Publikacja:

Rationality, Augmentation, and the Limits of Critique

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2026
Artykuł
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dc.abstract.enDariusz Jemielniak’s article presents a carefully constructed and valuably provocative case that AI systematically erodes organizational rationality. The argument is lucid, well-referenced, and arrives at a conclusion that many practitioners would do well to take seriously. This response, however, suggests that the paper’s framing rests on a characterization of AI epistemology that the research community has substantially moved beyond, and that it measures AI’s limitations against an account of human organizational judgment that is more idealized than the empirical record supports. By engaging critically with the paper’s core moves, this response does not seek to minimize the real problems Jemielniak identifies, but rather to redirect the inquiry toward the more productive questions of design, governance, and institutional structure that those problems demand. The argument proceeds from a shared concern: not AI versus judgment, but the ongoing challenge of building sociotechnical systems in which human and machine capacities genuinely complement each other.
dc.abstract.plDariusz Jemielniak’s article presents a carefully constructed and valuably provocative case that AI systematically erodes organizational rationality. The argument is lucid, well-referenced, and arrives at a conclusion that many practitioners would do well to take seriously. This response, however, suggests that the paper’s framing rests on a characterization of AI epistemology that the research community has substantially moved beyond, and that it measures AI’s limitations against an account of human organizational judgment that is more idealized than the empirical record supports. By engaging critically with the paper’s core moves, this response does not seek to minimize the real problems Jemielniak identifies, but rather to redirect the inquiry toward the more productive questions of design, governance, and institutional structure that those problems demand. The argument proceeds from a shared concern: not AI versus judgment, but the ongoing challenge of building sociotechnical systems in which human and machine capacities genuinely complement each other.
dc.contributor.authorAleksandra Przegalińska
dc.date.accessioned2026-05-29T10:08:20Z
dc.date.available2026-05-29T10:08:20Z
dc.date.issued2026
dc.date.published2026-05-29
dc.description.issue1
dc.description.versionAAM
dc.description.volume38
dc.identifier.affiliationKozminski University
dc.identifier.issn3071-7973
dc.identifier.orcid0000-0003-0864-8007
dc.identifier.urihttps://repozytorium.kozminski.edu.pl/handle/item/3937
dc.languageen
dc.pbn.affiliationmanagement and quality studies
dc.publisherCollective and Individual Decisions
dc.relation.ispartofCollective and Individual Decisions
dc.rightsCC-BY-4.0
dc.subject.plorganizational rationality
dc.subject.plhuman-AI collaboration
dc.subject.plautomation bias
dc.subject.plalgorithmic decision-making
dc.subject.plexplainable AI
dc.subject.plbounded rationality
dc.subject.plAI governance
dc.subject.plsociotechnical systems 1 Aleksandra
dc.subtypeOriginal
dc.title

Rationality, Augmentation, and the Limits of Critique

dc.typeArticle
dspace.entity.typePublication