Explainable ai for credit assessment in banks

HIGHLIGHTS

• who: Petter Eilif de Lange et al. from the InstitutionsDepartment of International Business, Norwegian University of Science and have published the article: Explainable AI for Credit Assessment in Banks, in the Journal: (JOURNAL)
• what: The aim of this study is to apply explainable artificial_intelligence (XAI) techniques to credit scoring in banking to be able to interpret and justify black box-like artificial_intelligence (AI) models` predictions. The authors apply the XAI framework to LightGBM, a Gradient Boosting Model (GBM), on a unique dataset generously provided by a Norwegian bank. The authors propose a method for analyzing . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or E-mail:

  If you don't have an account, you can create one here.