可解释的人工智能:人工智能的新时代

Ashraf Darwish
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引用次数: 0

摘要

近年来,人工智能(AI)以其先进的方法和创新的应用成为一门新兴学科。随着人工智能概念和技术的快速发展,最近出现了一种趋势,即在范式中增加可解释性和可解释性。随着人工智能应用程序的日益复杂,它们与数据分析的关系,以及在医疗、国防、司法和自动驾驶汽车等各种关键应用中要求苛刻的应用程序的普遍存在,越来越需要将结果与领域专家的合理解释联系起来。所有这些因素都促成了可解释人工智能(XAI)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Explainable Artificial Intelligence: A New Era of Artificial Intelligence
Recently, Artificial Intelligence (AI) has emerged as an emerging with advanced methodologies and innovative applications. With the rapid advancement of AI concepts and technologies, there has been a recent trend to add interpretability and explainability to the paradigm. With the increasing complexity of AI applications, their a relationship with data analytics, and the ubiquity of demanding applications in a variety of critical applications such as medicine, defense, justice and autonomous vehicles , there is an increasing need to associate the results with sound explanations to domain experts. All of these elements have contributed to Explainable Artificial Intelligence (XAI).
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