Cataloger-led
The system supports professional work; it does not replace responsibility for the final bibliographic record.
Featured Project · AI-Assisted Cataloging
RICA
Rizal Library Intelligent Cataloging Assistant
RICA is an AI-assisted, cataloger-led MARC 21 initiative designed to support professional cataloging work while keeping final review, editing and approval with the cataloger.
This profile focuses on RICA’s purpose, professional safeguards, and public-facing capabilities.
RICAHuman-reviewed
Professional judgmentThe cataloger remains responsible for the final record.
Standards-awareDesigned around professional bibliographic and metadata practice.
Controlled useReview and approval remain part of the cataloging workflow.
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Project Focus
AI assistance without giving up professional cataloging judgment.
RICA was developed around a practical cataloging question: how can intelligent assistance support bibliographic work without removing the professional cataloger from the decision-making process?
RICA supports reviewable MARC 21 work, cataloger-led use, and controlled implementation. It is designed to assist professional cataloging rather than replace professional expertise.
Reviewable
Outputs remain subject to cataloger checking, editing and approval.
Institutional
The project is designed for use within an actual cataloging environment and professional practice.
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