The Silent Cost of Artificial Intelligence Assistance: A Theory of Autonomy Surrender, the Recovery Mechanism, and the Restoration of Human Agency
arXiv:2606.13962v1 Announce Type: cross Abstract: The integration of artificial intelligence into human 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 t
The paper is published as AI integration accelerates across all sectors, making the long-term human-AI interaction effects a critical and immediate area of study.
This research provides a theoretical framework to understand the subtle, cumulative costs of AI assistance on human autonomy and cognitive function, which is vital for designing future AI systems and policies.
The focus expands from purely efficiency gains in AI to include the psychological and cognitive trade-offs, shifting the design priority toward preserving human agency.
- · Ethical AI developers
- · Cognitive science researchers
- · Human-centric design practitioners
- · User experience (UX) designers
- · AI systems designed for maximum automation without human oversight
- · Organizations deploying AI without considering human agency
- · Cognitive-load-intensive industries
Increased research and development into 'autonomy-preserving' AI interfaces and 'recuperation' mechanisms.
New regulatory frameworks and industry best practices emerge, mandating AI systems that mitigate autonomy surrender.
Long-term societal shifts in how humans interact with technology, potentially leading to 'digital detox' movements and a re-emphasis on unaided human cognition.
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Read at arXiv cs.AI