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Are we logging or storing user input data in ways that may violate privacy?
Are we logging or storing user input data in ways that may violate privacy?
AI systems, particularly Large Language Models (LLMs), may log user inputs and outputs for debugging or model fine-tuning, potentially storing sensitive data without explicit user consent. Logged data could be included in training datasets, making it possible for adversaries to conduct data poisoning attacks, influencing model behavior. Even metadata from logs may reveal sensitive details about users.
If you answered Yes then you are at risk
If you are not sure, then you might be at risk too
Recommendations
- Implement strict access controls and data minimization techniques to prevent excessive logging.
- Provide opt-in or opt-out options for data collection and obtain explicit consent where needed.
- Regularly audit and delete logs containing personal or sensitive data.
- Use differential privacy, encryption, or synthetic data to minimize risks while analyzing logs.
- Detect and mitigate adversarial attacks aimed at poisoning training data.