A method is presented for calculating a transparency metric for ML model pipelines by analyzing the visibility of contributions from data sources and human developers.
Towards data poisoning attacks in crowd sensing systems,
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Quantifying Transparency of Machine Learning Systems through Analysis of Contributions
A method is presented for calculating a transparency metric for ML model pipelines by analyzing the visibility of contributions from data sources and human developers.