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Data influence influence functions
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Classroom Contents
An Overview of Local Explainability Methods and Their Evaluation in AI
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- 1 Announcements
- 2 It's hard to opt-out
- 3 Confidence scores
- 4 Explanations in plain English free-text / chain-of-thoughts
- 5 Input attribution gradient-based & select-then-predict
- 6 Feature interactions effective attention
- 7 Concept-based explanations TCAV
- 8 Data influence influence functions
- 9 Contrastive explanations contrastive editing
- 10 Explainability as a dialog
- 11 Taxonomy of evaluation of explanations
- 12 Simulatability
- 13 Why are application-grounded evals of explanations scarce in NLP?
- 14 Application-grounded evaluations
- 15 Trust in AI
