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This Subcontract opportunity from Department Of Veterans Affairs was posted on August 24, 2026. The submission period has ended. Browse the details below for market research, or find similar active opportunities.

AI Model Bias Evaluation and Governance Services

Closed
Federal

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The AI Model Bias Evaluation and Governance Services subcontract, issued by the Department of Veterans Affairs Technology Acquisition Center Nj, focuses on the testing and evaluation of Large Language Models within the LEAF platform. The selected provider will utilize data science expertise and AI ethics standards to conduct bias evaluations through prompt pairs, measure model accuracy using benchmark scoring, and establish enterprise-level governance controls and citation features. Key deliverables include comprehensive bias evaluation reports and detailed governance documentation. This opportunity, categorized under NAICS code 541690, requires a response by September 8, 2026, to support prime contractors in ensuring the reliability and ethical deployment of AI models for the agency.

General Info

VA subcontract for AI model bias evaluation, governance controls, and LEAF platform testing.

NAICS

541690 - Other Scientific and Technical Consulting Services

Place of Performance

NJ

Set-Aside

NONE

Documents

This scope was carved out of 36C10B26Q0790.

The full solicitation package (5 documents), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

DA01--Light Electronic Action Framework Platform Support Services (VA-27-00002271)

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Timeline

PhaseClosed
Posted

subcontract

Response Deadline

Deadline has passed

Submission Closed

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Organization & Contact Information

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AgencyDepartment Of Veterans Affairs → Technology Acquisition Center Nj (36C10B)
ContactsNo contacts available
OfficeN/A
Office AddressN/A
ContactsNo contact information available

Full Description

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Performs testing and evaluation of Large Language Models (LLMs) for prime contractors on Department of Veterans Affairs (VA) LEAF platform projects. Conducts bias evaluations using prompt pairs, measures model accuracy via benchmark scoring, and develops enterprise-level governance controls and citation features. Requires AI Ethics standards and Data Science expertise. Delivers bias evaluation reports and governance documentation.

More opportunities from Department Of Veterans Affairs → Technology Acquisition Center Nj (36C10B)

Same awarding agency

NAICS: 541519
New
Federal
R499--New Task Order - Qualtrics FedRAMP Survey Services (VA-26-00082605)
Solicitation # 36C10B27Q0107
The Department of Veterans Affairs Technology Acquisition Center is seeking information for a new task order to provide an integrated digital solution featuring Qualtrics FedRAMP survey services and Sestek KnowVU Virtual Agent capabilities. This solution will support up to 5,400 Orlando VA HCS users and employees, encompassing implementation and integration with VA Orlando systems and third-party APIs, survey-related support, and a large language model capacity of up to one billion tokens per contract year. The project is structured with one 12-month base period and four optional 12-month extension periods, with performance conducted remotely within an approved FedRAMP-authorized boundary. Compliance requirements are stringent, requiring adherence to FedRAMP, FISMA, and the VA Technical Reference Model. The contractor must ensure all data is transmitted via VA-approved cryptographic modules and maintain strict confidentiality of medical records under Title 38 U.S.C. § 5705 and § 7332. Key deliverables include a System Security Plan, implementation diagrams, and monthly license reports. Additionally, the contractor must provide a signed Statement of Attestation prior to any AI implementation and utilize tamper-evident packaging for any IT hardware deliveries. This effort is currently in the Request for Information stage for planning purposes, with a focus on identifying capable vendors, particularly certified SDVOSBs.
Other Computer Related Services

POSTED

2 days ago

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in 5 days
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