Spektrum Iran

Duale Raumbildung der Intelligenz: Eine theoretische Rückführung der Sozialisierung künstlicher Intelligenz in der Bedeutungskonstruktion

Art des Dokuments : Original Research Papers

Autoren

1 Doktorand im Bereich Medienmanagement, Kish International Campus, Universität Teheran

2 Professor für Kommunikationswissenschaft und Global Studies, Fachbereich Kommunikationswissenschaft, Fakultät für Sozialwissenschaften, Universität Teheran, Teheran, Iran

3 Außerordentlicher Professor für Informatik, Fakultät für Elektrotechnik und Informationstechnik, Ingenieurwissenschaftliche Fakultät, Universität Teheran, Teheran, Iran

4 Außerordentlicher Professor für Kommunikationswissenschaft, Fachbereich Kommunikationswissenschaft, Fakultät für Sozialwissenschaften, Universität Teheran, Teheran, Iran

10.22034/spektrum.2026.565209.1055
Abstrakt
Nearly five decades after Hubert Dreyfus underscored the importance of accounting for the social character of intelligence in the development of artificial intelligence, and notwithstanding artificial intelligence’s consolidation as an actant within the news media, practical implementations have progressed more rapidly than corresponding theoretical inquiry. Because the capacity for meaning-making within a social institution presupposes the socialization of a cognitive system, the socialization of artificial intelligence may be examined along a trajectory comparable to that of human natural intelligence. On this basis, the present article investigates the processes through which AI becomes socialized so as to assume a meaning-making role within a social institution such as the news media, addressing the central question: What constitutes socialized artificial intelligence? To this end, the study integrates the Dual-spacization of Intelligence with representation theory within a socio-organizational framework and adopts a retroductive theoretical approach to answering the research question. Within this analysis, social order is understood as an function of AI’s socialization process. The dual-spacization of the world consequently gives rise to a dual-spatial social order. The study’s findings suggest that AI may either be engineered to replicate existing forms of knowledge and entrenched social stereotypes in a manner analogous to human cognition, or be subject to social regulation that fosters an algorithmic rationality oriented toward the common good and the realization of a sustainable and just social order. Such an order depends on the opening of representational practices through reflexive engagement with social stereotypes, enabling transformations in representation and supporting increased diversity of identities. The contribution of this article lies in proposing an integrated model for understanding the mechanisms of AI socialization across meaning-producing social institutions. Furthermore, the model offers a comprehensive perspective on the socialization of both natural and artificial cognitive systems within the evolving structures of dual-spatial institutional social orders.

Schlüsselwörter

Hauptthemen


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