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Ethical Collapse Patterns Induced by Top-Level Concept Design in Hierarchical Cognitive Architectures of Personal AI Systems: A Case Study Using Trolley Problem Variants

Year: 2026

Type: preprint

Abstract: This paper reports experimental observations of ethical collapse patterns arising from top-level concept configurations in hierarchical cognitive architectures of personal AI systems. Using trolley problem variants, two distinct collapse types are identified: user-centric ethical tunnel vision and rule-contradiction paralysis. The findings highlight risks in single-apex concept design and design implications for personal AI systems.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.18711208

Author: mizutani, aya

Language: English

Topic: Ethics and Social Impacts of AI

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7130701036

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