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

Abstract

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 naïve 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.