FLCC presenter recommends practical bias mitigations: Nightshade, Latimer, NotebookLM and prompting
Gadoo recommended a toolkit approach: defensive image tools (Nightshade), inclusive models (Latimer), source‑controllable assistants (NotebookLM), running LLMs locally where feasible, and human review plus careful prompting to reduce bias risks.
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In the webinar, Gadoo outlined practical steps for creators and organizations to reduce bias. For image creators he described Nightshade, a tool that perturbs image pixels to prevent inclusion in large training corpora; for model selection he highlighted 'Latimer' as an example of an inclusive‑focused commercial model.
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