Human-Centric AI to Mitigate AI Biases

IF 4.5 3区管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE

Journal of Global Information Management Pub Date : 2023-10-09 DOI:10.4018/jgim.331755

Antoine Harfouche, Bernard Quinio, Francesca Bugiotti

引用次数: 0

Abstract

The global health crisis represents an unprecedented opportunity for the development of artificial intelligence (AI) solutions. This article aims to tackle part of the biases in artificial intelligence by implementing a human-centric AI to help decision-makers in organizations. It relies on the results of two design science research (DSR) projects: SCHOPPER and VRAILEXIA. These two design projects operationalize the human-centric AI approach with two complementary stages: 1) the first installs a human-in-loop informed design process, and 2) the second implements a usage architecture that aggregates AI and humans. The proposed framework offers many advantages such as permitting to integrate of human knowledge into the design and training of the AI, providing humans with an understandable explanation of their predictions, and driving the advent of augmented intelligence that can turn algorithms into a powerful counterweight to human decision-making errors and humans as a counterweight to AI biases.

查看原文本刊更多论文

以人为中心的人工智能将减轻人工智能偏见

全球卫生危机为开发人工智能解决方案提供了前所未有的机遇。本文旨在通过实现以人为中心的人工智能来帮助组织中的决策者，解决人工智能中的部分偏见。它依赖于两个设计科学研究(DSR)项目的结果:SCHOPPER和VRAILEXIA。这两个设计项目通过两个互补的阶段来实现以人为中心的人工智能方法:1)第一个阶段安装一个人在循环的知情设计过程，2)第二个阶段实现一个聚合人工智能和人类的使用架构。提出的框架提供了许多优势，例如允许将人类知识整合到人工智能的设计和训练中，为人类提供可理解的预测解释，并推动增强智能的出现，从而将算法转变为对人类决策错误的强大平衡，并将人类作为对人工智能偏见的平衡。

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

Journal of Global Information Management INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

5.80

自引率

14.90%

发文量

118

期刊介绍： Authors are encouraged to submit manuscripts that are consistent to the following submission themes: (a) Cross-National Studies. These need not be cross-culture per se. These studies lead to understanding of IT as it leaves one nation and is built/bought/used in another. Generally, these studies bring to light transferability issues and they challenge if practices in one nation transfer. (b) Cross-Cultural Studies. These need not be cross-nation. Cultures could be across regions that share a similar culture. They can also be within nations. These studies lead to understanding of IT as it leaves one culture and is built/bought/used in another. Generally, these studies bring to light transferability issues and they challenge if practices in one culture transfer.