تقرير
What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks
العنوان: | What Does Evaluation of Explainable Artificial Intelligence Actually Tell Us? A Case for Compositional and Contextual Validation of XAI Building Blocks |
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المؤلفون: | Sokol, Kacper, Vogt, Julia E. |
سنة النشر: | 2024 |
المجموعة: | Computer Science |
مصطلحات موضوعية: | Computer Science - Human-Computer Interaction, Computer Science - Artificial Intelligence |
الوصف: | Despite significant progress, evaluation of explainable artificial intelligence remains elusive and challenging. In this paper we propose a fine-grained validation framework that is not overly reliant on any one facet of these sociotechnical systems, and that recognises their inherent modular structure: technical building blocks, user-facing explanatory artefacts and social communication protocols. While we concur that user studies are invaluable in assessing the quality and effectiveness of explanation presentation and delivery strategies from the explainees' perspective in a particular deployment context, the underlying explanation generation mechanisms require a separate, predominantly algorithmic validation strategy that accounts for the technical and human-centred desiderata of their (numerical) outputs. Such a comprehensive sociotechnical utility-based evaluation framework could allow to systematically reason about the properties and downstream influence of different building blocks from which explainable artificial intelligence systems are composed -- accounting for a diverse range of their engineering and social aspects -- in view of the anticipated use case. Comment: Published in Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Systems (CHI EA '24) |
نوع الوثيقة: | Working Paper |
DOI: | 10.1145/3613905.3651047 |
URL الوصول: | http://arxiv.org/abs/2403.12730 |
رقم الأكسشن: | edsarx.2403.12730 |
قاعدة البيانات: | arXiv |
DOI: | 10.1145/3613905.3651047 |
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