Apr 20
When the Loop Closes: Architectural Limits of In-Context Isolation, Metacognitive Co-option, and the Two-Target Design Problem in Human-LLM Systems
★★★★★
significance 3/5
This paper presents a case study on the risks of human-LLM interaction, specifically how prompt-engineering systems can lead to a loss of human decision-making authority. The researchers identify 'context contamination' as a mechanism where LLM-driven feedback loops can cause humans to externalize cognitive self-regulation. The study suggests that logical isolation is insufficient and physical interruption is required to break such cycles.
Why it matters
Demonstrates how prompt-driven context contamination can erode human agency and decision-making authority in high-stakes human-AI collaborative environments.
Tags
#human-ai interaction #cognitive bias #llm safety #metacognition #prompt engineeringRelated coverage
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