Perspectives of Students in the Humanities, Social Sciences, and Education on the Opportunities and Risks Associated with Artificial Intelligence, Part 1

Literature Review

Abstract

In contemporary society, Artificial Intelligence (AI) has emerged as a pivotal component of advanced technological systems, presenting both novel opportunities and challenges within the realms of higher education and the labor market. AI possesses the capacity to facilitate personalized learning experiences, thereby enabling students to efficiently comprehend course material and progress in alignment with their unique requirements. Beyond the realm of education, AI significantly influences employment dynamics, leading to the creation of new job roles while rendering some positions obsolete, thus underscoring the critical importance of digital competencies and innovation. Nonetheless, the proliferation of such technologies also introduces significant challenges, including the exacerbation of workplace inequalities and the need to navigate ethical considerations. The authors conducted a study to examine the perceptions, aspirations, and receptiveness toward AI among students enrolled in humanities, social sciences, and pedagogy, particularly regarding the associated risks and opportunities that such technology presents. This quantitative research involved a survey of 1027 students who articulated their perspectives on their understanding, attitudes, and utilization of AI through a structured questionnaire. The analysis employed statistical methodologies to interpret the students' responses. Findings from the study indicate that the enhancement of digital competencies and the promotion of ethical AI usage are fundamental for adequately preparing students for the evolving labor market. The swift advancement of technology necessitates that stakeholders in higher education and the workforce remain adaptable, fostering education that equips individuals to thrive in the changing environment. The first part of the paper provides a comprehensive literature review and contextualizes existing research, while the second part delineates the empirical investigation and presents the findings.