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Found 4 papers, 2 papers with code
Safe machine learning model release from Trusted Research Environments: The AI-SDC package
We present AI-SDC, an integrated suite of open source Python tools to facilitate Statistical Disclosure Control (SDC) of Machine Learning (ML) models trained on confidential data prior to public release.
GRAIMATTER Green Paper: Recommendations for disclosure control of trained Machine Learning (ML) models from Trusted Research Environments (TREs)
This is a complex topic, and it is unreasonable to expect all TREs to be aware of all risks or that TRE researchers have addressed these risks in AI-specific training.
Holdouts set for predictive model updating
To address this, we propose updating using a `holdout set' - a subset of the population that does not receive interventions guided by the risk score.
Model updating after interventions paradoxically introduces bias
Recent discussions have highlighted potential problems in the updating of a predictive score for a binary outcome when an existing predictive score forms part of the standard workflow, driving interventions.
