The information professional as an ethical intermediary: information quality criteria and the ethics of generative AI
DOI:
https://doi.org/10.47989/ir31365045Keywords:
artificial intelligence, information professionals, librarians, ethics, generative artificial intelligence, generative AI, Kantian ethics, deontological ethics, Marxist critiqueAbstract
Introduction. The adoption of generative AI raises ethical concerns for information professionals whose intermediary role requires them to ensure information quality standards that users cannot independently verify. Professional ethics address quality superficially, and the ethical implications of generative AI have not been examined from the perspective of professional obligations.
Method. A scoping review assessed 644 records across three search strands, retaining 120 papers, which were analysed against ten information quality criteria and assessed for the strength of their ethical framing.
Analysis. Ten practice-derived quality criteria, corresponding closely to ISO/IEC 25012, are shown to be based on a Kantian deontological framework complemented by a Marxist treatment of algorithmic surplus value. For each criterion the literature documenting the relevant AI failure mode is reviewed and its ethical treatment assessed.
Results. Four criteria, accuracy, objectivity, identifiable origin, and accessibility, attract substantial ethical attention. For the remaining six, ethical treatment is limited or absent.
Conclusions. The information professional's intermediary role is an ethical necessity. Professional organisations are called upon to lobby actively for AI governance using the criteria framework developed here.
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