Abstract
The integration of artificial intelligence into decision-making environments has introduced a previously undertheorized cost: the gradual surrender of human autonomy in exchange for access to information and computational assistance. Building on the Human Identity and Autonomy Gap (HIAG) framework, this paper advances a theoretical model of autonomy surrender as a measurable, cumulative process driven by cognitive bandwidth depletion.
The model proposes three interacting mechanisms:
- The silent cost of AI assistance, in which autonomy is transferred incrementally and without awareness;
- The surrender threshold, beyond which reclaiming autonomous function becomes cognitively and psychologically difficult;
- The recovery mechanism, which establishes the design obligation and ethical responsibility accompanying deliberate human re-assumption of control.
The paper argues that human re-entry into the decision loop is not a passive option but an active cognitive event requiring intentional bandwidth restoration. The design of AI systems must incorporate structured re-entry pathways, termed recovery mechanisms, that preserve human agency while appropriately distributing responsibility.
The model further predicts a terminal state, termed preference inversion, in which functional dependence on AI assistance is experienced not as a deficit but as a preference, transforming the restoration of autonomy from a design problem into a cultural and political one. Implications are drawn for AI system design, governance frameworks, and human factors research.
Blogger's Review: This paper delves into the potential impacts of AI on human autonomy, emphasizing the ethical responsibilities and importance of human agency in design. As AI technology continues to evolve, this theoretical model provides a crucial framework for future human-computer interactions.