Goals as a Representational Layer for Human-AI Collaboration
4.00T1 sourcearXiv cs.HC
arXiv cs.HCoriginal source ↗
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2611.08757.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryThe paper argues for an explicit, multidimensional goal layer linking worker requests to broader outcomes. It says the layer should combine articulated and inferred goals, update continuously, and support context organization, reflection, coordination, and human-centered AI training and evaluation.
Why it mattersA design framework for preserving purpose across agent interactions, with specific unresolved issues around inference, privacy, governance, and coordination.
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