≈$12.8M DEFINITIVE CONTRACT FA865023C7318

U.S. Air Force: ~$12.81M for a trustworthy-AI framework "FAITH-MD" — a federal contract with CACI (USAspending)

Department of Defense 2023-04-13 〜 2026-12-14

The U.S. Air Force awarded about $12.81M ($12,809,769) for "FAITH-MD," a Framework for Artificial Intelligence Trustworthiness in Human-Machine Delegation. Recipient: government-IT major CACI. A federal contract focused on AI trustworthiness and responsible use.

Contract key facts

  • RecipientCACI International
  • Contract value$12,809,769 (≈$12.8M)
  • Awarding agencyDepartment of Defense
  • Awarding sub-agencyDepartment of the Air Force
  • Award typeDEFINITIVE CONTRACT
  • Period of performance2023-04-13 〜 2026-12-14
  • Contract ID (PIID)FA865023C7318

Contract scope (original)

FRAMEWORK FOR ARTIFICIAL INTELLIGENCE TRUSTWORTHINESS IN HUMAN-MACHINE DELEGATION (FAITH-MD)

Key points

  • The Air Force procured a framework for AI trustworthiness in human-machine delegation (FAITH-MD)
  • Value ~$12.81M, definitive contract, April 2023–December 2026
  • Focused on trustworthiness/responsible use, not raw AI performance
  • How much to delegate to AI vs. keep humans in the loop is a cross-domain high-stakes challenge
  • Recipient: CACI (a major government IT, intelligence, and cyber firm)
  • What is asked is not AI performance but trustworthiness - how far judgement and action may be delegated.

1Trustworthiness rather than performance

The theme here is less about AI "performance" and more about whether AI is "trustworthy" and how to divide roles between humans and machines (human-machine delegation). How much to delegate to AI and where humans should stay in the loop is a shared challenge across high-stakes domains — not only military, but also autonomous driving, healthcare, and public administration.

2Funding the framework for responsible use

3Asking about performance, or about trust

The question this framework poses is not how often the AI is right. It is how much may be delegated to it.

Asking about performanceAsking about trustworthiness (this contract)
Measured in accuracy and speedMeasured in how far judgement and action may be delegated
Leads toward improving the modelLeads toward designing human-machine delegation
Closes as a technical problemBecomes a problem shared with autonomous driving, medicine and public administration

Government is funding a framework for trustworthiness and responsible use, not performance alone. Specific methods and deliverables do not appear in the source, and are not inferred. CACI, the recipient, is a large supplier of IT, intelligence and cyber services to government, also covered in this site's company profiles.

Why it matters

A concrete example that government AI investment is moving toward trustworthiness and responsible use and the human-machine division of roles, not just capability. Useful for framing how to deploy AI in high-stakes domains.

FAQ

What is "human-machine delegation"?
The division of roles for how much decision-making or action is entrusted to AI (the machine) versus where humans should review or intervene. The higher the stakes, the more this boundary matters.
Why make "trustworthiness" the contract theme?
Operating AI requires not just performance but confidence that its outputs can be trusted. Governments invest in frameworks to assess and ensure trustworthiness (the specific methods here are not stated in the original scope).

Sources (primary)

This article is an independent organization based on the U.S. official spending data below. Verify the exact, latest details with the official source.

#Government spending#AI#Trustworthy AI#Air Force#CACI#Federal procurement
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