Mathematical models are often presented as unbiased arbiters of truth, but they frequently encode human prejudices and historical inequities into seemingly objective systems, creating a dangerous facade of fairness while perpetuating systemic discrimination.

Today's mathematical models operate at unprecedented scales, affecting millions of lives while remaining largely invisible and unaccountable. Their complexity and proprietary nature make them difficult to challenge or reform, even when they produce harmful outcomes.

These algorithmic systems create self-fulfilling prophecies by using historical data to predict future outcomes, thereby reinforcing existing social disparities and trapping individuals and communities in cycles of disadvantage.