Responsible Adoption of Artificial Intelligence (AI) in Electric Grid Operations

The rapid integration of artificial intelligence (AI) in the utility transmission and distribution (T&D) sector is revolutionizing traditional grid management practices. As utilities encounter complexities from evolving consumer behaviors and energy integration, AI has become essential for enhancing grid monitoring, fault detection, and operational optimization. However, increased reliance on interconnected technologies introduces significant cybersecurity risks, regulatory challenges, and human factors concerns. This study proposes a responsible, consequence-driven approach to AI implementation, highlighting both its transformative benefits and associated risks. It provides utilities and regulators with a framework for evaluating AI integration, enabling them to navigate challenges and leverage opportunities to enhance grid reliability, efficiency, and resilience. Additionally, this approach provides a framework for vendors to develop digital energy products that incorporate safety and reliability by design.