SBIR/STTR Research Award

Certifying AI Systems

Award identifier 7bfaa7a9f3964e45355178b4dacaa9e1b5f4a961fb31ffe8a713a664f21dbd4eAwarding agency Department of Defense · Air Force

Award amount

$74,956

Program and phase

SBIR · Phase I

Award year

2024

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
MODELOP, INC
Proposal award date
2024-05-13
Contract end date
2024-08-19
UEI
FF4DBS9JDYZ1
Solicitation number
X24.5
Topic code
AFX245-PCSO1

Research abstract

The Department of the Air Force is employing urgent strategies to enhance its capabilities for Great Power Competition by investing in AI; however, all AI models are subject to financial, regulatory and security risks without proper monitoring and controls in place.Ā There is a looming threat of bad actor models that output inaccurate predictions and reduce operational effectiveness as well as introduce vulnerabilities to adversarial exploitation and result in the complete loss of trust and credibility in the AI investments. The first step in addressing these vulnerabilities is to have full visibility and the ability to control these risks through AI specific governance, enabling NIST policies and principles such as Visible, Accessible, Understandable, Linked, Trustworthy, Interoperable and Secure (VAULTIS) in order to Certify AI Systems. However, there is a hesitation to comprehensively monitor and govern AI because there is a fear that these processes are inadvertently impeding innovation given that most governance is manual, inconsistent and not scalable.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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