Papercat Thursday 12/11/2020

Proud to present the research paper contributed by colleagues at neurocat GmbH & Volkswagen AG.
Risk Assessment for ML models is of paramount importance to understand the failure modes and improve the models before deployment.
Our paper defines the standardized way practitioners can evaluate the risk of deploying a given ML model. Also, provides an opportunity for regulatory authorities to design certificates for ML models in specified environments.

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Link: Risk Assessment for Machine Learning Models

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