چکیده مقاله
The rapid integration of Artificial Intelligence AI in education promises transformative benefits, including personalized learning and operational efficiency However, this study critically examines the profound ethical and social challenges it poses Through a qualitative analysis of academic literature and policy frameworks, we identify three core tensions: Data exploitation, where pervasive surveillance and commodification of student information violate privacy and enable commercial control; Algorithmic inequality, as biased systems replicate societal inequities and create bifurcated learning pathways that disadvantage marginalized communities; Pedagogical dehumanization, wherein AI driven standardization erodes teacher autonomy, student agency, and the relational essence of education Further, we reveal how these challenges intersect with political economy concerns, as EdTech privatization transfers educational sovereignty from public institutions to corporate actors, undermining democratic governance The findings argue that unregulated AI risks entrenching systemic inequities and reducing education to transactional datafication We conclude that safeguarding education's humanistic mission requires robust regulatory frameworks, educator led AI development, and pedagogical models prioritizing equity and critical engagement over algorithmic efficiency Proactive ethical governance is essential to harness AI's potential without compromising educational justice
کلیدواژهها
نویسندگان
شیوه ارجاع
Soltani, Azita and Soltani, Erfan,1404,Ethical and social challenges of using artificial intelligence in education,16th International Conference on Modern Research in Psychology, Social Sciences, Educational Sciences
ارائهشده در
مجموعه مقالات شانزدهمین کنفرانس بین المللی پژوهش های نوین در روانشناسی، علوم اجتماعی، علوم تربیتی و آموزشی31 تیر 1404