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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Meaningful Explanations of Black Box AI Decision Systems

February 1, 2023

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Authors

Dino Pedreschi

University of Pisa


Fosca Giannotti

University of Pisa


Riccardo Guidotti

University of Pisa


Anna Monreale

University of Pisa


Salvatore Ruggieri

University of Pisa


Franco Turini

University of Pisa


DOI:

10.1609/aaai.v33i01.33019780


Abstract:

Black box AI systems for automated decision making, often based on machine learning over (big) data, map a user’s features into a class or a score without exposing the reasons why. This is problematic not only for lack of transparency, but also for possible biases inherited by the algorithms from human prejudices and collection artifacts hidden in the training data, which may lead to unfair or wrong decisions. We focus on the urgent open challenge of how to construct meaningful explanations of opaque AI/ML systems, introducing the local-toglobal framework for black box explanation, articulated along three lines: (i) the language for expressing explanations in terms of logic rules, with statistical and causal interpretation; (ii) the inference of local explanations for revealing the decision rationale for a specific case, by auditing the black box in the vicinity of the target instance; (iii), the bottom-up generalization of many local explanations into simple global ones, with algorithms that optimize for quality and comprehensibility. We argue that the local-first approach opens the door to a wide variety of alternative solutions along different dimensions: a variety of data sources (relational, text, images, etc.), a variety of learning problems (multi-label classification, regression, scoring, ranking), a variety of languages for expressing meaningful explanations, a variety of means to audit a black box.

Topics: AAAI

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HOW TO CITE:

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini Meaningful Explanations of Black Box AI Decision Systems Proceedings of the AAAI Conference on Artificial Intelligence (2019) 9780-9784.

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini Meaningful Explanations of Black Box AI Decision Systems AAAI 2019, 9780-9784.

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini (2019). Meaningful Explanations of Black Box AI Decision Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 9780-9784.

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini. Meaningful Explanations of Black Box AI Decision Systems. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.9780-9784.

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini. 2019. Meaningful Explanations of Black Box AI Decision Systems. "Proceedings of the AAAI Conference on Artificial Intelligence". 9780-9784.

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini. (2019) "Meaningful Explanations of Black Box AI Decision Systems", Proceedings of the AAAI Conference on Artificial Intelligence, p.9780-9784

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini, "Meaningful Explanations of Black Box AI Decision Systems", AAAI, p.9780-9784, 2019.

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini. "Meaningful Explanations of Black Box AI Decision Systems". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.9780-9784.

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini. "Meaningful Explanations of Black Box AI Decision Systems". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 9780-9784.

Dino Pedreschi||Fosca Giannotti||Riccardo Guidotti||Anna Monreale||Salvatore Ruggieri||Franco Turini. Meaningful Explanations of Black Box AI Decision Systems. AAAI[Internet]. 2019[cited 2023]; 9780-9784.


ISSN: 2374-3468


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