Federal laboratories, State and local governments, 
civil society groups, and other relevant stakeholders; 
(2) solicit input from experts in relevant fields 
of social science, technology ethics, and law; and 
(3) provide opportunity for public comment on 
guidelines and best practices developed as part of 
the Initiative, as appropriate. 
(e) AUTHORIZATION
OF APPROPRIATIONS.—There 
are authorized to be appropriated to the National Institute 
of Standards and Technology to carry out this sub-
section— 
(1) $64,000,000 for fiscal year 2021; 
(2) $70,400,000 for fiscal year 2022; 
(3) $77,440,000 for fiscal year 2023; 
(4) $85,180,000 for fiscal year 2024; and 
(5) $93,700,000 for fiscal year 2025. 
TITLE IV—NATIONAL SCIENCE 
FOUNDATION ARTIFICIAL IN-
TELLIGENCE ACTIVITIES 
SEC. 401. ARTIFICIAL INTELLIGENCE RESEARCH AND EDU-
CATION. 
(a) IN GENERAL.—As part of the Initiative, the Di-
rector of the National Science Foundation shall fund re-
search and education activities in artificial intelligence sys-
tems and related fields, including competitive awards or 
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grants to institutions of higher education or eligible non-
profit organizations (or consortia thereof). 
(b) USES OF FUNDS.—In carrying out the activities 
under subsection (a), the Director of the National Science 
Foundation shall— 
(1) support research, including interdisciplinary 
research on artificial intelligence systems and related 
areas; 
(2) support collaborations among researchers 
across disciplines, including between social scientists 
and computer and data scientists, to advance re-
search critical to the development and deployment of 
trustworthy artificial intelligence systems, including 
support for interdisciplinary research relating ad-
vances in artificial intelligence to changes in the fu-
ture workplace, in a social and economic context; 
(3) use the existing programs of the National 
Science Foundation, in collaboration with other Fed-
eral departments and agencies, as appropriate to— 
(A) improve the teaching and learning of 
artificial intelligence systems at all levels of 
education; and 
(B) increase participation in artificial intel-
ligence related fields, including by individuals 
identified in sections 33 and 34 of the Science 
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and Engineering Equal Opportunity Act (42 
U.S.C. 1885a, 1885b); 
(4) engage with institutions of higher edu-
cation, research communities, industry, Federal lab-
oratories, nonprofit organizations, State and local 
governments, and potential users of information pro-
duced under this section, including through the con-
vening of workshops and conferences, to leverage the 
collective body of knowledge across disciplines rel-
evant to artificial intelligence, facilitate new collabo-
rations and partnerships, and identify emerging re-
search needs; 
(5) support partnerships among institutions of 
higher education and industry that facilitate collabo-
rative research, personnel exchanges, and workforce 
development with respect to artificial intelligence 
systems; 
(6) ensure adequate access to research and edu-
cation infrastructure with respect to artificial intel-
ligence systems, including through the development 
of new computing resources and partnership with 
the private sector for the provision of cloud-based 
computing services; 
(7) conduct prize competitions, as appropriate, 
pursuant to section 24 of the Stevenson-Wydler 
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Technology Innovation Act of 1980 (15 U.S.C. 
3719); 
(8) coordinate research efforts funded through 
existing programs across the directorates of the Na-
tional Science Foundation; 
(9) provide guidance on data sharing by grant-
ees to public and private sector organizations con-
sistent with the standards and guidelines developed 
under section 301(c); and 
(10) evaluate opportunities for international 
collaboration with strategic allies on artificial intel-
ligence research and development. 
(c) 
ARTIFICIAL
INTELLIGENCE
RESEARCH 
GRANTS.— 
(1) IN
GENERAL.—The Director shall award 
grants for research on artificial intelligence systems. 
