AI Algorithm Transparency and Bias Assessment

The contract requires an independent evaluation of artificial intelligence and machine learning models used in prior-art search and office action generation, with a focus on transparency, explainability, and the absence of bias in their outputs. The assessment must ensure that algorithmic decisions are interpretable and fair, particularly in contexts where accuracy and neutrality directly impact patent examination processes. The work is to be performed at a location in Alexandria, Virginia, with a NAICS code of 541690 indicating it falls under other scientific and technical consulting services. This is a subcontract under the Department of Commerce, Patent and Trademark Office, and the solicitation was posted on June 29, 2026. While no set-aside classification or specific point of contact is provided, the emphasis is on rigorous, objective analysis of AI systems to uphold the integrity of patent offices' automated functions. The evaluation must deliver actionable findings that support accountability, regulatory compliance, and public trust in AI-driven patent systems, without reliance on proprietary or opaque methodologies.