Sociological Perspectives on AI, Intelligence and Communication

Introduction. This article presents a comprehensive theoretical model to understand the societal challenges posed by AI, examining AI as a unique form of intelligence—distinct from human cognition—that functions as a computational technology integrated into societal communication processes. Using educational systems as a key example, the article explores AI's implications for functional differentiation across society. Methods. The study applies Luhmann's systems theory, emphasizing communication, double contingency, and the transformative role of digital media and AI. A sociological analysis is conducted on how AI, through virtual double contingency, affects communication within interaction, organization, and functional systems, embedding values beyond negotiation. Results. Findings indicate that AI results in algorithmic differentiation which disrupts traditional communication structures, diminishing functional autonomy within systems like education and altering social structures with profound implications for individuals and society. This transformation is analysed within three societal models: authoritarian, market-driven, and democratic. Conclusion. While AI integration is essential to maintain European competitiveness alongside the USA and China, it also poses risks to functional differentiation and democratic principles. The article underscores the necessity of a robust regulatory framework and value-driven approach to responsibly leverage AI's benefits without undermining societal structures or the European democratic model.