СИСТЕМИ ЗА АВТОМАТИЗИРАНО ВЗЕМАНЕ НА РЕШЕНИЯ В ПУБЛИЧНИЯ СЕКТОР - СИСТЕМАТИЧЕН ЛИТЕРАТУРЕН ОБЗОР
AUTOMATED DECISION MAKING SYSTEMS IN THE PUBLIC SECTOR - A SYSTEMATIC LITERATURE REVIEW
Author(s): Nikolay IndjovSubject(s): Politics / Political Sciences, Social Sciences, Economy, Governance, Public Administration, Public Law, Sociology, Evaluation research, ICT Information and Communications Technologies, Sociology of Politics, Socio-Economic Research
Published by: Софийски университет »Св. Климент Охридски«
Keywords: automated decision making; ADM; AI; algorithms; public sector
Summary/Abstract: The current literature review provides an overview of existing research on the use of automated decision making (ADM) systems in the public sector, highlighting their potential to increase its efficiency and accuracy. It looks at the application of ADM in areas such as social assistance, customs and public procurement, where algorithms and artificial intelligence facilitate decision-making processes. While ADM systems offer advantages in reducing bias and speeding up the services, they also present a number of challenges. Such are issues of transparency, accountability, ethics and compliance. The analysis concludes also that future research is needed aimed at mitigating the risks associated with ADM, improving regulatory frameworks and ensuring that these systems operate transparently and fairly in the public sector.
Journal: ПУБЛИЧНИ ПОЛИТИКИ.bg
- Issue Year: 16/2025
- Issue No: 3
- Page Range: 66-82
- Page Count: 17
- Language: Bulgarian
