U.S. Representative Mr. Williams of New York recently introduced the “Department of Energy Artificial Intelligence Act of 2024” to the U.S. House of Representatives. The bill, aimed at enhancing the U.S. Department of Energy’s (DOE) capabilities in artificial intelligence (AI) research, seeks to bolster AI tools, systems, and workforce development to address critical energy, national security, and scientific challenges.
The bill proposes a comprehensive framework for AI research and development within the DOE, with the goal of advancing scientific discovery, improving energy efficiency, and ensuring the United States’ technological competitiveness. The bill is set to establish critical research areas, allocate resources for high-performance computing infrastructure, and provide support for the workforce needed to develop advanced AI systems.
The Act mandates the DOE to focus on several key research areas, including the application of AI systems to large-scale simulations of natural phenomena and energy processes. This research will enhance the DOE’s ability to address complex scientific questions through AI-driven insights and data analysis.
Among the major topics of interest is the study of applied mathematics, computer science, and statistical methods, all foundational to the development of robust AI systems. The Act emphasizes the importance of research on the aggregation and curation of large-scale datasets for emerging AI applications, such as energy simulations and other priority research areas within the DOE’s mission. This provision aims to address data scarcity, a critical challenge in advancing AI capabilities for national and energy security applications.
The bill also calls for upgrades to existing DOE computing facilities to support the development, training, and evaluation of advanced AI systems. New computing capabilities will be established to manage data and enable high-performance computing, necessary for the DOE’s AI research program. This infrastructure will be vital for creating AI systems that can tackle pressing scientific, energy, and security challenges.
The DOE will also establish at least one testbed for evaluating energy-efficient AI training and inference algorithms. This testbed will facilitate cooperation between government and industry stakeholders, including AI developers, data center operators, energy utilities, and hardware vendors, to ensure the development of AI systems that meet energy efficiency benchmarks.
A critical component of the Act is the development of trustworthy AI systems. This includes ensuring algorithmic explainability, addressing biases in AI systems, and enhancing the safety, robustness, and security of AI technologies. The DOE will be required to develop analytical methods for identifying and mitigating biases in AI systems, helping to ensure fair and equitable outcomes across different applications.
To maintain the highest standards of security and reliability, the Act requires the DOE to implement assurance, verification, and validation measures. These efforts are designed to guarantee that AI systems can withstand potential threats, such as cyberattacks, and operate safely in critical infrastructure settings.
The bill acknowledges the growing demand for energy to power data centers and computing resources that support AI systems. To address this, the Act requires the DOE to report to Congress on the growth of computing data centers, the potential risks to U.S. energy security posed by this expansion, and emerging technologies that can improve energy efficiency.
The report will evaluate the impact of AI and advanced computing on hardware and software systems, and it will make recommendations for policy changes to ensure the domestic deployment of data center resources. These efforts are aimed at preventing the offshoring of U.S. data resources and ensuring that the country maintains its leadership in AI and advanced computing technologies.
Recognizing the need for skilled professionals in the AI field, the Act includes provisions for developing the workforce required to support the DOE’s AI initiatives. This includes grants and research opportunities for students, public awareness campaigns about AI-related career paths, and the establishment of new degree and certificate programs in AI-related disciplines.
With $300 million authorized annually for the fiscal years 2025 to 2030, the legislation represents a significant investment in the future of AI research in the United States. By advancing the DOE’s capabilities in AI and fostering collaboration across sectors, the bill aims to unlock new possibilities in energy efficiency, scientific discovery, and national security.
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