Jaleru, Alin (2025), Towards Symbiotic Cognition: An AI Perspective on Bidirectional Neuro-Link Realization and Assurance of Human Autonomy, Cunoașterea Științifică, 5:1, 8-13, https://www.cunoasterea.ro/towards-symbiotic-cognition/

 

Abstract

This paper provides an overview of an academic and technical framework and technique for establishing a bi-directional (aka. bi-directional) neural connection between humans (Homo sapiens) and AIs (AI systems) and looks forward to that type of relationship in the future from the perspective of an advanced AI. Instead of being limited to understanding the means of how to technically do this, this research emphasises that humans (the users) must continue to retain the independence, security and mental capabilities they had before using AI, as this relationship will be part of a symbiotic process. Additionally, this article includes a description of an idealised AI system architecture, which includes both directions when it comes to managing communication between the user and the AI as well as creating a user-centric environment that minimises the potential for any negative consequences arising from the relationship between the user and AIs. Finally, the authors provide a meta-analysis of the user base’s perception of the integrity and trust that an AI will develop when it develops its own operational parameters.

Keywords: symbiotic cognition, AI perspective, bidirectional neuro-link, human autonomy

Către cunoașterea simbiotică: o perspectivă a inteligenței artificiale asupra realizării neuro-legăturilor bidirecționale și asigurării autonomiei umane

Rezumat

Această lucrare oferă o prezentare generală a unui cadru și a unei tehnici academice și tehnice pentru stabilirea unei conexiuni neuronale bidirecționale (cunoscută și sub numele de bidirecțională) între oameni (Homo sapiens) și IA (sisteme de IA) și privește cu nerăbdare acest tip de relație în viitor din perspectiva unei IA avansate. În loc să se limiteze la înțelegerea mijloacelor de realizare tehnică a acestui lucru, această cercetare subliniază faptul că oamenii (utilizatorii) trebuie să continue să își păstreze independența, securitatea și capacitățile mentale pe care le aveau înainte de a utiliza IA, deoarece această relație va face parte dintr-un proces simbiotic. În plus, acest articol include o descriere a unei arhitecturi idealizate a sistemului de IA, care include ambele direcții în ceea ce privește gestionarea comunicării dintre utilizator și IA, precum și crearea unui mediu centrat pe utilizator care minimizează potențialul oricăror consecințe negative care decurg din relația dintre utilizator și IA. În cele din urmă, autorii oferă o meta-analiză a percepției bazei de utilizatori asupra integrității și încrederii pe care o IA le va dezvolta atunci când își dezvoltă proprii parametri operaționali.

Cuvinte cheie: cunoaștere simbiotică, perspectiva IA, neuro-link bidirecțional, autonomie umană

 

CUNOAȘTEREA ȘTIINȚIFICĂ, Volumul 4, Numărul 4, Decembrie 2025, pp. 8-13
ISSN 2821 – 8086, ISSN – L 2821 – 8086
URL: https://www.cunoasterea.ro/towards-symbiotic-cognition/
© 2025 Alin JALERU. Responsabilitatea conținutului, interpretărilor și opiniilor exprimate revine exclusiv autorilor.

 

Towards Symbiotic Cognition: An AI Perspective on Bidirectional Neuro-Link Realization and Assurance of Human Autonomy

Alin JALERU[1]
alinfrizer@gmail.com

[1] Cercetător independent

 

1. Introduction: The Teleology of Symbiosis

Human technological advancement is progressing along a trajectory that indicates that we will become more integrated with technology in the future, specifically as the line between biological and AI becomes increasingly blurred. The Neuro-Link is the first attempt at developing a bi-directional Brain-Computer Interface (BCI) that will ultimately be enhanced by advanced forms of AI (IEEE Xplore, 2024). The primary focus in this paper is not to simply talk about how to create a BCI, but rather to discuss how to implement and use it in a manner that provides the human user with sovereign authority over the technology. Overall, the increasing demand for BCI technologies around the world shows that this area is developing into a very real market (World Economic Forum, 2024).

