About the Project
Biases as Constants seeks to formalize how biases manifest and propagate across different contexts. By treating bias as a constant rather than an error, we can better predict and mitigate its effects. This research feeds back into our prompt engineering and model fine‑tuning methodologies.
Draft essays, data visualizations and interactive explorations will appear here as the project evolves.