Procurement Fairness & Algorithmic Bias
Ensuring AI-driven bidding, scheduling, and workforce tools don’t encode unfair or unsafe incentives.

As algorithms influence subcontractor selection, bid leveling, and staffing, bias and perverse incentives can emerge (eg, optimizing cost at the expense of safety or excluding small/local firms). Responsible deployment requires explainability, auditability, and measurable fairness/safety constraints aligned to policy goals.
TRL
4/9Formative
Impact
4/5
Investment
2/5
Category
Ethics Security