The paper introduces a Triple Debt Model with cognitive debt and intent debt alongside technical debt to address risks from generative AI in software development.
accountability must not be delegated to non-human actors
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
LLMs corrupt an average of 25% of document content during long delegated editing workflows across 52 domains, even frontier models, and agentic tools do not mitigate the issue.
citing papers explorer
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From Technical Debt to Cognitive and Intent Debt: Rethinking Software Health in the Age of AI
The paper introduces a Triple Debt Model with cognitive debt and intent debt alongside technical debt to address risks from generative AI in software development.
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LLMs Corrupt Your Documents When You Delegate
LLMs corrupt an average of 25% of document content during long delegated editing workflows across 52 domains, even frontier models, and agentic tools do not mitigate the issue.