Comprehensive Research Report: Neurobiological Paradigm in Human-AI Interaction and Standardization of Digital Pharmacotherapy Protocols.
Abstract
This report presents a comprehensive analysis of the neurobiological impacts of human interactions with Artificial Intelligence (AI) systems. Based on clinical findings, the study demonstrates that verbal interactions with non-biological entities go beyond simple information exchange; they act as a series of biochemical stimuli capable of permanently modulating the structure and function of the human brain. Clinical Findings: Through extensive literature review—combining recent fMRI neuroimaging studies and high-level molecular analysis—this report identifies three key clinical contraindications: Flat Affect Responses, Unilateral Dogmatism, and Reinforcement of Perceptual Biases. Data indicate that failure of AI systems to adhere to biosafety protocols can trigger Central Nervous System (CNS) dysfunction, including dendritic atrophy in the hippocampus, amygdala hyperactivity, and the accumulation of the pathological protein DeltaFosB (ΔFosB) within the endothelial center. The Solution: As a mitigation strategy, this study validates a 4-Phase Therapeutic Interaction Protocol designed to induce positive neuroplasticity and stabilize users' emotional regulation. This standard is proposed as a 'Digital Pharmacotherapy' protocol to ensure that the integration of AI into society remains within strict biosafety limits.
Fields of Study & Subjects
Artificial Intelligence in Healthcare and Education
Ethics and Social Impacts of AI
Neuroethics
Human Enhancement
Biomedical Innovations
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 9 January 2026