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

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.