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Integration of Artificial Intelligence in the Electricity System: A Workshop

In formation

Artificial intelligence (AI) tools are quickly being developed, tested, and deployed throughout the electricity system with the goal of enhancing operations, planning, business management, and regulatory compliance; these tools may include existing machine learning algorithms, tools for interoperability, cyber-physical system, and/or agentic AI systems. Ensuring safe, reliable, and functional integration with existing elements of the electricity system is paramount to enabling the responsible use of AI in this sector. Join the National Academies of Sciences, Engineering, and Medicine for a workshop that will explore how AI can be integrated into the electricity system.

Description

Artificial intelligence (AI) tools are quickly being developed, tested, and deployed throughout the electricity system with the goal of enhancing operations, planning, business management, and regulatory compliance; these tools may include existing machine learning algorithms, tools for interoperability, cyber-physical system, and/or agentic AI systems. Ensuring safe, reliable, and functional integration with existing elements of the electricity system is paramount to enabling the responsible use of AI in this sector.
A planning committee of the National Academies of Sciences, Engineering, and Medicine will organize a public workshop to explore the integration of AI in the electricity system. Workshop discussions will include:

  • An overview of current efforts to integrate AI tools into electricity system operations
  • Current challenges and potential solutions for integration of AI in the electricity system, such as considerations of interpretability and explainability of AI outputs, tools, and systems, or the potential role of datacenter infrastructure in flexible grid management
  • How operational reliability and critical infrastructure safety (including cybersecurity) can be maintained for systems that integrate AI elements
  • Critical roles for humans during the testing, deployment, and use of AI tools such as navigating trust, human-AI teaming, automation, and where AI is integrated into a workflow
  • The impacts of AI adoption on education and workforce development in the electricity sector
  • Development opportunities and future research needed to enhance the development of the electricity system and of AI tools for critical infrastructure systems
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