A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities

Fabrizio Nunnari, Daniel Sonntag
{"title":"A Software Toolbox for Deploying Deep Learning Decision Support Systems with XAI Capabilities","authors":"Fabrizio Nunnari, Daniel Sonntag","doi":"10.1145/3459926.3464753","DOIUrl":null,"url":null,"abstract":"We describe the software architecture of a toolbox of reusable components for the configuration of convolutional neural networks (CNNs) for classification and labeling problems. The toolbox architecture has been designed to maximize the reuse of established algorithms and to include domain experts in the development and evaluation process across different projects and challenges. In addition, we implemented easy-to-edit input formats and modules for XAI (eXplainable AI) through visual inspection capabilities. The toolbox is available for the research community to implement applied artificial intelligence projects.","PeriodicalId":171639,"journal":{"name":"Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Companion of the 2021 ACM SIGCHI Symposium on Engineering Interactive Computing Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3459926.3464753","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

We describe the software architecture of a toolbox of reusable components for the configuration of convolutional neural networks (CNNs) for classification and labeling problems. The toolbox architecture has been designed to maximize the reuse of established algorithms and to include domain experts in the development and evaluation process across different projects and challenges. In addition, we implemented easy-to-edit input formats and modules for XAI (eXplainable AI) through visual inspection capabilities. The toolbox is available for the research community to implement applied artificial intelligence projects.
用于部署具有XAI功能的深度学习决策支持系统的软件工具箱
我们描述了一个可重用组件工具箱的软件架构,用于配置卷积神经网络(cnn)的分类和标记问题。工具箱架构的设计是为了最大限度地重用已建立的算法,并在不同项目和挑战的开发和评估过程中包括领域专家。此外,我们通过视觉检查功能为XAI(可解释AI)实现了易于编辑的输入格式和模块。该工具箱可用于研究界实施应用人工智能项目。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信