Vision

Transform the Department of Energy into a world leading AI enterprise by accelerating research, development, delivery, demonstration and adoption of responsible and trustworthy AI.

Mission

Coordinate responsible and trustworthy artificial intelligence (AI) governance and capabilities.  AITO is the connective tissue for all things AI at the Department of Energy:

  • Advocate for program offices
  • Provide advice on trustworthy AI/ML strategies
  • Expand public, private and international partnerships, policy and innovations

All in support of National AI Leadership and Innovation.

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DOE AI Risk Management Playbook

AI is one of today’s most influential socio-technologies, and the use and development of AI systems may seem intimidating when considering risks, especially unforeseen ones.

Developed in consultation with NIST, the DOE’s AI Risk Management Playbook (AI RMP) is an interactive reference guide that contains recommended mitigations to advance responsible and trustworthy (R&T) AI use and development. Although the AI RMP is not a binding document, it does encompass some of the most common AI risks and preventive considerations including AI equity.

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AI Insights

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DOE Climate Digital Solutions Inventory DOE AI Use Case Inventory FY2022 AI Budget Request

AI Blog

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DOE Announces $115K Grant to Use AI to Improve Sewage in Underserved Communities
The U.S. Department of Energy (DOE) and the Artificial Intelligence and Technology Office (AITO) awarded a grant to Community College Partners Program (C2P2) to Improve Infrastructure/Sewage Outcomes in the Rural Southern United States.
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U.S. Department of Energy Announces Release of the Artificial Intelligence Risk Management Playbook
The Artificial Intelligence Risk Management Playbook is an interactive system that offers users 100+ unique risks and mitigation techniques, with the ability to expand.
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Accelerating the adoption and development of privacy-enhancing technologies (PETs)
Transforming financial crime prevention and boosting pandemic response capabilities through privacy-preserving federated learning
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FDL 2022 Live Showcase Event August 12, 2022
We invite you to join us to review the outcomes of this year’s FDL research cycle conducted in partnership with the DOE’s AI Technology Office (AITO), NASA, USGS, the Luxembourg Space Agency and leaders in commercial AI
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