Speakers recommended inclusive models, dataset audits and practical prompts, naming tools such as Latimer, NotebookLM and Nightshade as options for curating sources and protecting creators' work from being absorbed into training datasets.

To reduce bias, presenters suggested auditing training data, using tools that preserve source citations (NotebookLM), choosing culturally fluent vendors (example: Latimer), and selective local LLM deployment; they also described Nightshade as an artist defense.

Council heard staff and police describe recent implementation of automated license-plate readers and static 'Flock' cameras, including a 30-day rolling retention requirement under Oregon law; councilors raised privacy and auditing questions and asked for a six-month, data-driven status update.