Research and innovation
AI and Data for Stormwater Decision Support
AI can help organize information, identify patterns and support decisions, but it should not hide uncertainty, replace accountable professional judgement or invent official requirements.
Why this matters
AI and Data for Stormwater Decision Support
AI can help organize information, identify patterns and support decisions, but it should not hide uncertainty, replace accountable professional judgement or invent official requirements.
Research and innovation
Use AI for defined decisions
Start with a clear operational, planning, education or research question and appropriate source data.
Research and innovation
Keep humans accountable
Qualified people should review outputs, document assumptions and retain responsibility for decisions.
Research and innovation
Build transparent systems
Data provenance, model limits, privacy, bias, security and update processes should be visible and governed.
Common questions
Clear scope and practical next steps.
Can AI approve designs or permits?
No. Applicable authorities and qualified professionals remain responsible for approvals and regulated decisions.
What data is useful?
Examples include rainfall, asset records, topography, maintenance, monitoring, calls, inspections and documented flood events, subject to governance and privacy.
Regional Stormwater Management
Build knowledge. Strengthen practice. Connect Ontario.
Use RSM training, certification, standards, public education and municipal-resource pathways to find the next responsible step.