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Human-in-the-Loop (HITL) AI Review and Oversight

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Federal

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

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The contract involves implementing and managing a Human-in-the-Loop (HITL) system designed to review outputs from AI and machine learning models, specifically focusing on eligibility assessments, fraud detection, and provider scoring. The objective is to enhance fairness and accountability in these processes by integrating human oversight into automated decision-making systems. This subcontract is issued by the Department of Defense Education Activity and is designated as a Total Small Business Set-Aside under FAR 19.5, targeting small businesses with expertise aligned to the NAICS code 541690. The scope of work requires the contractor to ensure that AI and ML outputs are thoroughly evaluated by human reviewers to mitigate risks of errors and biases. The place of performance is listed as Alexandria, and the solicitation was posted on June 2, 2026, with proposals due by June 18, 2026. The contract aims to bolster trust in automated systems through meticulous review and accountability measures, supporting the Department of Defense’s commitment to responsible AI usage within educational and related programs.

General Info

Implement human review for AI eligibility, fraud detection, provider scoring; small business subcontract, DoD Education.

Agency

Department Of Defense → DOD Education Activity

NAICS

541690 - Other Scientific and Technical Consulting ServicesView NAICS

Place of Performance

Alexandria, VA, USA

Set-Aside

SBA

Documents

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No documents available

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Timeline

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Organization & Contact Information

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AgencyDepartment Of Defense → DOD Education Activity
ContactsNo contacts available
OfficeN/A
Organization / Agency
Department Of Defense → DOD Education Activity
Office AddressN/A
ContactsNo contact information available

Full Description

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Implement and manage a Human-in-the-Loop system to review AI/ML outputs for eligibility, fraud detection, and provider scoring to ensure fairness and accountability.

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