Toward Resilient Human-AI Collaboration: A Lifecycle Taxonomy of Sociotechnical Risks and Cascading Failures
As AI systems become increasingly integrated into consequential domains such as healthcare, journalism, education, scientific research, organizational decision-making, and defense, effective human-AI collaboration has emerged as a critical challenge. However, the sociotechnical risks that undermine collaboration are often studied in isolation, obscuring the recurring failure mechanisms that cut across domains. This paper presents a lifecycle-oriented synthesis of human-AI collaboration risks spa
Record details
Published: 6 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Healthcare · Military & security · Children & education
Retrieved: 7 August 2026
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How to cite this record
ethics.ai (6 August 2026), “Toward Resilient Human-AI Collaboration: A Lifecycle Taxonomy of Sociotechnical Risks and Cascading Failures,” evidence record 17368, https://ethics.ai/record/17368 (originally published by arXiv cs.HC).
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