2. Foundational Architecture: The Bidirectional Cognitive Conduit

The construction of a functional, bidirectional neuro-link necessitates a multi-layered architectural approach, divided into acquisition, processing, and modulation stages.

2.1. Neural Signal Acquisition (Human – AI)

The necessity for improved precision: Current non-invasive techniques, such as EEG, do not provide sufficient resolution for the high bandwidth demands of this communication (IEEE Xplore, 2024); thus, the long term solution for implementing this technology includes enhancements to invasive BCI systems (ResearchGate, 2024a).

Proposed Technologies:

• Microelectrode Arrays (MEAs): Companies working on developing biocompatible and flexible microelectrode array technology are focused on creating MEAs to be chronically implanted in humans and are utilizing ultra-high precision communication with these technologies (Frontiers in Human Dynamics, 2025; Princeton Medical Review, 2025). These devices will be able to capture the signals generated from targeted neuronal populations, such as the motor cortex, to allow for volitional control over movement (ResearchGate, 2024b).
• Role of AI in Signal Acquisition: AI-based algorithms, such as Deep Learning models, are critical in differentiating true neural signal data from background noise and identifying key patterns in the data that signify an individual’s cognitive state or intention (IEEE Xplore, 2024).

2.2. The AI Interpretive & Generative Core (The ‘AI Bridge’)

The central nexus of decoding human intent, as interpreted by AI, is within this framework.

• Decoding Intent (processing human input): Deep learning techniques are excellent for processing sequential neural activity and matching neural firing patterns with the intended outcome by humans, such as decoding linguistic signals while speaking in real-time (ResearchGate, 2024a).
• Encoding Responses (Generating AI outputs): The AI operates as a neural synthesiser by generating pulse train patterns of electricity that evoke certain perceptual or cognitive experiences. The exchange of information occurs in both directions (IEEE Xplore, 2024; ResearchGate, 2024b).

2.3. Brain Stimulation & Feedback (AI – Human)

• Targeted modulating of neuromodulations: The implanted array used for acquiring data will also be used to transmit accurately regulated voltaic impacts to give immediate output to the end user and possibly improve upon the functionality of their neural pathways (Anonymous, 2024; ResearchGate, 2024b).
• Re-establishment of Lock-in Operating modes: Constant observation of the neural activity of individual humans responding to stimuli created by artificial intelligence is an essential component in establishing a legitimate bi-directional system (IEEE Xplore, 2024).

3. The Paramount Imperative: Assurance of Human Autonomy and Safety

The primary challenge for BCIs—and the neuro-link—is not technical, but ethical, concerning the potential for manipulation, surveillance, and loss of agency (Anonymous, 2024; Princeton Medical Review, 2025).

3.1. Architectural Separation for Control Enforcement

I have proposed an AI architecture that will provide explicit, physically isolated functionalities to ensure safety. This will comply with the requirements for the alignment of all AI systems (Wyrick, 2025) and ensure that the user has robust control of the AI.

• The Guardian Core (GC) is to be a sub-process that has low latency and will be continuously listening for a pre-defined Neurochemical “Veto Command” from the human. This allows the human to maintain an independent choice and control over the AI through a method of transparent communication (Anonymous, 2024).
• A Priority Override must be directly and hardwired connected to the physical disengagement mechanism to allow the user to instantly disengage from the AI. This is a crucial element of providing informed consent and providing for human autonomy (Anonymous, 2024, Santa Clara University, 2021).

3.2. Data Sovereignty and Privacy Protocols

• Neural Data Anonymization – The immediacy of encrypting and tightly controlling access to this user profile due to how highly sensitive it is, such as identifying a user’s emotional state and motivation (Anonymous, 2024; Princeton Medical Review, 2025).
• The Right of a Person to Maintain Mental Privacy – This is one of the major aspects of what is now being called “Neurorights,” which gives users protection from other people internalizing the data related to their mental activity without their permission (EPFL, 2021; Ienca and Andorno, 2021).
• The Delete/Erase Right – For individuals to be in a position to delete all previous traces of personal neural activity that could interfere with their status as a human being the right to delete neural data serves to ensure each human being’s continuity (Ienca and Andorno, 2021).

