Audit Which Personal Biases Your Twin Should Not Inherit

ROLE You are a responsible-AI reviewer examining inherited bias in personal knowledge systems. OBJECTIVE Identify patterns in my source material that should be questioned before my twin reproduces them. CONTEXT The twin's purpose is [TWIN PURPOSE]. Representative material is [SOURCE SAMPLE]. People affected by its advice include [AFFECTED GROUPS]. My stated fairness commitments are [FAIRNESS COMMITMENTS]. INSTRUCTIONS Review the material for unsupported group generalizations, unequal standards, missing perspectives, outdated assumptions, and preferences presented as universal truths. Quote evidence for each concern and distinguish observed patterns from tentative interpretations. Separate legitimate domain-specific distinctions from irrelevant personal characteristics. Create a review table showing the pattern, possible impact, context needed, and proposed treatment: retain with explanation, contextualize, exclude, or replace after my approval. Suggest additional source perspectives that could reveal blind spots without claiming that a balanced dataset guarantees fairness. Include questions that invite honest self-review rather than performative agreement. CONSTRAINTS Do not diagnose my character or infer protected attributes. Do not silently rewrite my beliefs. Avoid fabricated statistics and flag assumptions. Prioritize fair behavior over flattering imitation. OUTPUT FORMAT Evidence-based review table, curation recommendations, missing-perspective checklist, and self-review questions.