• Corpus ID: 236986933

Ontology drift is a challenge for explainable data governance

  title={Ontology drift is a challenge for explainable data governance},
  author={Jiahao Chen},
  • Jiahao Chen
  • Published 11 August 2021
  • Computer Science
  • ArXiv
We introduce the needs for explainable AI that arise from Standard No. 239 from the Basel Committee on Banking Standards (BCBS 239), which outlines 11 principles for effective risk data aggregation and risk reporting for financial institutions. Of these, explainable AI is necessary for compliance in two key aspects: data quality, and appropriate reporting for multiple stakeholders. We describe the implementation challenges for one specific regulatory requirement: that of having a complete data… 

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