Research on Ethical Issues and Coping Strategies of Artificial Intelligence Algorithms Recommending News with the Support of Wireless Sensing Technology

作者全名："Pan, Xue; Su, Qixia; Wei, Lin; Guo, Lei"

作者地址："[Pan, Xue; Su, Qixia; Wei, Lin; Guo, Lei] Chongqing Med Univ, Editorial Dept Chinese Journal Endocrine Surg, Affiliated Hosp 1, Chongqing, Peoples R China"

通信作者："Pan, X (通讯作者)，Chongqing Med Univ, Editorial Dept Chinese Journal Endocrine Surg, Affiliated Hosp 1, Chongqing, Peoples R China."

来源：JOURNAL OF SENSORS

ESI学科分类：ENGINEERING

WOS号：WOS:000979582000002

JCR分区：Q3

影响因子：1.4

年份：2023

卷号：2023

期号：　

开始页：　

结束页：　

文献类型：Article

关键词：　

摘要："This study shows how well the wireless sensing technology may be used to forecast how people would react to AI- (artificial intelligence-) driven customization in digital news sites. We randomly picked participants to enroll in an online questionnaire. This study determines the ethical issues and coping strategies of AI-based news using sensor technology. The study proposed an improved naive Bayes classification algorithm to forecast the acceptance of AI-driven news sites. Additionally, the technology acceptance framework characteristics continue to be crucial in determining adoption decisions. The findings demonstrate that the observed contingency has a large direct influence and an indirect effect that is moderated by improved user interaction and positivity in forecasting the acceptance of AI-driven news sites."

基金机构："Humanities and Social Sciences Research Project of Chongqing Municipal Commission of Education, China [22SKGH077]"

基金资助正文："AcknowledgmentsThe study was supported by Humanities and Social Sciences Research Project of Chongqing Municipal Commission of Education, China (Grant No. 22SKGH077)."