Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

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

Preece, Alun David ORCID: https://orcid.org/0000-0003-0349-9057 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

[thumbnail of Asking Why in AI - Explainability of Intelligent Systems - Perspectives and Challenges.pdf]
Preview
PDF - Submitted Pre-Print Version
Download (149kB) | Preview
[thumbnail of Preece-2017-Intelligent_Systems_in_Accounting%252C_Finance_and_Management.pdf]
Preview
PDF - Accepted Post-Print Version
Download (440kB) | Preview

Abstract

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: 27 Mar 2024 16:43
URI: https://orca.cardiff.ac.uk/id/eprint/111128

Citation Data

Cited 89 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics