S.Amdt. 566

SA 566. Mr. WYDEN submitted an amendment intended to be proposed by
him to the bill S. 2226, to authorize appropriations for fiscal year
2024 for military activities of the Department of Defense, for military
construction, and for defense activities of the Department of Energy,
to prescribe military personnel strengths for such fiscal year, and for
other purposes; which was ordered to lie on the table; as follows:

At the appropriate place in subtitle B of title XV, insert
the following:

SEC. 15___. FRAMEWORK FOR CONSISTENT DATA MANAGEMENT FOR
ARTIFICIAL INTELLIGENCE TARGET IDENTIFICATION.

(a) In General.--Not later than December 31, 2024, the
Secretary of Defense shall develop and implement a framework
for artificial intelligence and machine learning for
intelligence, surveillance, reconnaissance, defense, and
offensive purposes throughout the Department of Defense.
(b) Contents.--The framework required by subsection (a)
shall include--
(1) criteria for data reviewers to ensure data quality--
(A) suitability for training artificial intelligence; and
(B) such additional criteria as the Secretary determines
necessary;
(2) a consistent development process and labeling
procedures that adhere to the ethical principals for the use
of artificial intelligence adopted by the Department,
including the principles of responsibility, equitability,
traceability, reliability, and governability; and
(3) processes for data input, evaluation, review, feedback,
update, and oversight.
(c) Briefing.--Not later than February 1, 2025, the
Secretary shall brief the appropriate congressional
committees on the status of the development and
implementation of the framework.
(d) Definitions.--In this section:
(1) Appropriate congressional committees.--The term
``appropriate congressional committees'' means--
(A) the Committee on Armed Services and the Select
Committee on Intelligence of the Senate; and
(B) the Committee on Armed Services and the Permanent
Select Committee on Intelligence of the House of
Representatives.
(2) Data quality.--The term ``data quality'' includes--
(A) the accuracy of data labeling;
(B) the condition of the data;
(C) the accuracy of data indexing;
(D) the suitability of the data for the intended task; and
(E) the freedom of the data from unintended bias.
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