What is the primary privacy risk associated with some AI tools?	That the tool may use your inputs to train future models, influencing future outputs.
When selecting an AI tool for sensitive data, what must the user match the tool to?	The level of data protection required for the task (e.g., paid accounts vs. free accounts).
What is the most effective strategy for using AI while minimizing privacy risk?	Breaking complex tasks into smaller, component parts to avoid sharing sensitive information.
When preparing data for AI analysis, what is the recommended starting point to determine necessary information?	Working backward from the actual analytical goal.
What is the purpose of "data hygiene" when sharing sensitive information with AI?	To sanitize the document by removing or generalizing identifying information (PII).
What is the benefit of removing identifying information (like names or contacts) from data used for pattern analysis?	It allows for pattern analysis while maintaining privacy and reducing the risk of exposure.
If a privacy issue occurs after sharing data with an AI tool, what are the immediate options?	Deleting the conversation or requesting data deletion through the platform's privacy process.
What should be considered a "red flag" when evaluating an AI provider's privacy commitment?	The absence of clear, detailed data policy information and privacy resources.
What is the key difference between a tool's data handling policies and a user's responsibility?	The user must apply "Problem Awareness and Platform Awareness" before starting a project.
Name three types of information that should often be stripped or generalized during data sanitization.	Names, contact details, and specific location/dollar amounts.