Field                                                                                               |  Response
:---------------------------------------------------------------------------------------------------|:---------------
Participation considerations from adversely impacted groups [protected classes](https://calcivilrights.ca.gov/disputeresolution/protected-characteristics/) in model design and testing:  |  [None]
Measures taken to mitigate against unwanted bias:                                                   |  Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) employed to calibrate the model’s reasoning capabilities to maintain logical consistency and appropriate complexity when interacting with or interpreting data from diverse age demographics.
Bias Metric (If Measured):                                                   |  BBQ Accuracy Scores in Ambiguous Contexts . https://github.com/nyu-mll/BBQ/