A municipal parking-garage overnight crew keeps pasting gate-camera stills into a public chatbot because “nobody said not to.” Which organizational mitigation directly addresses this pattern?
Select an answer to reveal the explanation.
Short Explanation
If nobody posted the house rules, overnight staff will invent their own. Training plus clear policies tell testers what must not go into a public chatbot—gate-camera stills included. A community of practice, more images, or hotter sampling will not replace that guidance.
Full Explanation
Parking-garage overnight crews pasting gate-camera stills into a public chatbot because “nobody said not to” show why resources training and clear policies for responsible GenAI use in testing are required. House rules must exist before habit invents unsafe norms.
Standing up a Chapter 5 communities-of-practice program before any policy exists fails as the direct fix for this pattern—CoP helps culture later, but clear policy/training address the immediate misuse. Switching overnight tasks to image generation fails because more images do not fix policy gaps and can worsen energy and leakage issues. Raising temperature to paraphrase stills fails as a privacy control.
Exam caveat: policy and training are organizational mitigations; they complement technical controls rather than replacing them.
Operational check: publish an allowed-tools list, ban public chatbots for camera stills, train overnight staff with examples, monitor for policy exceptions, and discipline repeat pastes of garage imagery into unapproved models. Garage overnight SOPs should name approved GenAI tools, forbid public chatbots for camera stills, and include a signed acknowledgment during onboarding and each season refresh. Supervisors should spot-check chat histories for stills and escalate policy breaches the same day rather than waiting for a quarterly CoP meeting.