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Algocracy: Governance Through Algorithms
Abstract
This article examines algocracy, a governance model where algorithms are central to decision-making. Stemming from the Greek concept of kratia (power), algocracy adapts this idea, using algorithms instead of humans to govern. By leveraging data analytics and machine learning, algocratic practices are based on algorithmic recommendations and decisions across various spheres of social life, including private companies and public services. It operates at local, national, and international levels. Key characteristics include data-driven decisions based on analysis rather than intuition; automation, which reduces human intervention; efficiency, as algorithms process information faster than humans; scalability, enabling management of extensive data across regions. This governance model promises increased efficiency and objectivity in administrative and labor functions. However, it also faces criticism for potentially favoring asymmetry of information and power in social relations, fostering social control, surveillance, and micromanagement.
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