Unverified50% confidenceSolutionExact time
Common industry approaches to training data privacy issues include explicit opt-out mechanisms, anonymizing training data, or committing not to use user data for training.
1
Sources
50%
Confidence
Long-term
Relevance
9/20/2026
First Seen
Sources
Related Entities
Related Claims
Unverified潜在规避手段包括对违法训练数据施加差分隐私噪声以模糊内部表征,或将违法内容与大量正常数据混合稀释76% similarUnverifiedCompanies such as OpenAI provide privacy options to opt out of training data use, whereas third-party proxy sites are not bound by any privacy agreements.75% similarUnverified用户输入通过HTTPS加密传输至服务器,数据是否被纳入模型微调训练集取决于服务商的隐私政策74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/937182API
curl https://kongchang.com/api/v1/knowledge/claims/937182MCP
get_claim(id=937182)