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Asking 'why' in AI: Explainability of intelligent systems - perspectives and challenges

Preece, Alun David ORCID: 2018. Asking 'why' in AI: Explainability of intelligent systems - perspectives and challenges. Intelligent Systems in Accounting, Finance and Management 25 (2) , pp. 63-72. 10.1002/isaf.1422

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Recent rapid progress in machine learning (ML), particularly so‐called ‘deep learning’, has led to a resurgence in interest in explainability of artificial intelligence (AI) systems, reviving an area of research dating back to the 1970s. The aim of this article is to view current issues concerning ML‐based AI systems from the perspective of classical AI, showing that the fundamental problems are far from new, and arguing that elements of that earlier work offer routes to making progress towards explainable AI today.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Crime and Security Research Institute (CSURI)
Publisher: Wiley
ISSN: 1055-615X
Date of First Compliant Deposit: 2 May 2018
Date of Acceptance: 29 January 2018
Last Modified: 20 Jun 2024 21:40

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