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Understand the paper: An explainable AI decision-support-system to automate loan underwriting

Muhammad Rehman ZafarTotal time needed: ~3 hours
Learning Objectives
Understanding belief-rule-base (BRB) approach to exaplain AI models
Potential Use Cases
Automate loan underwriting
Target Audience
INTERMEDIATEPeople with basic knowledge on machine learning and explainable AI.
Go through the following annotated items in order:
VIDEO 1. Explaining the decisions of automated loan decision support system
  • Manual underwriting are paper based and incovnient, can we automate the underwriting process?
  • Can we take an advantage of explainable AI to understand the decisions?
60 minutes
PAPER 2. Understanding Belief Rule Base (BRB) expert system
  • What is Belief Rule Base (BRB) expert system?
30 minutes
PAPER 3. A strategy to interpret BRB expert System
  • How can we interpret BRB expert system locally and globally?
30 minutes
PAPER 4. Explaining automated decisions of Belief Rule Based loan underwritings expert system
  • How to deal with lack of explainability in the AI model?
  • How to represent knowledge by using rules?
  • What are the limitations of Belief Rule Based expert systems?
60 minutes

Concepts Convered