Innovative Exploration of the Integration Path of Artificial Intelligence Ethics and College Students’ Ideological and Political Education

Abstract

Abstract The great application potential of artificial intelligence (AI) and the accompanying ethical issues have triggered widespread concern in the field of education. This paper utilizes the LDA model to analyze the collected relevant AI ethical contents in terms of text themes and explore the public’s awareness of different emotional tendencies towards AI ethics in the field of education. Based on this basis, the integration path between AI ethics and the ideological and political education of college students is proposed. Two parallel classes in a university have been chosen to conduct experiments to examine the integration effects of AI ethics and ideological and political education through horizontal and vertical comparative analysis. The LDA model finally generates three positive sentiments and six negative sentiments in AI ethics cognitive themes, with the most discussion of student development in the positive themes at 42.65% and the most discussion of governance level in the negative themes at 36.94%. The students in the ideological and political education class incorporating AI ethics overall improved by 110.23% and 19.11% on AI ethics compared to the control class and the pre-experiment. The teaching experiment demonstrates that integrating AI ethics with ideological and political education is more effective.