AI · Theory

Explainable AI (XAI)

Theory

146/215

Explainable AI (XAI)

XAI tries to show why a model decided: feature importance, saliency on an X-ray, rule lists, counterfactuals (“if income were higher, loan yes”). Banks and hospitals need this. A 2-billion-parameter net is not self-explaining.

Don’t promise full transparency. Say useful hints for a human reviewer. Same topic as explainable-artificial-intelligence-xai.

Output — idea / do / check for Explainable AI (XAI). Fill those three in the viva.

Exam tip

One method + one high-stakes domain.

Example

# Explainable AI (XAI)
print("idea :", "Explainable AI (XAI)")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Explainable AI (XAI). Fill those three in the viva.

Short notes

DefWhy did the model decide?
RuleImportance / saliency / rules.

AI · Theory

Explainable AI (XAI)

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Theory

146/215

Explainable AI (XAI)

Don’t promise full transparency. Say useful hints for a human reviewer. Same topic as explainable-artificial-intelligence-xai.

Output — idea / do / check for Explainable AI (XAI). Fill those three in the viva.

Exam tip

One method + one high-stakes domain.

Example

# Explainable AI (XAI)
print("idea :", "Explainable AI (XAI)")
print("do   : one tiny example on paper")
print("check: one failure case")

Output: idea / do / check for Explainable AI (XAI). Fill those three in the viva.

Short notes

DefWhy did the model decide?
RuleImportance / saliency / rules.

Explainable AI (XAI)

Example

Short notes

Questions

Explainable AI (XAI)

Example

Short notes

Questions