Bidirectional Cognitive Integration under Asymmetric Incentive Systems
Abstract
Bidirectional Cognitive Integration under Asymmetric Incentive Systems This paper examines the structural and ethical risks introduced by bidirectional brain–computer interfaces, particularly read–write neurotechnology, at a moment when cognition itself is becoming interfaced rather than merely augmented. Rather than focusing on speculative AI autonomy, it identifies the primary risk vector as asymmetrical cognitive leverage operating within existing dominion-shaped incentive systems. It argues that read–write access under such conditions introduces a category of irreversibility distinct from AI systems functioning in isolation. The work is not anti-technology, but pro-constraint, framing restraint, custodial ethics, and biological alignment as kernel-level design invariants rather than post hoc safeguards.
Fields of Study & Subjects
Neuroethics
Human Enhancement
Biomedical Innovations
Ethics and Social Impacts of AI
Cybernetics and Technology in Society
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 28 January 2026
- Language
- EN