Research areas may include— 
(A) artificial intelligence systems, including 
machine learning, computer vision, robotics, 
and hardware for accelerating artificial intel-
ligence systems; 
(B) artificial intelligence-enabled systems; 
(C) fields and research areas that will con-
tribute to the advancement of artificial intel-
ligence systems, including information theory, 
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causal and statistical inference, data mining, in-
formation extraction, human-robot interaction, 
and intelligent interfaces; 
(D) fields and research areas that increase 
understanding of human characteristics relevant 
to artificial intelligence systems, including com-
putational neuroscience, reasoning and rep-
resentation, speech and language, multi-agent 
systems, intelligent interfaces, human-artificial 
intelligence cooperation, and artificial intel-
ligence-augmented human problem solving; 
(E) fields and research areas that increase 
understanding of learning, adaptability, and re-
silience beyond the human cognitive model, in-
cluding topics in developmental biology, zoology, 
botany, 
morphological 
computation, 
and 
organismal systems; 
(F) fields and research areas that will con-
tribute to the development and deployment of 
trustworthy artificial intelligence systems, in-
cluding— 
(i) algorithmic explainability; 
(ii) methods to assess, characterize, 
and reduce bias in datasets and artificial 
intelligence systems; and 
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(iii) safety and robustness of artificial 
intelligence systems, including assurance, 
verification, validation, security, and con-
trol; 
(G) privacy and security, including for 
datasets used for the training and inference of 
artificial intelligence systems, and software and 
hardware used in artificial intelligence systems; 
(H) fields and research areas that address 
the application of artificial intelligence systems 
to scientific discovery and societal challenges; 
(I) societal, ethical, safety, education, 
workforce, and security implications of artificial 
intelligence systems, including social impact of 
artificial 
intelligence 
systems 
on 
different 
groups within society, especially historically 
marginalized groups; and 
(J) qualitative and quantitative forecasting 
of future capabilities, applications, and impacts. 
(2) ENGINEERING SUPPORT.—In soliciting pro-
posals for funding under this section, the Director 
shall permit applicants to include in their proposed 
budgets funding for software engineering support to 
assist with the proposed research. 
(3) ETHICS.— 
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(A) SENSE OF CONGRESS.—It is the sense 
of Congress that— 
(i) a number of emerging areas of re-
search, including artificial intelligence, 
have potential ethical, social, safety, and 
security implications that might be appar-
ent as early as the basic research stage; 
(ii) the incorporation of ethical, social, 
safety, and security considerations into the 
research design and review process for 
Federal awards may help mitigate poten-
tial harms before they happen; 
(iii) the National Science Founda-
tion’s intent to enter into an agreement 
with the National Academies of Sciences, 
Engineering, and Medicine to conduct a 
study and make recommendations with re-
spect to governance of research in emerg-
ing technologies is a positive step toward 
accomplishing this goal; and 
(iv) the National Science Foundation 
should continue to work with stakeholders 
to understand and adopt policies that pro-
mote best practices for governance of re-
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search in emerging technologies at every 
stage of research. 
(B) ETHICS STATEMENTS.— 
(i) IN GENERAL.—Not later than 18 
months after the date of enactment of this 
Act, the Director shall amend grant pro-
posal instructions to include a requirement 
for an ethics statement to be included as 
part of any proposal for funding prior to 
making the award. Such statement shall be 
considered by the Director in the review of 
proposals, taking into consideration any 
relevant input from the peer-reviewers for 
the proposal, and shall factor into award 
decisions as deemed necessary by the Di-
rector. 
(ii) 
CONTENTS.—Such 
statements 
may include, as appropriate— 
(I) the potential societal benefits 
of the research; 
(II) any foreseeable or quantifi-
able risks to society, including how 
the research could enable products, 
technologies, or other outcomes that 
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could intentionally or unintentionally 
cause significant societal harm; and 
(III) how technical or social solu-
tions can mitigate such risks and, as 
appropriate, a plan to implement such 
mitigation measures. 
(iii) GUIDANCE.—The Director shall 
issue clear guidance on what constitutes a 
foreseeable or quantifiable risk described in 
clause (ii)(II), and to the extent practical 
harmonize this policy with existing ethical 
policies or related requirements for human 
subjects. 
