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The Algorithmic Librarian: AI, Data Curation, and the Future of Research Collaboration | de Leon | College & Research Libraries
The Algorithmic Librarian: AI, Data Curation, and the Future of Research Collaboration | de Leon | College & Research Libraries
A thorough literature review of how academic librarians are adapting to AI, organized around algorithmic literacy, data stewardship, ethical governance, and evolving professional identity. Useful as a representative example of the field's dominant response to AI: expanding librarian competencies within the existing document-centric framework. Every recommendation assumes a stable artifact a trained professional can evaluate. The exchange, and the dissolution of the document inside it, is absent. Compare with Lo (2025) on AI literacy and the ACRL Framework, both of which de Leon treats as adequate foundations. The piece illustrates precisely the move the Information Shock thesis identifies as insufficient for Mode 2 authorship.
#ai-literacy#librarianship
·crl.acrl.org·
The Algorithmic Librarian: AI, Data Curation, and the Future of Research Collaboration | de Leon | College & Research Libraries
(4) WE ARE LOOKING AT ARTIFICIAL INTELLIGENCE FROM A LEVEL THAT IS NO LONGER SUFFICIENT | LinkedIn
(4) WE ARE LOOKING AT ARTIFICIAL INTELLIGENCE FROM A LEVEL THAT IS NO LONGER SUFFICIENT | LinkedIn

Albiniak argues the AGI question is the wrong landmark. The threshold that matters is not when a machine surpasses a person but when technological development stops being exclusively human-authored, as systems enter the loop that produces the next systems. No consciousness required, no announcement, probably no date.

Worth keeping for two reasons. It reaches the capability-to-authorship reframe independently, from AI development rather than information science. And it extends unaccountability upstream: the conversant answers to no one, and increasingly neither does the chain behind it.

Stays on the production side throughout. No learner, no account of what a person comes away believing. Maps the territory upstream of the exchange.

#authorship#knowledge infrastructure
·linkedin.com·
(4) WE ARE LOOKING AT ARTIFICIAL INTELLIGENCE FROM A LEVEL THAT IS NO LONGER SUFFICIENT | LinkedIn
The Informed No: What AI Destroys That Libraries Are Designed to Protect
The Informed No: What AI Destroys That Libraries Are Designed to Protect
Edelenbos makes a careful case that librarians who resist AI adoption are exercising professional judgment, not technophobia: they see provenance being stripped at the architectural level, hallucinated citations flooding reference desks, and institutional authority degrading when it goes unexercised. His diagnosis overlaps substantially with Information Shock. Where he parts company is in the remedy. For Edelenbos, the answer is to rebuild the document infrastructure with librarians as architects of better ontology pipelines, calibration standards, and hybrid human-AI workflows. Information Shock says that diagnosis is correct but incomplete: the site where people come to know things has moved from the document to the exchange, and no amount of better cataloguing reaches the place where the hallucinated citation was actually produced.
·linkedin.com·
The Informed No: What AI Destroys That Libraries Are Designed to Protect
Strategic Cognitive Offloading: What the Research Says, and Why Higher Education Isn't Ready for It
Strategic Cognitive Offloading: What the Research Says, and Why Higher Education Isn't Ready for It
An interesting summarization of research on AI and it's impact on critical thinking in a higher ed context. Of special note, see how much the research focuses on the second form of AI authorship (knowledge creation), but then reverts to things like AI literacy.
·tawnyameans.substack.com·
Strategic Cognitive Offloading: What the Research Says, and Why Higher Education Isn't Ready for It