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ODIG-FDA Enterprise Data Support Operations Support

Forecast
Federal

Contract Overview

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The ODIG-FDA Enterprise Data Support Operations Support contract is a forecast opportunity with the Food and Drug Administration designed to provide agencywide data quality operations. The primary objective is to implement human-in-the-loop validation to ensure regulatory-grade accuracy, consistency, and compliance across the agency's AI-enabled systems. By integrating human expertise, the program aims to mitigate automation bias, address complex edge cases, and maintain the scientific integrity necessary for critical regulatory decisions. This initiative directly supports CDER user fee commitments by enhancing review efficiency and accelerating decision timelines. The framework ensures that AI tools serve to augment rather than replace expert judgment, thereby preserving accountability and transparency. Ultimately, the contract focuses on establishing reliable AI analytics to maintain public trust in the FDA's regulatory processes.

General Info

FDA contract for human-in-the-loop data validation to ensure AI accuracy and regulatory compliance.

NAICS

541519 - Other Computer Related Services

Place of Performance

USA

Set-Aside

NONE

Documents

0

No documents available

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Organization & Contact Information

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AgencyFood and Drug Administration → Food And Drug Administration
Contacts2 people available
OfficeN/A
Office AddressN/A
Contacts
Oc Acquisition Liaison
To Be Determined To Be DeterminedContracting Officer

Full Description

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Contract is provide support for agencywide data quality operations program with humans in the loop, this is essential to ensure regulatory-grade data accuracy, consistency, and compliance across FDA's AI-enabled systems. Human-in-the-loop validation prevents automation bias, catches edge cases AI may miss, and maintains scientific integrity required for regulatory decisions. This directly supports CDER user fee commitments by improving review efficiency, accelerating time-to-decision, and ensuring AI tools augment-not replace-expert judgment. Quality data enables reliable AI analytics while preserving accountability, transparency, and public trust in FDA's regulatory processes.

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