(iv) ANNUAL REPORTS.—The Director 
shall encourage grantees to update their 
ethics statements as appropriate as part of 
the annual reports required by all grantees 
under the grant terms and conditions. 
(d) EDUCATION.— 
(1) IN GENERAL.—The Director of the National 
Science Foundation shall award grants for education 
programs at the K-12, community college, under-
graduate, graduate, postdoctoral, adult learning, and 
retraining stages of education that— 
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(A) support the development of a diverse 
workforce pipeline for science and technology 
with respect to artificial intelligence systems; 
(B) increase awareness of ethical, social, 
safety, and security implications of artificial in-
telligence systems; and 
(C) promote the widespread understanding 
of artificial intelligence principles and methods 
to create an educated workforce and general 
public able to use products enabled by artificial 
intelligence systems and adapt to future societal 
and economic changes caused by artificial intel-
ligence systems. 
(2) USE
OF
FUNDS.—Grants awarded under 
this section for education activities referred to in 
paragraph (1) may be used for— 
(A) K-12, undergraduate, and community 
college curriculum development and other edu-
cational tools and methods in artificial intel-
ligence related fields; 
(B) curriculum development in the field of 
technology ethics; 
(C) support for informal education activi-
ties for K-12 students to engage with artificial 
intelligence systems; 
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(D) efforts to achieve equitable access to 
K-12 artificial intelligence education for popu-
lations and geographic areas traditionally 
underrepresented in the artificial intelligence 
field; 
(E) training and professional development 
programs, including innovative pre-service and 
in-service programs, in artificial intelligence and 
related fields for K-12 teachers; 
(F) efforts to improve the retention rate 
for researchers focusing on artificial intelligence 
systems at institutions of higher learning and 
other nonprofit research institutions; 
(G) outreach programs to educate the gen-
eral public about the uses of artificial intel-
ligence and its societal implications; 
(H) assessments of activities conducted 
under this subsection; and 
(I) any other relevant activities the Direc-
tor determines will accomplish the aim de-
scribed in paragraph (1). 
(3) ARTIFICIAL INTELLIGENCE TRAINEESHIPS 
AND FELLOWSHIPS.— 
(A) 
ARTIFICIAL
INTELLIGENCE 
TRAINEESHIPS.— 
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(i) IN GENERAL.—The Director of the 
National Science Foundation shall award 
grants to institutions of higher education 
to establish traineeship programs for grad-
uate students who pursue artificial intel-
ligence-related research leading to a mas-
ters or doctorate degree by providing fund-
ing and other assistance, and by providing 
graduate students opportunities for re-
search experiences in government or indus-
try related to the students’ artificial intel-
ligence studies. 
(ii) USE OF FUNDS.—An institution 
of higher education shall use grant funds 
provided under clause (i) for the purposes 
of— 
(I) providing traineeships to stu-
dents who are pursuing research in 
artificial intelligence leading to a mas-
ters or doctorate degree; 
(II) paying tuition and fees for 
students receiving traineeships who 
are citizens, nationals, or lawfully ad-
mitted permanent resident aliens of 
the United States; 
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(III) 
creating 
and 
requiring 
courses or training programs in tech-
nology ethics for students receiving 
traineeships; 
(IV) creating opportunities for 
research in technology ethics for stu-
dents receiving traineeships; 
(V) establishing scientific intern-
ship programs for students receiving 
traineeships in artificial intelligence at 
for-profit institutions, nonprofit re-
search institutions, or government lab-
oratories; and 
(VI) other costs associated with 
the administration of the program. 
(B) ARTIFICIAL
INTELLIGENCE
FELLOW-
SHIPS.—The Director of the National Science 
Foundation shall award fellowships to masters 
and doctoral students and postdoctoral re-
searchers at institutions of higher education 
who are pursuing degrees or research in artifi-
cial intelligence and related fields, including in 
the field of technology ethics. In making such 
awards, the Director shall— 
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(i) ensure recipients of artificial intel-
ligence fellowships are citizens, nationals, 
or lawfully admitted permanent resident 
aliens of the United States; and 
(ii) 
conduct 
outreach, 
including 
through formal solicitations, to solicit pro-
posals from students and postdoctoral re-
searchers seeking to carry out research in 
aspects of technology ethics with relevance 
to artificial intelligence systems. 
