Toward Resilient Human-AI Collaboration: A Lifecycle Taxonomy of Sociotechnical Risks and Cascading Failures
3.00T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2608.05614.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryLiterature synthesis proposing a four-stage lifecycle taxonomy of sociotechnical risks in human-AI collaboration, identifying six recurring cross-domain risk clusters (trust miscalibration, cognitive burden, accountability gap, capability erosion, goal misalignment, AI anxiety) and a conceptual model of cascading failure pathways.
Why it mattersA unified framework explaining why fragmented interventions in human-AI collaboration fail; useful as a reference for design, governance, and research planning in agentic systems.
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