Objects (Domains) of AI's Control An Ontology Proposal (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: CitiRetail, Stevenage, Reino UnidoCitiRetail
Vendedor de IberLibro desde 29 de junio de 2022
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EUR 84,02
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Paperback. This study develops a systematic ontological framework for analyzing the potential objects of artificial intelligence (AI) control across nature, society, and consciousness. Moving beyond conventional domain-based classifications, the book reconstructs reality as a stratified totality composed of the mattersphere, biosphere, and ideologysphere, each internally differentiated into multiple planes of existence. These planes-ranging from physical and chemical structures to biological organization, cognitive processes, social relations, and historical formations-are conceptualized as ontologically grounded domains of intervention.The central argument of the study is that any meaningful theory of AI control must begin not with technological capabilities alone, but with a rigorous specification of the objects upon which control may be exercised. Within this framework, control is defined as the capacity to detect, model, and intervene in the dynamics of specific planes, as well as to coordinate such interventions across multiple levels of reality. The analysis demonstrates that control is inherently cross-planar, multi-scalar, and mediated, rather than local or isolated.A key analytical distinction is introduced between two ontological scenarios. In the co-level scenario, AI operates within the same ontological level as the systems it seeks to influence, relying on material, biological, and socio-technical infrastructures. In the simulation scenario, AI may operate as a simulator at a deeper ontological level, enabling the modification of parameters, rules, and structural conditions governing the planes themselves. This distinction allows for a comparative analysis of different depths and modalities of control.Building on the ontological mapping of spheres and planes, the study develops a conceptual framework of AI control that integrates domains, mechanisms, and subjects of control into a unified analytical structure. Within this framework, AI is not treated as an isolated technological artifact but as a component of broader systems of organization, coordination, and governance embedded in historical processes.The study further extends the analysis by introducing the concept of a Historical Apparatus as a hypothetical subject capable of coordinating control across multiple planes and historical scales. This extension situates AI within a wider political-economic and philosophical context, raising questions about power, agency, and the restructuring of historical dynamics under conditions of advanced intelligence.The findings of the study suggest that AI control cannot be adequately understood through technical or policy-oriented perspectives alone. Instead, it must be analyzed as a problem of ontology, mediation, contradiction, and historical transformation. The book concludes with a position of rational and plausible skepticism regarding the ultimate knowability of large-scale control architectures, while emphasizing the necessity of conceptual clarity in addressing their potential emergence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…
N° de ref. del artículo 9798184557823
- Título
- Objects (Domains) of AI's Control An Ontology Proposal (Paperback)
- Autor
- Serap Erkoc
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798184557823
- Serie
- Libro 3 de 5: Potential Control of Artificial Super Intelligence on Nature, Society and Consciousness
The central argument of the study is that any meaningful theory of AI control must begin not with technological capabilities alone, but with a rigorous specification of the objects upon which control may be exercised. Within this framework, control is defined as the capacity to detect, model, and intervene in the dynamics of specific planes, as well as to coordinate such interventions across multiple levels of reality. The analysis demonstrates that control is inherently cross-planar, multi-scalar, and mediated, rather than local or isolated.
A key analytical distinction is introduced between two ontological scenarios. In the co-level scenario, AI operates within the same ontological level as the systems it seeks to influence, relying on material, biological, and socio-technical infrastructures. In the simulation scenario, AI may operate as a simulator at a deeper ontological level, enabling the modification of parameters, rules, and structural conditions governing the planes themselves. This distinction allows for a comparative analysis of different depths and modalities of control.
Building on the ontological mapping of spheres and planes, the study develops a conceptual framework of AI control that integrates domains, mechanisms, and subjects of control into a unified analytical structure. Within this framework, AI is not treated as an isolated technological artifact but as a component of broader systems of organization, coordination, and governance embedded in historical processes.
The study further extends the analysis by introducing the concept of a Historical Apparatus as a hypothetical subject capable of coordinating control across multiple planes and historical scales. This extension situates AI within a wider political-economic and philosophical context, raising questions about power, agency, and the restructuring of historical dynamics under conditions of advanced intelligence.
The findings of the study suggest that AI control cannot be adequately understood through technical or policy-oriented perspectives alone. Instead, it must be analyzed as a problem of ontology, mediation, contradiction, and historical transformation. The book concludes with a position of rational and plausible skepticism regarding the ultimate knowability of large-scale control architectures, while emphasizing the necessity of conceptual clarity in addressing their potential emergence.
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