نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشگده مدیریت دانشگاه پیام نور
2 دانشکده مدیریت دانشگاه پیام نور
چکیده
کلیدواژهها
عنوان مقاله [English]
نویسندگان [English]
Context and Purpose:
The expansion of the use of artificial intelligence and algorithmic systems in government organizations, in addition to increasing the efficiency and speed of public services, has brought consequences such as reduced transparency, data bias, weakening accountability, and impairing citizen rights. The lack of a native model for responsible algorithmic governance in the public sector in Iran has necessitated the present study. The main objective is to design a responsible algorithmic governance model in Iranian government organizations.
Methodology: This research is applied in terms of purpose and qualitative in terms of method and is based on data-driven theory with the systematic approach of Strauss and Corbin. Data were collected through semi-structured interviews with 17 experts in public administration, digital governance, and artificial intelligence. Sampling was purposeful and theoretical, and data analysis was carried out in three stages: open, axial, and selective coding.
Findings: The paradigmatic model of the research shows that the realization of responsible algorithmic governance in Iranian government organizations includes eight main categories: institutional and governance requirements, data and technology infrastructure, management competencies, legal and ethical dimensions, transparency and accountability, organizational culture and resilience, public trust, and consequences of algorithmic governance. The central category was identified as “institutionalization of responsible algorithmic governance in the government administrative system.”
Conclusion: Establishing responsible algorithmic governance requires a combination of institutional capacity, data governance, AI regulation, and algorithmic accountability. The innovation of the article is to present a native and integrated model for creating transparent, fair, and accountable smart systems in Iranian government organizations.
کلیدواژهها [English]