(e) AUTHORIZATION
OF APPROPRIATIONS.—There 
are authorized to be appropriated to the National Science 
Foundation to carry out this section— 
(1) $868,000,000 for fiscal year 2021; 
(2) $911,400,000 for fiscal year 2022; 
(3) $956,970,000 for fiscal year 2023; 
(4) $1,004,820,000 for fiscal year 2024; and 
(5) $1,055,060,000 for fiscal year 2025. 
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TITLE V—DEPARTMENT OF EN-
ERGY 
ARTIFICIAL 
INTEL-
LIGENCE 
RESEARCH 
PRO-
GRAM 
SEC. 501. DEPARTMENT OF ENERGY ARTIFICIAL INTEL-
LIGENCE RESEARCH PROGRAM. 
(a) IN GENERAL.—The Secretary shall carry out a 
cross-cutting research and development program to ad-
vance artificial intelligence tools, systems, capabilities, and 
workforce needs and to improve the reliability of artificial 
intelligence methods and solutions relevant to the mission 
of the Department. In carrying out this program, the Sec-
retary shall coordinate across all relevant offices and pro-
grams at the Department, including the Office of Science, 
the Office of Energy Efficiency and Renewable Energy, 
the Office of Nuclear Energy, the Office of Fossil Energy, 
the Office of Electricity, the Office of Cybersecurity, En-
ergy Security, and Emergency Response, the Advanced 
Research Projects Agency-Energy, and any other relevant 
office determined by the Secretary. 
(b) RESEARCH AREAS.—In carrying out the program 
under subsection (a), the Secretary shall award financial 
assistance to eligible entities to carry out research projects 
on topics including— 
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(1) the application of artificial intelligence sys-
tems to improve large-scale simulations of natural 
and other phenomena; 
(2) the study of applied mathematics, computer 
science, and statistics, including foundations of 
methods and systems of artificial intelligence, causal 
and statistical inference, and the development of al-
gorithms for artificial intelligence systems; 
(3) the analysis of existing large-scale datasets 
from science and engineering experiments and sim-
ulations, including energy simulations and other pri-
orities at the Department as determined by the Sec-
retary using artificial intelligence tools and tech-
niques; 
(4) the development of operation and control 
systems that enhance automated, intelligent deci-
sionmaking capabilities; 
(5) the development of advanced computing 
hardware and computer architecture tailored to arti-
ficial intelligence systems, including the codesign of 
networks and computational hardware; 
(6) the development of standardized datasets 
for emerging artificial intelligence research fields 
and applications, including methods for addressing 
data scarcity; and 
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(7) the development of trustworthy artificial in-
telligence systems, including— 
(A) algorithmic explainability; 
(B) analytical methods for identifying and 
mitigating bias in artificial intelligence systems; 
and 
(C) safety and robustness, including assur-
ance, verification, validation, security, and con-
trol. 
(c) TECHNOLOGY TRANSFER.—In carrying out the 
program under subsection (a), the Secretary shall support 
technology transfer of artificial intelligence systems for the 
benefit of society and United States economic competitive-
ness. 
(d) FACILITY USE AND UPGRADES.—In carrying out 
the program under subsection (a), the Secretary shall— 
(1) make available high-performance computing 
infrastructure at national laboratories; 
(2) make any upgrades necessary to enhance 
the use of existing computing facilities for artificial 
intelligence systems, including upgrades to hard-
ware; 
(3) establish new computing capabilities nec-
essary to manage data and conduct high perform-
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ance computing that enables the use of artificial in-
telligence systems; and 
(4) maintain and improve, as needed, net-
working infrastructure, data input and output mech-
anisms, and data analysis, storage, and service capa-
bilities. 
