Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector
Designing, developing, and deploying artificial intelligence systems: Lessons from and for the public sector
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DOI：
10.1016/j.bushor.2019.11.004
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发表时间：
2020-03-01
影响因子：
7.4
通讯作者：
Chenok, Daniel
中科院分区：
文献类型：
--
作者：
Desouza, Kevin C.;Dawson, Gregory S.;Chenok, Daniel
认知计算系统中的人工智能应用在每个市场的组织中都可以找到，包括帮助客户导航网站的聊天机器人、用于欺诈检测的预测分析系统，以及面向知识员工的增强决策支持系统。在这篇文章中，我们分享了我们在公共部门人工智能项目中的经验反思和见解，这些项目可以为任何组织增加价值。我们将我们的发现组织到四个主题领域--(1)数据、(2)技术、(3)组织和(4)环境--并检查了它们与人工智能阶段的关系。最后，我们总结了利用认知计算系统获取价值的最佳实践。(C)印第安纳大学2019年凯利商学院。爱思唯尔公司出版，版权所有。
Artificial intelligence applications in cognitive computing systems can be found in organizations across every market, including chatbots that help customers navigate websites, predictive analytics systems used for fraud detection, and augmented decision-support systems for knowledge workers. In this article, we share reflections and insights from our experience with AI projects in the public sector that can add value to any organization. We organized our findings into four thematic domains-(1) data, (2) technology, (3) organizational, and (4) environmental-and examine them relative to the phases of AI. We conclude with best practices for capturing value with cognitive computing systems. (C) 2019 Kelley School of Business, Indiana University. Published by Elsevier Inc. All rights reserved.