Audience asked where responsibility for AI bias lies; presenters said both vendors and users have roles

During the audience Q&A, a participant identified as Tom Petros asked: "Thoughts on where the responsibility lies in addressing bias in LLM training improvements or in human prompting refinements?" Gadeau replied that responsibility is shared: "to me, that's a conversation of, like, things you can control and things you can't," recommending that individual users practice responsible prompting and that vendors and policymakers address structural problems.

On lawsuits and liability, Gadeau said there are many ongoing legal cases against AI companies — primarily for hallucinations and safety incidents — and that hiring‑related litigation tied to screening tools has already occurred and sometimes settled. Deborah Ortloff added that users contributing to free models should be mindful of privacy and avoid submitting personally identifying information to public services.