Bidirectional Cognitive Integration under Asymmetric Incentive Systems

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Authors: Brendon Lee Williams
Cited by: 0

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