A Survey of Methods for Explaining Black Box Models
A Survey of Methods for Explaining Black Box Models
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DOI：
10.1145/3236009
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发表时间：
2019-01-01
影响因子：
16.6
通讯作者：
Pedreschi, Dino
中科院分区：
文献类型：
--
作者：
Guidotti, Riccardo;Monreale, Anna;Pedreschi, Dino
近年来，许多精确的决策支持系统已经被构建为黑盒，即隐藏其内部逻辑给用户的系统。这种缺乏解释的情况构成了一个实际和道德问题。文献报道了许多旨在克服这一关键弱点的方法，有时是以牺牲准确性为代价的。黑盒决策系统的应用是多种多样的，每种方法通常都是为特定的问题提供解决方案，因此，它明确或隐含地描述了自己的可解释性和解释的定义。本文的目的是提供一个分类的主要问题，在文献中的解释和黑箱系统的类型的概念。给定问题定义、黑盒类型和期望的解释，这个调查应该帮助研究者找到对他自己的工作更有用的建议。建议的分类方法打开黑盒模型也应该是有用的，把许多研究开放的问题的角度。
In recent years, many accurate decision support systems have been constructed as black boxes, that is as systems that hide their internal logic to the user. This lack of explanation constitutes both a practical and an ethical issue. The literature reports many approaches aimed at overcoming this crucial weakness, sometimes at the cost of sacrificing accuracy for interpretability. The applications in which black box decision systems can be used are various, and each approach is typically developed to provide a solution for a specific problem and, as a consequence, it explicitly or implicitly delineates its own definition of interpretability and explanation. The aim of this article is to provide a classification of the main problems addressed in the literature with respect to the notion of explanation and the type of black box system. Given a problem definition, a black box type, and a desired explanation, this survey should help the researcher to find the proposals more useful for his own work. The proposed classification of approaches to open black box models should also be useful for putting the many research open questions in perspective.