Concern 68 · Working draft · editorial review in progress
Log-based leakage
Log-based leakage happens when records of AI use—such as prompts, answers, or debugging details—are exposed or reused inappropriately.
Understanding the concern
A conversation can leave copies in support tools, monitoring systems, and backups. People may focus on the chatbot's immediate reply while overlooking those stored records. Access, retention, and later training use are separate decisions.
This is not necessarily a flaw in the model's learned behavior. It is often a problem in the service around it. Teams should explain which records they keep and avoid collecting sensitive details without a clear need and suitable protection.
An example
A private question remains visible in a troubleshooting dashboard long after the chat window is closed.
Illustrative unless identified as a documented case.
Words in plain English
- AI
- Software that learns patterns from examples or uses rules to perform tasks such as recognizing images or generating text. It can make mistakes and does not understand every situation as a person would.
- Model
- The learned part of an AI system. It uses patterns found during training to produce an answer or prediction.
- Training
- The process of using examples to shape how an AI model behaves. Learning patterns from material does not establish that the material is true or fair.
- Prompt
- The instructions or information given to an AI to guide its response.
Evidence and its limits
Supports examining disclosure and personal-data processing; the dashboard scenario is illustrative, not a named breach.
OWASP · Security guidance
LLM02:2025 Sensitive Information Disclosure ↗ (opens in a new tab)Describes exposure of personal and confidential information and defensive considerations; not proof of a particular incident.
European Data Protection Board · December 2024 · Regulatory opinion overview
Opinion on personal data and AI models ↗ (opens in a new tab)Discusses anonymity, legitimate interest, and unlawful processing case by case. Consent is not the only potential lawful basis.
Broader frameworks and background
These resources provide context. They do not establish every claim in this concern.
A question to discuss
Who can read the logs, how long are they kept, and can they be reused for another purpose?
Keep track of different views, what needs checking, and any next step in your own discussion notes.
Open discussion notes →Principles for the conversation
Before you finish · reflect together
Virtues and principles to consider
Virtues are qualities we practice in how we treat people and make choices. They are not scores for judging someone. Use these ideas to explore what a thoughtful response could look like.
Truthfulness
Truthfulness means making claims that match the evidence and being clear about what we do not know. It includes correcting mistakes rather than protecting a polished story.
Check sources, label guesses, and distinguish a trial result from a proven benefit. If AI helped produce a claim, someone still needs to take responsibility for checking it.
Ask together: What can we honestly say, and what still needs checking?
Justice
Justice means fair treatment, fair procedures, and attention to who receives benefits and burdens. It asks whether people with less power can be heard and seek repair.
Look at outcomes across different groups and individual cases. Provide a usable way to challenge decisions and correct harm. Equal wording in a policy does not guarantee equal treatment in practice.
Ask together: Who benefits, who bears the cost, and who can challenge the decision?
Stewardship
Stewardship means caring for resources and systems that others depend on, including people who will use them later. It looks beyond the benefit of a quick launch.
Plan for maintenance, energy use, data protection, and eventual shutdown. Ask who will look after the tool when the original team moves on and how future users can avoid inheriting hidden costs.
Ask together: What are we responsible for caring for over time?
Editorial ratings
These are editorial judgments from the register, not measured probabilities or predictions about your situation.
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