Responsible AI use in discovery, research workflows and data stewardship.
Evaluate provenance, errors, privacy and human responsibility before deploying an AI tool. Bibliographic retrieval, automated classification and clinical decision support are different tasks and should not share unqualified claims of validation.
This collection connects explanatory articles with the existing technology research domain. Use the source bibliographies for substantive claims and the reference catalogue for further discovery. Catalogue tags are not a scientific appraisal.
Explore the GARC research domainAI can assist a research workflow without becoming the authority for its conclusions. The first task is to define what the system is doing: retrieving sources, organizing metadata, drafting text or supporting a decision.
Source check: 2026-10-27 · No independent expert review claimedRead the explanationResponsible AI research requires governance around the complete workflow: data access, intended use, human checking, errors and accountability. A disclaimer added after deployment cannot replace those decisions.
Source check: 2026-10-27 · No independent expert review claimedRead the explanationResearch sources serve different purposes. A bibliography database, clinical registry, funding database and data repository should not be combined as though they contain the same kinds of evidence.
Source check: 2026-10-27 · No independent expert review claimedRead the explanationA reproducible search log records what was searched and how the result set was produced. It is a working research document, not simply a list of keywords copied into a final report.
Source check: 2026-10-27 · No independent expert review claimedRead the explanationSelected external citation metadata; these records were not all scientifically appraised for the explanations above.
Explore Evidence. Understand Research. Advance Knowledge. Inform Decisions.
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