Why Did The Model Do That? Debugging the Ghost in the Machine

My planned outline for the talk is as follows:

• Intro and opening hook (4 mins): A look at a clearly biased model and why "black box" decisions fail to establish trust

• The XAI Decision Tree (17 mins):

  • A practical overview of the landscape and walking through the tree: Selecting the right method based on your model and data
  • Mapping these methods to specific Python libraries and frameworks (e.g., shap, lime, captum, transformers-interpret, alibi, dalex, ...)

• Closing and Take-away (4 mins)

• Q&A and Buffer (5 mins)