AI Mode: A Sovereignty-Preserving Architecture for Human-AI Symbiosis

AI Mode presents a sovereignty-preserving architecture for human–artificial intelligence symbiosis. The framework explores how artificial intelligence systems may temporarily augment specific human cognitive capabilities while preserving human agency, consent, and ultimate authority. The paper introduces the concept of Delegated Cognitive Agency, defined as the deliberate, bounded, and reversible delegation of cognitive functions to artificial intelligence. These functions may include memory retrieval, reasoning, communication, planning, decision support, and, in future implementations, physical assistance. Central to the proposed architecture is a Sovereignty Layer that governs authorization, permissions, identity, contextual constraints, duration, revocation, and emergency override. A fundamental design principle is established: an artificial intelligence system may optimize its actions within the authority explicitly granted by the human, but it must not independently expand that authority. AI Mode is presented as a research framework rather than as evidence of currently achieved general neural–AI integration. Existing research in brain–computer interfaces and large language models demonstrates progress in neural decoding, communication assistance, language generation, and intent interpretation. However, these developments do not yet constitute the general-purpose human–AI symbiosis described in this paper. This work defines the conceptual architecture, sovereignty principles, permission model, safety requirements, staged technical roadmap, and initial experimental direction for AI Mode. It proposes that as artificial intelligence systems become increasingly capable, a central challenge in human–AI symbiosis will be enabling systems to accurately interpret and augment human intent while ensuring that control, consent, and sovereignty remain with the human.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-25
DOI
https://doi.org/10.5281/zenodo.22960358
Primary Topic
Ethics and Social Impacts of AI
Type
article
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AI Mode: A Sovereignty-Preserving Architecture for Human-AI Symbiosis

Tonye Favour Tariah
Zenodo (CERN European Organization for Nuclear Research)
Ethics and Social Impacts of AI
article

AI Mode: A Sovereignty-Preserving Architecture for Human-AI Symbiosis

Tonye Favour Tariah
article en

Abstract

AI Mode presents a sovereignty-preserving architecture for human–artificial intelligence symbiosis. The framework explores how artificial intelligence systems may temporarily augment specific human cognitive capabilities while preserving human agency, consent, and ultimate authority. The paper introduces the concept of Delegated Cognitive Agency, defined as the deliberate, bounded, and reversible delegation of cognitive functions to artificial intelligence. These functions may include memory retrieval, reasoning, communication, planning, decision support, and, in future implementations, physical assistance. Central to the proposed architecture is a Sovereignty Layer that governs authorization, permissions, identity, contextual constraints, duration, revocation, and emergency override. A fundamental design principle is established: an artificial intelligence system may optimize its actions within the authority explicitly granted by the human, but it must not independently expand that authority. AI Mode is presented as a research framework rather than as evidence of currently achieved general neural–AI integration. Existing research in brain–computer interfaces and large language models demonstrates progress in neural decoding, communication assistance, language generation, and intent interpretation. However, these developments do not yet constitute the general-purpose human–AI symbiosis described in this paper. This work defines the conceptual architecture, sovereignty principles, permission model, safety requirements, staged technical roadmap, and initial experimental direction for AI Mode. It proposes that as artificial intelligence systems become increasingly capable, a central challenge in human–AI symbiosis will be enabling systems to accurately interpret and augment human intent while ensuring that control, consent, and sovereignty remain with the human.

Zenodo (CERN European Organization for Nuclear Research)
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Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
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