نوع مقاله : پژوهشی-کمی
نویسنده
گروه مهندسی کامپیوتر، دانشگاه ملی و مهارت، تهران، ایران
کلیدواژهها
عنوان مقاله English
نویسنده English
Abstract
Purpose: The purpose of this study was to examine the impact of emerging technologies on social structures, with a qualitative focus on artificial intelligence and shifting work patterns in Iran.
Method: Employing a qualitative approach and grounded theory methodology, this research offers an in‑depth investigation into the consequences of AI adoption for Iran’s labor market and its related social structures. Data were collected through semi‑structured interviews with technology experts, human‑resources managers, and members of the workforce, and were analyzed using multi‑stage coding.
Findings: The results indicate that artificial intelligence, in addition to enhancing productivity and fostering the emergence of knowledge‑intensive occupations, contributes to the elimination of repetitive jobs, the widening of skill gaps, and fundamental transformations in work relations. Alongside these opportunities, several challenges have also appeared, including intensified social inequalities, heightened feelings of job alienation, and emerging threats to digital justice.
Conclusion: Policymakers can facilitate society’s adaptation to technological transformations by expanding technological‑skills training and supporting vulnerable groups.
کلیدواژهها English
