Greg Hayes

As the need for major infrastructure projects increases, environmental assessments (EAs) are under pressure to become more efficient, predictive, and collaborative. Artificial intelligence (AI) offers powerful opportunities to reimagine the way we assess and communicate environmental impacts – but how do we make these tools actionable for real-world projects? In this interactive, scenario-based session, participants will explore how AI can enhance key stages of the EA process – from constraint mapping and routing to risk forecasting and stakeholder engagement. After a brief introduction and demonstration, attendees will split into facilitated groups to run through a realistic EA project scenario using AI-enabled decision support tools. Each team will explore different priorities, adjust parameters, and interpret AI-generated outputs to simulate real-life trade-offs and planning dynamics. Together, we will compare results and reflect on how AI can accelerate and enrich EA workflows, while identifying limitations and opportunities for future integration.

Associated Document: Riverbend Trail Link - Fictional Case Study

Session Facilitator: Alexia Miljus, GFT