The Secretary shall carry out a cross-cutting research and development program to advance 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 Secretary shall coordinate across all relevant offices and programs 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, Energy Security, and Emergency Response, the Advanced Research Projects Agency-Energy, and any other relevant office determined by the Secretary.
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-
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 competitiveness.
In carrying out the program under subsection (a), the Secretary shall-
Not later than 6 months after publication of the study described in section 9451(d)(1)(C) of this title, the Secretary shall report to Congress on options for requiring an ethics or risk statement as part of all or a subset of applications for research activities funded by the Department of Energy and performed at Department of Energy national laboratories and user facilities.
The Secretary shall review agency policies for risk management in artificial intelligence related projects and issue as necessary policies and principles that are consistent with the framework developed under section 278h-1(c) of this title (as added by section 5301 of this division).
The Secretary shall review agency policies for data sharing with other public and private sector organizations and issue as necessary policies and principles that are consistent with the standards and guidelines submitted under section 278h-1(e) of this title (as added by section 5301 of this division). In addition, the Secretary shall establish a streamlined mechanism for approving research projects or partnerships that require sharing sensitive public or private data with the Department.
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 appropriations Acts, to support a research project or partnership carried out under this section. The Secretary may not give any special consideration to any agency or entity in return for a donation.
In carrying out the activities authorized in this section, the Secretary shall-
In this section:
The term "Secretary" means the Secretary of Energy.
The term "Department" means the Department of Energy.
The term "national laboratory" has the meaning given such term in section 15801 of title 42.
The term "eligible entities" means-
There are authorized to be appropriated to the Department to carry out this section-
15 U.S.C. § 9461
EDITORIAL NOTES
REFERENCES IN TEXTSection 5301 of this division, referred to in subsecs. (f) and (g), means section 5301 of div. E of Pub. L. 116-283, 134 Stat. 4536.
- artificial intelligence
- The term "artificial intelligence" means a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations or decisions influencing real or virtual environments. Artificial intelligence systems use machine and human-based inputs to-(A) perceive real and virtual environments;(B) abstract such perceptions into models through analysis in an automated manner; and(C) use model inference to formulate options for information or action.
- machine learning
- The term "machine learning" means an application of artificial intelligence that is characterized by providing systems the ability to automatically learn and improve on the basis of data or experience, without being explicitly programmed.