The Ethics of Prompt Engineering
3.40T1 sourcearXiv cs.HC
Source record
Published by arXiv cs.HC (T1 source). The original is at https://arxiv.org/abs/2610.23082.
Pipeline notes
The summary and note below are generated by the signal pipeline — they are Beyond Desk’s reading, not quotations from the source.
SummaryAn arXiv paper argues prompt engineering is not merely a technical optimization but an epistemic and normative act. It contrasts knowledge-generation and knowledge-injection models of prompting, then proposes five principles for responsible prompting: epistemic humility, explicit engagement with uncertainty, source sensitivity, avoidance of deceptive framing, and recognition of model limitations.
Why it mattersDistinguishes knowledge-generation from knowledge-injection framing of prompting and distills five principles for responsible use. Useful lens for anyone structuring LLM-dependent workflows.
Cited by
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