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Council discusses AI, modeling (ROMS/Beck) and frames May meeting priorities
Summary
Members considered potential May agenda items, including modeling (ROMS/Beck and Bay models), AI use cases for environmental data and how to address equity when presenting web content. Members agreed to explore a May focus on wildfire monitoring or a modeling 'grab bag' depending on speaker availability.
Members used the latter portion of the meeting to suggest topics for upcoming agendas and to discuss generative AI and modeling applications for monitoring.
Caitlin Kalua and others proposed the council consider modeling topics — including the ROMS/Beck model review and Bay Area modeling work — for the May meeting, and discussed timing for empirical monitoring updates that would complement model outputs.
AI discussion: participants noted exploratory projects that apply machine learning to satellite remote sensing, LIDAR and microscopy for HAB identification. Speakers cautioned about data quality, equity in training datasets and environmental costs of large models. Greg Gerhardt said the State Water Board is preparing pilots and internal guidance for limited, controlled use of generative AI and highlighted that statewide CIO guidance is still developing.
Why this matters: AI and models could improve detection and forecasting of water conditions, but members emphasized that projects must include human oversight, transparent training data and strong data infrastructure before deployment.
Next steps: members asked staff to pursue modeling presenters for the May meeting and to continue tracking AI‑related pilots and guidance. The council also agreed to include equity considerations and working‑group guidance when evaluating web content and tools.
