As artificial intelligence continues to advance, solid waste planning and management are shiftingtoward a more data-informed approach. This session looks at how AI tools, such as machine learning and generative models, are being thoughtfully integrated into key areas like landfill gas tuning, leachate monitoring, airspace forecasting, and permit planning. Drawing from real-world examples, the session will highlight how AI is currently being used to support transfer station operations, construction estimating, predictive maintenance, and the modeling of solid waste system behavior. Attendees will also gain insight into the emerging ethical considerations that accompany these technologies, including algorithmic bias, data quality, cybersecurity concerns, and the importance of maintaining human oversight in public-serving infrastructure.

The AI regulatory landscape has rapidly evolved, with national and international guidance emphasizing responsible innovation, transparency, and risk management. These shifts are influencing how public agencies, consultants, and solid waste operations adopt AI-based tools, particularly those affecting environmental compliance, safety, and long-term planning.

Attendees will leave with an industry-specific AI Readiness Checklist as a framework for evaluating the appropriateness of AI in planning and management workflows, and a clearer understanding of how to balance innovation with ethical responsibility in solid waste system management. Generative AI will be used in the development of this presentation to support slide organization and conceptual visualization of AI-assisted solid waste models.