Model authentication and authentication

metric

ML-A1.1-01S: ML model is accessible through an access protocol that supports authentication and authorization. Test: 1) The indicator can be evaluated by assessing whether an authentication and authorisation process is present in the protocol.

Principle: A

Rationale: The indicator requires that if the ML model or local environment indicates a degree of additional protection, then the access protocol must support authentication and authorisation of people and/or machines.

FAIR Metrics: A1.1

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FAIR for Machine Learning Models

This rubric consists of assessment metrics that evaluate the FAIR maturity of ML models. The metrics...

FAIR machine learning model FAIR assessment NFDI4DataScience

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