Algorithmic governance in public sector: is digitization a key to effective management

Abstract

While algorithmic governance in the public sector can lead to increased efficiency and cost-effectiveness, the implementation of those digital innovations can also result in multiple forms of harm: data bias can lead to reinforcement of inequality, discrimination, and criminalization of already marginalized populations; lack of accountability and transparency in decision-making can lead to injustices; societal trust and the legitimacy of public sector institutions may suffer; privacy and fundamental human rights may be threatened, ethical standards challenged. Digital transformation, leading to algorithmic governance, may be challenged in times of crisis, such as the recent pandemic outbreak, as new technologies in public sector institutions and forms of data-driven surveillance and intrusive monitoring are introduced in the name of public security and social need. This research focuses in affirming the assumption that the effective management in the public sector, first of all, is determined by the ability of this sector to transform the perception of the services delivered; secondly, it requires strategic actions to enable the systemic and coherent digital transformation of the public sector; and lastly, the new strategies of human resources management in the public sector should be considered. The focus is concentrated on understanding how the implementation of digital tools to the public sector and public services correlate with algorithmic governance concept and what impact digitization has on the effectiveness of management in the public sector.