S4683Referred to Committee

WARP Act of 2026

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Introduced
In Committee
3
Passed One Chamber
4
Passed Both
5
Signed into Law
119th
Congress
2026-06-04
Introduced
1
Cosponsors
S
Type

Sponsor

Mark Kelly
Mark Kelly
Democrat · AZ · Senator
Votes with party: 77.1% (792 recorded votes)
Top industries funding sponsor:
  • Veterans$4,000k

Full profile: /officials/K000377

Source: Congress.gov · FEC

Cosponsors (1)

Members who have signed on to support this bill since introduction. Source: Congress.gov.

Latest Action

The most recent step in the bill's legislative path. Committee Activity below shows referrals and reports; the full action-by-action history including floor proceedings lives at Congress.gov →

Read twice and referred to the Committee on Armed Services.

2026-06-04

Source: Congress.gov

Committee Activity

Currently in

Plain-English Summary

The Department of Defense would be required to study how using artificial intelligence affects soldiers' ability to perform their jobs, maintain their skills, and stay prepared for combat situations. The assessment would examine whether AI tools help or hurt military readiness and whether troops might lose important skills by relying too heavily on automated systems. This would help military leaders understand the real-world impacts of bringing AI technology into combat operations and training.

AI-assisted summary generated from the official bill metadata (title, subjects, actions) sourced from Congress.gov. Cached and reviewed. Always verify against the official text linked below.

Full Bill Text

Verbatim text published on Congress.gov via GovInfo. Use Cmd+F / Ctrl+F to search within this excerpt.

