S4495-118

Reported

To enable safe, responsible, and agile procurement, development, and use of artificial intelligence by the Federal Government, and for other purposes.

118th Congress Introduced Jun 11, 2024

Analysis under review: This bill has generated analysis that may be too generic or incomplete. Clause-level evidence remains available below.

Summary

What This Bill Does

Creates comprehensive requirements for federal agency AI procurement, development, and use, including mandatory adverse incident reporting for harms affecting rights, safety, health, critical infrastructure, or benefit denials.

Who Benefits and How

Citizens benefit from accountable AI use affecting benefits, employment, and services. Federal agencies gain clear procurement guidance. Regulated industries gain predictable AI standards.

Who Bears the Burden and How

Federal agencies must implement AI governance frameworks. Contractors face new accountability requirements. OMB Director must establish adverse incident definitions and reporting.

Key Provisions

  • Defines adverse incidents including health harm, critical infrastructure disruption, mission failure
  • Covers AI use in benefits, employment, and contract decisions
  • Applies to all agencies including independent regulatory agencies
  • References both NAIIA and McCain NDAA AI definitions

Evidence Chain:

This summary is generated from the full bill text using AI analysis. Expand "Detailed Analysis" below for identified beneficiaries/burden bearers.

At a Glance

What This Bill Does

Establishes framework for safe procurement and deployment of AI in federal agencies with accountability requirements

Who Benefits

  • Citizens affected by AI decisions
  • Federal agencies
  • Regulated industries

Who Bears Costs

  • Federal agencies
  • AI contractors
  • OMB

Key Policy Areas

Artificial Intelligence, Federal Procurement, Technology Policy, Government Administration

Primary Purpose

Establishes framework for safe procurement and deployment of AI in federal agencies with accountability requirements

Policy Domains

Artificial Intelligence Federal Procurement Technology Policy Government Administration

Legislative Strategy

"Ensure accountable AI deployment in government through procurement standards"

Legislative Progress

Reported
Introduced Committee Passed
Dec 16, 2024

Reported by Mr. Peters, with an amendment

Jun 11, 2024

Mr. Peters (for himself and Mr. Tillis) introduced the following …

Stakeholder Effects

cui bono?

How this legislation distributes effects. Mention counts reflect frequency, not effect magnitude.

Government
21 mentions across 21 clauses
+6 positive -15 negative

Federal Acquisition Regulatory Council, Federal agencies, Federal agencies with classified AI programs

Federal agencies faces effects in multiple directions

Technology
9 mentions across 7 clauses
+6 positive -3 negative

AI startups and vendors, AI vendors selling to federal government, AI vendors with high-risk applications

Positive-direction: AI startups and vendors, AI vendors with low-risk applications, AI vendors with transparent and tested products, Commercial AI vendors

Negative-direction: AI vendors selling to federal government, AI vendors with high-risk applications

Scientific R&D Services
2 mentions across 2 clauses
+2 positive

AI research contractors

Nonprofits
1 mention across 1 clause
+1 positive

Public transparency advocates

Labor
1 mention across 1 clause
+1 positive

AI workforce and talent

25/27
sections analyzed
Full impact breakdown

Bill Structure & Actor Mappings

Who is "The Secretary" in each section?

Domains
Artificial Intelligence Federal Procurement
Actor Mappings
"the_director"
→ Director of OMB

Key Definitions

Terms defined in this bill

2 terms
"adverse incident" §2

Any AI incident leading to harm to rights or safety, death, critical infrastructure disruption, property damage, mission failure, or denial of benefits/employment

"biometric data" §2b

Data resulting from specific technical processing relating to physical or behavioral characteristics

We use a combination of our own taxonomy and classification in addition to large language models to assess meaning and potential beneficiaries. High confidence means strong textual evidence. Always verify with the original bill text.

Learn more about our methodology