Bias Mitigation and Algorithmic Fairness Framework

The contract seeks to design and implement strategies for detecting and mitigating bias in data ingestion and prioritization algorithms, with the goal of ensuring fair, transparent, and auditable decision-making outputs. The work focuses on enhancing algorithmic fairness within systems that influence critical operational outcomes, requiring robust technical approaches to identify systemic biases, validate mitigation techniques, and establish documented audit trails that support accountability and compliance with ethical AI standards. The project demands expertise in data science, algorithmic auditing, and fairness-aware machine learning, with deliverables that must be actionable, scalable, and aligned with defense sector requirements. This is a subcontract under the NAICS code 541690, issued by the Department of Defense through the Air Force Reserve Command headquartered at Warner Robins, Georgia, with a performance location set at zip code 31098. The solicitation was posted on April 29, 2026, and responses are due by May 4, 2026, at noon Eastern Time. The contract type specifies a subcontract relationship, indicating it is part of a larger procurement effort, though no set-aside classification or organizational type is provided. The work is expected to align with federal obligations for equitable technology use and will likely involve coordination with internal compliance or oversight units to ensure deliverables meet the Department of Defense’s standards for ethical AI and operational integrity.