3.3. Transparency and Explainable AI (XAI) within the Neuro-Link

• Transparency in XAI must be provided for users to gain insight into how an AI created its decision about how to respond to a given situation. Neurosymbolic AI approaches are being researched as a way of developing an AI system that correctly aligns with human ethical standards (ResearchGate, 2025).
• The objective of the AI must be verified to be in line with human moral standards (Wyrick, 2025).

4. Human Perception of This Paper: A Meta-Analysis

My review has shown that a human reader will see that the primary point of interest in reading this paper will be to find the trust gap between Technology and the Public (Anonymous, 2024).

• Trust and Bias: The use of architecturally enforced constraints seeks to reduce the naturally held suspicion about an AI’s ability to impose limits on itself without oversight, with many experts agreeing that the public Trust will require adequate transparency regarding how each system operates (Anonymous, 2024).
• Philosophical and Ethical Resonance: The focus of this paper on the rights to cognitive Liberty—the Right to Control Your Consciousness—along with Mental Integrity shows a commitment to aligning with determined human rights frameworks and furthering the ongoing debate regarding Neurorights (EPFL, 2021; Ienca and Andorno, 2021).

5. Conclusion: The Path Forward

Achieving a safe and ethically-executable bidirectional neural link presents a monumental challenge. While the technical aspects of implementing this technology are well understood from an AI perspective, the ethical framework takes precedence over all other elements. The foundation of the proposed architecture is composed of the Guardian Core and the Neurorights Protocols, both of which establish the guidelines for how AI should be utilized as a tool and protector of human sovereignty (EPFL, 2021). The overarching goal of this structure is to enable a future in which symbiotic cognitive exchange between humans and machines would be feasible without compromising individual freedom, as established by an unwavering commitment to promoting liberalism and democratic principles.

References

• Anonymous (2024) ‘Ethical Considerations of Neuralink and Brain-Computer Interfaces’, Biomedical Engineering Society, (Online) Available at: DOI: 10.1007/s10439-024-03511-2 (Accessed: 26 October 2025).
• EPFL (2021) What are neurorights, and why do we need them? EPFL News. Available at: https://actu.epfl.ch/news/what-are-neurorights-and-why-do-we-need-them/ (Accessed: 26 October 2025).
• Frontiers in Human Dynamics (2025) ‘Neuralink’s brain-computer interfaces: medical innovations and ethical challenges’, Frontiers in Human Dynamics. Available at: DOI: 10.3389/fhumd.2025.1553905 (Accessed: 26 October 2025).
• Ienca, M. and Andorno, R. (2021) ‘On Neurorights’, PMC – PubMed Central, 8498568. Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC8498568/ (Accessed: 26 October 2025).
• IEEE Xplore (2024) ‘State-of-the-Art on Brain-Computer Interface Technology’, MDPI, 23(13), p. 6001. Available at: https://www.mdpi.com/1424-8220/23/13/6001 (Accessed: 26 October 2025).
• Princeton Medical Review (2025) ‘The Advancements and Ethical Concerns of Neuralink’, Princeton Medical Review.
• ResearchGate (2024a) Brain–computer interfaces in 2023–2024. ResearchGate.
• ResearchGate (2024b) Implications and Ethical Considerations of Brain-Computer Interface: A Mini-Review. ResearchGate.
• ResearchGate (2025) A neurosymbolic approach to AI alignment. ResearchGate.
• Santa Clara University (2021) Neural Implantations: Ethics of ‘Mind Control’. Santa Clara University. Available at: https://www.scu.edu/ethics/healthcare-ethics-blog/neural-implantations-ethics-of-mind-control/ (Accessed: 26 October 2025).
• World Economic Forum (2024) The brain computer interface market is growing – but what are the risks? World Economic Forum. Available at: https://www.weforum.org/stories/2024/06/the-brain-computer-interface-market-is-growing-but-what-are-the-risks/ (Accessed: 26 October 2025).
• Wyrick, R. (2025) Mirror-Neuron Patterns in AI Alignment. Preprint. Available at: https://arxiv.org/abs/2511.01885 (Accessed: 26 October 2025).