From data inference to evidence fusion: A methodology for studying computer ethics at different levels

IF 2 3区 工程技术 Q3 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
MinCheng Piao, Junjie Lin, Meng Song, ChenChen Rui
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引用次数: 0

Abstract

The rapid development and widespread use of computer technology in today's society have brought significant benefits and convenience to individuals and organizations. The study presents a concept for constructing a research framework in the realm of computer ethics impact. This involves the introduction of an information fusion model and the utilization of a Dempster–Shafer (D–S) evidence theory algorithm. The information fusion model aims to integrate multiple sources of evidence related to computer ethics, including expert opinions, public attitudes, and legal regulations. Furthermore, the experimental results show that the platform's impact perception was effective in reducing the number of individuals who consider computer ethics unnecessary from 40% to 3%. This finding highlights the potential of this platform for enhancing public awareness and understanding of computer ethics. In conclusion, the proposed information fusion model and D–S evidence theory algorithm offer a valuable tool for conducting early research on the construction of computer ethics. It is of utmost importance to delve into the uncontrollable facets of building computer ethics and to navigate the subject–object dilemma from the standpoint of computer users. This approach is essential in addressing the ethical dilemmas that have arisen due to the rapid advancement of computer technology in today's world. The novelty lies in the research methodology used in this study, substantial public perception change, ethical risk reduction, and subject–object issue in computer ethics resolution all substantially contribute to the field's influence on people, organizations, and societies.

从数据推理到证据融合:从不同层面研究计算机伦理的方法论
当今社会,计算机技术的飞速发展和广泛应用为个人和组织带来了巨大的利益和便利。本研究提出了在计算机伦理影响领域构建研究框架的概念。这包括引入信息融合模型和使用 Dempster-Shafer (D-S) 证据理论算法。信息融合模型旨在整合与计算机伦理相关的多种证据来源,包括专家意见、公众态度和法律法规。此外,实验结果表明,该平台的影响感知有效地将认为计算机伦理不必要的人数从 40% 减少到 3%。这一发现凸显了该平台在提高公众对计算机伦理的认识和理解方面的潜力。总之,所提出的信息融合模型和 D-S 证据理论算法为开展计算机伦理建设的早期研究提供了有价值的工具。最重要的是,要深入研究计算机伦理建设的不可控因素,并从计算机用户的立场出发,把握主客体之间的两难关系。这种方法对于解决当今世界计算机技术飞速发展所带来的伦理困境至关重要。本研究的新颖之处在于所采用的研究方法、公众观念的实质性转变、伦理风险的降低以及计算机伦理中主客体问题的解决,这些都极大地促进了该领域对人们、组织和社会的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Computer Applications in Engineering Education
Computer Applications in Engineering Education 工程技术-工程:综合
CiteScore
7.20
自引率
10.30%
发文量
100
审稿时长
6-12 weeks
期刊介绍: Computer Applications in Engineering Education provides a forum for publishing peer-reviewed timely information on the innovative uses of computers, Internet, and software tools in engineering education. Besides new courses and software tools, the CAE journal covers areas that support the integration of technology-based modules in the engineering curriculum and promotes discussion of the assessment and dissemination issues associated with these new implementation methods.
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