I 
116TH CONGRESS 
1ST SESSION H. R. 2202 
To establish a coordinated Federal initiative to accelerate artificial intelligence 
research and development for the economic and national security of 
the United States, and for other purposes. 
IN THE HOUSE OF REPRESENTATIVES 
APRIL 10, 2019 
Mr. LIPINSKI (for himself and Mr. REED) introduced the following bill; which 
was referred to the Committee on Science, Space, and Technology 
A BILL 
To establish a coordinated Federal initiative to accelerate 
artificial intelligence research and development for the 
economic and national security of the United States, 
and for other purposes. 
Be it enacted by the Senate and House of Representa-
tives of the United States of America in Congress assembled, 
SECTION 1. SHORT TITLE; TABLE OF CONTENTS. 
(a) SHORT TITLE.—This Act may be cited as the 
‘‘Growing Artificial Intelligence Through Research Act’’ 
or the ‘‘GrAITR Act’’. 
(b) TABLE OF CONTENTS.—The table of contents for 
this Act is as follows: 
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Sec. 1. Short title; table of contents. 
Sec. 2. Sense of Congress. 
Sec. 3. Definitions. 
TITLE I—NATIONAL ARTIFICIAL INTELLIGENCE INITIATIVE 
Sec. 101. National Artificial Intelligence Initiative. 
Sec. 102. National Artificial Intelligence Coordination Office. 
Sec. 103. Interagency Committee. 
Sec. 104. Advisory Committee. 
TITLE II—NATIONAL INSTITUTE OF STANDARDS AND 
TECHNOLOGY ARTIFICIAL INTELLIGENCE ACTIVITIES 
Sec. 201. In general. 
TITLE III—NATIONAL SCIENCE FOUNDATION AND MULTIDISCI-
PLINARY CENTERS FOR ARTIFICIAL INTELLIGENCE RESEARCH 
AND EDUCATION 
Sec. 301. Artificial intelligence research and education program. 
Sec. 302. Multidisciplinary centers for artificial intelligence research and edu-
cation. 
TITLE IV—DEPARTMENT OF ENERGY ARTIFICIAL INTELLIGENCE 
RESEARCH PROGRAM 
Sec. 401. In general. 
SEC. 2. SENSE OF CONGRESS. 
It is the sense of Congress that— 
(1) there is a need for a National Artificial In-
telligence Initiative, including a comprehensive artifi-
cial intelligence research and development strategy 
and coordination across agencies; 
(2) there are currently several committees 
working on related tasks with respect to artificial in-
telligence and many agency representatives serve on 
multiple such committees with similar goals with re-
spect to artificial intelligence; and 
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(3) the reporting structure of such committees 
could be simplified to address efficiently the goals of 
the Initiative. 
SEC. 3. DEFINITIONS. 
In this Act: 
(1) ARTIFICIAL INTELLIGENCE.—The term ‘‘ar-
tificial intelligence’’— 
(A) means intelligent machines that use al-
gorithms, computer programs, and other tech-
niques to behave in ways commonly thought to 
require intelligence; and 
(B) includes forms such as machine learn-
ing, computer vision, and natural language 
processing. 
(2) ADVISORY COMMITTEE.—The term ‘‘Advi-
sory Committee’’ means the committee established 
or designated under section 104. 
(3) EMERGING RESEARCH INSTITUTION.—The 
term ‘‘emerging research institution’’ means an in-
stitution of higher education that— 
(A) receives less than $20,000,000 in Fed-
eral research funding annually; and 
(B) may grant a doctoral degree. 
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(4) INDUSTRY.—The term ‘‘industry’’ means 
entities in industries relevant to artificial intel-
ligence. 
(5) INITIATIVE.—The term ‘‘Initiative’’ means 
the National Artificial Intelligence Initiative estab-
lished under section 101. 
(6) INSTITUTIONS
OF
HIGHER
EDUCATION.— 
The term ‘‘institutions of higher education’’ has the 
meaning given the term in section 101 of the Higher 
Education Act of 1965 (20 U.S.C. 1001). 
(7) 
INTERAGENCY
COMMITTEE.—The 
term 
‘‘Interagency Committee’’ means the committee es-
tablished or designated under section 104(a). 
(8) K–12 EDUCATION.—The term ‘‘K–12 edu-
cation’’ means elementary school and secondary edu-
cation, as such terms are defined in section 8101 of 
the Elementary and Secondary Education Act of 
1965 (20 U.S.C. 7801). 
(9) MACHINE LEARNING.—The term ‘‘machine 
learning’’ means a subfield of artificial intelligence 
that is characterized by giving computers the auton-
omous ability to progressively optimize performance 
of a specific task based on data without being explic-
itly programmed. 
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