论文标题
施工中的可解释人工智能：内容，上下文，过程，结果评估框架
Explainable Artificial Intelligence in Construction: The Content, Context, Process, Outcome Evaluation Framework
论文作者
论文摘要
可解释的人工智能是一个新兴而不断发展的概念。它对建筑的影响虽然尚未实现，但在可预见的将来将是深远的。尽管如此，Xai仍受到建设的关注有限。结果，没有任何评估框架传播以使建筑组织能够了解XAI的内容，原因，方式和何时。我们的论文旨在通过开发内容，上下文，过程和结果评估框架来填补这一空白，该框架可用于证明XAI的采用和有效管理是合理的。在介绍和描述了这个新颖的框架之后，我们讨论了它对未来研究的影响。尽管我们的新颖框架是概念性的，但它为建筑组织提供了参考框架，以实现XAI业务价值和收益。
Explainable artificial intelligence is an emerging and evolving concept. Its impact on construction, though yet to be realised, will be profound in the foreseeable future. Still, XAI has received limited attention in construction. As a result, no evaluation frameworks have been propagated to enable construction organisations to understand the what, why, how, and when of XAI. Our paper aims to fill this void by developing a content, context, process, and outcome evaluation framework that can be used to justify the adoption and effective management of XAI. After introducing and describing this novel framework, we discuss its implications for future research. While our novel framework is conceptual, it provides a frame of reference for construction organisations to make headway toward realising XAI business value and benefits.
