A proof of concept on dialogue games for explainable artificial intelligence
Recent years have witnessed a groundbreaking number of accurate artificial intelligence-based algorithms. However, their oftentimes obscure nature is known to prevent end users from a safe and responsible use or leads to decreased trustworthiness in their predictions or decisions. In this work, we p...
| Autores: | , , |
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| Tipo de recurso: | capítulo de libro |
| Fecha de publicación: | 2024 |
| País: | España |
| Institución: | Universidad de Santiago de Compostela (USC) |
| Repositorio: | Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela |
| Idioma: | inglés |
| OAI Identifier: | oai:minerva.usc.gal:10347/42602 |
| Acceso en línea: | https://hdl.handle.net/10347/42602 |
| Access Level: | acceso abierto |
| Sumario: | Recent years have witnessed a groundbreaking number of accurate artificial intelligence-based algorithms. However, their oftentimes obscure nature is known to prevent end users from a safe and responsible use or leads to decreased trustworthiness in their predictions or decisions. In this work, we present a novel dialogue game that serves as an explanatory dialogue model to communicate contrastive, selected, and social explanations from an interpretable rule-based classifier to an end user. In addition, we show how it can address the problem of diversity for such explanations via an empirical human evaluation study. |
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