PAPERExplaining automated decisions of Belief Rule Based loan underwritings expert system
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Covers: theory of Automated decision making
Estimated time needed to finish: 60 minutes
Questions this item addresses:
  • 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?
How to use this item?

Read complete paper for better understanding

URL: https://doi.org/10.1016/j.eswa.2019.113100
Author(s) / creator(s) / reference(s)
Dr. Swati Sachan
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Recipe
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Understand the paper: An explainable AI decision-support-system to automate loan underwriting

Collaborators
Total time needed: ~3 hours
Objectives
Understanding belief-rule-base (BRB) approach to exaplain AI models
Potential Use Cases
Automate loan underwriting
Who is this for ?
INTERMEDIATEPeople with basic knowledge on machine learning and explainable AI.
Click on each of the following annotated items to see details.
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 Covered

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