(e) ETHICS.— 
(1) IN GENERAL.—Not later than 18 months 
after the date of enactment of this Act, the Sec-
retary shall amend grant proposal instructions to in-
clude a requirement for an ethics statement to be in-
cluded as part of any proposal for funding prior to 
making the award. Such statement shall be consid-
ered by the Secretary in the review of proposals, tak-
ing into consideration any relevant input from the 
peer-reviewers for the proposal, and shall factor into 
award decisions as deemed necessary by the Sec-
retary. Such statements may include, as appro-
priate— 
(A) the potential societal benefits of the re-
search; 
(B) any foreseeable or quantifiable risks to 
society, including how the research could enable 
products, technologies, or other outcomes that 
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could intentionally or unintentionally cause sig-
nificant societal harm; and 
(C) how technical or social solutions can 
mitigate such risks and, as appropriate, a plan 
to implement such mitigation measures. 
(2) GUIDANCE.—The Secretary shall issue clear 
guidance on what constitutes risks as described in 
section (1)(B), and to the extent practical harmonize 
this policy with existing ethical policies or related re-
quirements for human subjects. 
(3) ANNUAL
REPORTS.—The Secretary shall 
encourage awardees to update their ethics state-
ments as appropriate as part of the annual reports 
required by all awardees under the grant terms and 
conditions. 
(f) RISK MANAGEMENT.—The Secretary shall review 
agency policies for risk management in artificial intel-
ligence related projects and issue as necessary policies and 
principles that are consistent with the framework devel-
oped under section 301(b). 
(g) DATA PRIVACY AND SHARING.—The Secretary 
shall review agency policies for data sharing with other 
public and private sector organizations and issue as nec-
essary policies and principles that are consistent with the 
standards and guidelines submitted under section 301(c). 
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In addition, the Secretary shall establish a streamlined 
mechanism for approving research projects or partner-
ships that require sharing sensitive public or private data 
with the Department. 
(h) PARTNERSHIPS WITH OTHER FEDERAL AGEN-
CIES.—The Secretary may request, accept, and provide 
funds from other Federal departments and agencies, 
State, United States territory, local, or Tribal government 
agencies, private sector for-profit entities, and nonprofit 
entities, to be available to the extent provided by appro-
priations Acts, to support a research project or partner-
ship carried out under this section. The Secretary may not 
give any special consideration to any agency or entity in 
return for a donation. 
(i) STAKEHOLDER ENGAGEMENT.—In carrying out 
the activities authorized in this section, the Secretary 
shall— 
(1) collaborate with a range of stakeholders in-
cluding small businesses, institutes of higher edu-
cation, industry, and the National Laboratories; 
(2) leverage the collective body of knowledge 
from existing artificial intelligence and machine 
learning research; and 
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(3) engage with other Federal agencies, re-
search communities, and potential users of informa-
tion produced under this section. 
(j) AUTHORIZATION
OF APPROPRIATIONS.—There 
are authorized to be appropriated to the Department to 
carry out this section— 
(1) $200,000,000 for fiscal year 2021; 
(2) $214,000,000 for fiscal year 2022; 
(3) $228,980,000 for fiscal year 2023; 
(4) $245,000,000 for fiscal year 2024; and 
(5) $262,160,000 for fiscal year 2025. 
(k) DEFINITIONS.—In this section: 
(1) SECRETARY.—The term ‘‘Secretary’’ means 
the Secretary of Energy. 
(2) DEPARTMENT.—The term ‘‘Department’’ 
means the Department of Energy. 
(3) NATIONAL LABORATORY.—The term ‘‘na-
tional laboratory’’ has the meaning given such term 
in section 2 of the Energy Policy Act of 2005 (42 
U.S.C. 15801). 
(4) ELIGIBLE
ENTITIES.—The term ‘‘eligible 
entities’’ means— 
(A) an institution of higher education; 
(B) a National Laboratory; 
(C) a Federal research agency; 
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(D) a State research agency; 
(E) a nonprofit research organization; 
(F) a private sector entity; or 
(G) a consortium of 2 or more entities de-
scribed in subparagraph (A) through (F). 
Æ 
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