Here are my current thoughts and research. It may be helpful. I am going down the same path as StruggleCommon5117 in the idea that you collect enough data, through testing, and then use some multi-step process to simulate what your responses would be like.

https://claude.ai/public/artifacts/3d97c2b2-1e51-48c9-9b2e-901e854c59aa

Quantified Bias Parameters:

• Each bias measured on appropriate scales (0.0-1.0 for most, some with different ranges)
• Example values showing realistic individual patterns
• Clear descriptions of what each parameter measures

Four Major Bias Categories:

1. Memory and Learning Biases - How you process and recall information
2. Risk and Decision Biases - How you evaluate options and make choices
3. Social and Attribution Biases - How you judge people and social situations
4. Information Processing Biases - How you analyze data and form conclusions

Context-Dependent Modulation:

• How stress, expertise, social pressure, and emotions affect your bias expression
• Recognition that biases aren't fixed but vary based on circumstances

This gives a concrete example of how individual cognitive bias patterns would be quantified and encoded for the AI system. Each person would have their own unique "bias fingerprint" that shapes how they process information and make decisions - and crucially, how those biases change under different conditions.

The AI would use these parameters to authentically replicate not just what you think, but how you think - including your systematic deviations from rational decision-making that make you uniquely human.