Artificial Intelligence in Conventional and Renewable Energy: Regulatory Landscape, Risks and Opportunities for Counsel and Projects

Renewable and fossil energy and grid developers and operators are using AI to enhance performance. However, their counsel must have a complete understanding of the challenges and risks associated with the use of AI, including but not limited to the current regulatory landscape for AI, data privacy, cybersecurity, risk management, and the AI's own energy consumption.

As the legal landscape continues to evolve, the role of AI in the energy sector has expanded. The use of AI can accelerate clean energy initiatives and transition by (1) forecasting energy production and demand, (2) optimizing project design and energy storage, (3) assisting in developing smart grids to adjust to changes in supply and demand, (4) accelerating research and development, and (5) facilitating energy trading. However, these uses of AI along with other potential applications are riddled with challenges that counsel must be equipped to handle.

Listen as our panel discusses the current regulatory landscape for the use of AI in the energy sector, key risks and challenges, and mechanisms of utilizing AI for optimization, management, project design, and other key aspects of energy development.