ArticleFrontiers in artificial intelligence2025
Ethical prompting: toward strategies for rapid and inclusive assistance in dual-use AI systems.
Article in Frontiers in artificial intelligence, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- A systematic review of the limitations of large language models in generating healthcare content.PLOS digital health · 2026Article
- The context of AI transformation: perceptions of AI ethicality and their impact on trust and use intentions.Frontiers in artificial intelligence · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Monitoring technologies initially developed for individuals with disabilities carry inherent dual-use risks, especially evident in conflict or emergency scenarios. This article examines the dual-use dilemma posed by technologies whose civilian design objectives can unintentionally facilitate harmful applications in defense contexts. Specifically, we analyze the ethical risks associated with using civilian-generated data and systems, originally intended to enhance care and assistance, for military purposes without adequate safeguards. We argue that effective and ethically sound technological infrastructures require optimized and ethically-informed prompting strategies. These strategies must clearly define how data and system prompts are structured, reducing deployment biases, particularly against vulnerable populations.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.