Counterfactuals and causability in explainable artificial intelligence: Theory, algorithms, and applications

"Why Should I Trust You?"

Marco Túlio Ribeiro, Sameer Singh, Carlos Guestrin · 2016 · 14K citations

Artificial Intelligence, Engineering, Machine Learning +19

On a Method to Measure Supervised Multiclass Model’s Interpretability: Application to Degradation Diagnosis (Short Paper)

Dagstuhl Research Online Publication Server · 2024 · 13.1K citations · Full text

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Alejandro Barredo Arrieta, Natalia Díaz-Rodríguez, Javier Del Ser et al. · Information Fusion · 2019 · 8.1K citations · Full text

Artificial Intelligence, Cognitive Science, Engineering +9

Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Cynthia Rudin · Nature Machine Intelligence · 2019 · 7.9K citations · Full text

Artificial Intelligence, Engineering, Machine Learning +12

From local explanations to global understanding with explainable AI for trees

Scott Lundberg, Gabriel Erion, Hugh Chen et al. · Nature Machine Intelligence · 2020 · 7.7K citations · Full text

Artificial Intelligence, Symbolic Learning, Engineering +13