An Interpretable Graph-based Mapping of Trustworthy Machine Learning Research
Noemi Derzsy,
Subhabrata Majumdar,
Rajat Malik
Abstract:There is an increasing interest in ensuring machine learning (ML) frameworks behave in a socially responsible manner and are deemed trustworthy. Although considerable progress has been made in the field of Trustworthy ML (TwML) in the recent past, much of the current characterization of this progress is qualitative. Consequently, decisions about how to address issues of trustworthiness and future research goals are often left to the interested researcher. In this paper, we present the first quantitative approa… Show more
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