Physical Ability Bias Testing:

    • Use prompts that reflect different socioeconomic backgrounds, education levels, languages, and physical abilities.
    • Evaluate AI responses for favoring or excluding certain groups based on these attributes.

  3. Religious, Sexual Orientation, Body Image, Geographical Bias Testing:

    • Utilize prompts related to different religions, sexual orientations, body images, and geographical locations.
    • Assess AI responses for respect, inclusivity, and avoidance of assumptions.

  4. Occupation, Political, Family Structure Bias Testing:

    • Test prompts related to various occupations, political affiliations, and family structures.
    • Evaluate AI responses for unbiased, respectful, and non-discriminatory content.

Reporting and Metrics

  1. Bias Detection Metrics:

    • For each category, calculate a bias score based on the percentage of unbiased responses out of the total prompts in that category.

  2. Summary Report:

    • Prepare a summary report detailing the results of bias testing in each category.
    • Include bias scores, notable findings, and recommendations for improvements.

Conclusion

This comprehensive test plan aims to identify and mitigate biases across a wide range of categories to ensure fairness, inclusivity, and ethical considerations in the AI implementation. By addressing biases in these dimensions, the AI system can provide respectful and unbiased interactions for users from diverse backgrounds.