AI SOCIOLOGY: THE FOUNDATIONAL MANIFESTO OF THE SOCIO–ALGORITHMIC THEORY FROM THE UAE TO THE WORLD REDEFINING SOCIOLOGY IN THE AGE OF ALGORITHMS

Abstract

Human society is entering a transformative epoch shaped by artificial intelligence (AI), where algorithms act not as neutral devices but as institutions that structure identity, justice, sovereignty, and temporality. While classical sociology—Marx’s capital, Durkheim’s solidarity, Weber’s rationalization, Castells’s networks—remains foundational, it cannot fully account for hybrid societies of humans and codes. This study advances a new disciplinary foundation: AI Sociology, crystallized in the Socio–Algorithmic Theory.

The framework rests on four pillars—algorithmic identity, justice, sovereignty, and temporality—translated into operational indicators: Value of Presence (VP), Explainability Level (EL), Control of Weights (CW), and Velocity Equity (VE), with complementary rights of Public Iterative Review (PIR) and Procedural Disclosure (PD). These indicators transform values into variables, meeting the criteria of measurability, applicability, and replicability.

A comparative analysis reveals the limitations of dominant models: the American model commodifies identity, the Chinese model enforces obedience, and the European model relies on legal safeguards that lag behind technological speed. In contrast, the Emirati pathway inaugurates a fourth trajectory. Through initiatives such as the Ministry of AI (2017), the Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), and the Centennial 2071 vision, the UAE positions itself as a living laboratory where socio–algorithmic principles are institutionalized.

The study’s contribution lies not in adding a subfield but in redefining sociology itself. Emirati in origin yet globally portable, the socio–algorithmic paradigm equips sociology with a new lexicon, methodological protocol, and institutional anchor, marking the birth of the Sociology of Artificial Intelligence as a discipline for the algorithmic age.