[Congressional Bills 119th Congress] [From the U.S. Government Publishing Office] [S. 4683 Introduced in Senate (IS)] <DOC> 119th CONGRESS 2d Session S. 4683 To require the Secretary of Defense to assess the effects of artificial intelligence integration on warfighter effectiveness, skill retention, and operational readiness, and for other purposes. _______________________________________________________________________ IN THE SENATE OF THE UNITED STATES June 4, 2026 Mr. Kelly (for himself and Mr. Cotton) introduced the following bill; which was read twice and referred to the Committee on Armed Services _______________________________________________________________________ A BILL To require the Secretary of Defense to assess the effects of artificial intelligence integration on warfighter effectiveness, skill retention, and operational readiness, and for other purposes. Be it enacted by the Senate and House of Representatives of the United States of America in Congress assembled, SECTION 1. SHORT TITLE. This Act may be cited as the ``Warfighter Artificial Intelligence Readiness and Preparedness Act of 2026'' or the ``WARP Act of 2026''. SEC. 2. ASSESSMENT OF ARTIFICIAL INTELLIGENCE EFFECTS ON WARFIGHTER SKILL RETENTION AND OPERATIONAL READINESS. (a) Assessment Required.--Commencing not later than August 1, 2027, the Secretary of Defense shall conduct a comprehensive assessment of the effects on human performance of the adoption of artificial intelligence systems by personnel of the Department of Defense on the maintenance and retention of essential warfighter skills. (b) Coordination and Lead Official.--The Secretary of Defense shall designate a senior official-- (1) to coordinate the assessment and research activities required by this section; (2) to oversee the integration of findings under this section into the policies of the Department, with the objective of maximizing both artificial intelligence-enabled performance and proficiency in critical, hard-to-recover skills; and (3) who is authorized to coordinate among the military departments and relevant defense agencies for purposes of carrying out this section. (c) Scope of Assessment.--The assessment required under subsection (a) shall include the following: (1) Identification of military occupational specialties and operational roles where structured proficiency management will be most critical to sustaining readiness alongside artificial intelligence adoption based on the susceptibility to skill atrophy resulting from reliance on artificial intelligence- enabled systems as well as speed and investments to recover such skill. (2) Evaluation of the conditions under which artificial intelligence-enabled systems augment warfighter capability and the conditions that call for deliberate proficiency sustainment measures to preserve independent judgment and awareness based on the cognitive, operational, and manual skills decline among personnel who regularly use artificial intelligence-enabled systems compared to personnel performing equivalent tasks without such systems. (3) Identification of measurable indicators that distinguish beneficial skill augmentation from conditions requiring proficiency intervention. (4) Assessment of how current training and certification programs can be structured to build and sustain critical, hard- to-recover proficiency based on a review of the conditions under which reliance on artificial intelligence systems may contribute to overreliance, miscalibrated confidence in system outputs, diminished trust in independent human judgment, or reduced situation awareness. (5) Evaluation of whether current training programs and certification standards adequately preserve critical warfighter proficiency for degraded-mode, denied, or contested operational environments, including the adequacy of primary, alternate, contingency, and emergency planning frameworks. (6) Recommendations for policies, training protocols, doctrine, acquisition requirements, talent management strategies, or readiness metrics to ensure that artificial intelligence adoption strengthens operational readiness. (d) Research Activities.-- (1) In general.--The official designated under subsection (b) shall carry out research activities to support the assessment required under subsection (a), which may include controlled experiments or high-fidelity simulations comparing performance with and without artificial intelligence-enabled systems, longitudinal studies measuring skill retention trajectories, full-spectrum performance, and recovery timelines, assessment of operator confidence and decisionmaking accuracy under simulated contested conditions,
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and development of standardized skill sustainment metrics applicable across the Armed Forces. (2) Coordination.--In carrying out the research activities under paragraph (1), the official designated under subsection (b) shall coordinate with the following entities, as appropriate: (A) The Army Research Institute for Behavioral and Social Sciences. (B) The Office of Naval Research. (C) The Air Force Research Laboratory Human Effectiveness Directorate. (D) The Chief Digital and Artificial Intelligence Office. (E) The military departments. (F) Assistant Secretary of Defense for Readiness. (G) Such other research entities and operational commands as the Secretary of Defense considers appropriate. (3) Research methodology.--Research conducted under this subsection shall-- (A) establish baseline measurements of task performance and cognitive capabilities prior to artificial intelligence system use; (B) assess performance changes during routine artificial intelligence-assisted operations; (C) evaluate skill sustainment when artificial intelligence systems are removed or unavailable; (D) measure recovery timelines to baseline proficiency after extended artificial intelligence- assisted operations; and (E) identify factors that accelerate or support skill sustainment. (e) Reports.-- (1) Initial report.-- (A) In general.--Not later than one year after the date of the enactment of this Act, the Secretary of Defense shall submit to the congressional defense committees a report on the assessment required under subsection (a). (B) Elements.--The report required under subparagraph (A) shall include the following: (i) An identification of military occupational specialties and operational roles where proficiency sustainment will be most critical based on which are most vulnerable to hard-to-recover skill atrophy. (ii) Preliminary findings from controlled operational experiments and the design of longitudinal studies under subsection (d)(1). (iii) An assessment of opportunities to strengthen readiness based on identification of high-level risks to proficiency based on current or planned artificial intelligence deployment practices. (iv) Recommended changes to policies, training, doctrine, or acquisition requirements to optimize human and artificial intelligence integration. (v) Recommendations for updates, identified as near- or long-term in nature, to existing training programs, certification standards, and operational doctrine to build and sustain critical and hard-to-recover proficiencies and identification of the Department of Defense component or office best positioned to implement each such recommendation. (vi) An identification of any additional authorities, resources, research partnerships with academic institutions or federally funded research and development centers, or technical expertise needed to conduct the research activities described in subsection (d). (2) Longitudinal study report.-- (A) In general.--Not later than three years after the date of the enactment of this Act, the Secretary of Defense shall submit to the congressional defense committees a report containing the findings of the longitudinal studies conducted under subsection (d)(1). (B) Elements.--The report required under subparagraph (A) shall include the following: (i) An identification of measured rates of retention and atrophy of hard-to-recover skills across different military occupational specialties and operational contexts. (ii) An assessment of skill recovery trajectories and the time required to restore baseline proficiency. (iii) An evaluation of degraded-mode performance outcomes under simulated contested conditions. (iv) Updated recommendations for policies, training protocols, doctrine, acquisition requirements, or readiness metrics based on research findings. (v) Any update to the recommendations made under paragraph (1)(B)(v). (f) Briefings.-- (1) Initial briefing.--Not later than 90 days after the submittal of the initial report under subsection (e)(1), the Secretary of Defense shall provide to the congressional defense committees a briefing on the findings and recommendations contained in such report. (2) Longitudinal study briefing.--Not later than 90 days after the submittal of the longitudinal study report under subsection (e)(2), the Secretary of Defense shall provide to the congressional defense committees a briefing on the findings and recommendations contained in such report. (g) Review of Training and Doctrine.--The Secretary of Defense shall assess whether existing training programs, certification standards, and operational doctrine adequately account for the effects of artificial intelligence-enabled systems on skill retention and degraded-mode performance and shall include in the reports required under subsection (e)-- (1) recommendations for updates, as appropriate, identified as near-term or longer-term in nature; and (2) identification of the Department of Defense component or office best positioned to consider implementation of each such recommendation. (h) Definitions.--In this section: (1) Artificial intelligence system.--The term ``artificial intelligence system'' has the meaning given the term ``artificial intelligence'' in section 238(g) of the John S. McCain National Defense Authorization Act for Fiscal Year 2019 (Public Law 115-232; 10 U.S.C. 4061 note prec.). (2) Artificial intelligence-enabled system.--The term ``artificial intelligence-enabled system'' means any weapons system, decision support tool, or operational capability that incorporates or relies on an artificial intelligence system. (3) Congressional defense committees.--The term ``congressional defense committees'' has the meaning given that term in section 101 of title 10, United States Code. (4) Degraded-mode operations.--The term ``degraded-mode operations'' means military operations conducted when artificial intelligence systems or supporting infrastructure are unavailable, partially functional, compromised, or under adversarial attack. (5) Primary, alternate, contingency, and emergency planning.--The term ``primary, alternate, contingency, and emergency planning'' means a framework for ensuring continuity of operations when primary systems become unavailable, requiring personnel to employ alternate approaches, contingency plans, or emergency procedures. <all>

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