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Logics for Binary-input Classifiers and Their Explanations
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Lorini, Emiliano Liu, Xinghan |
| Copyright Year | 2022 |
| Abstract | We present our work [1, 2] on modal logics for binary-input classifiers and their explanations. They are able to represent classifiers that propositional logic cannot. In particular, black box classifier is understood as uncertainty among admissible classifiers which are coherent with an agent's partial knowledge, and represented in a product modal logic framework. We also briefly show the logics' application to XAI. |
| Related Links | https://hal.science/hal-04308873/file/Beware2023_Classifiers.pdf |
| Issue Number | Session 1: Logic For AI |
| Volume Number | 3319 |
| Conference Proceedings | 1st Workshop on Bias, Ethical AI, Explainability and the Role of Logic and Logic Programming (BEWARE 2022) |
| Language | English |
| Publisher | HAL CCSD CEUR Workshop .org |
| Publisher Date | 2023-12-31 |
| Access Restriction | Open |
| Subject Keyword | Boolean function black box classifier product modal logic explainable AI (XAI |
| Content Type | Text |
| Resource Type | Conference Proceedings |
| Subject | Computer Science |