How can we ensure the accuracy of literature citations when writing with AI tools?

Ensuring citation accuracy in AI-assisted writing necessitates systematic verification through multiple methods. Achieving reliability is feasible by implementing rigorous validation procedures. Critical principles include comparing AI-generated citations against original sources, verifying bibliographic details for consistency, and critically evaluating contextual relevance. Cross-referencing with academic databases helps authenticate references while maintaining awareness of AI hallucinations remains essential. This process demands human oversight across all disciplines employing AI tools. Implementation requires establishing a verification workflow: first, isolate all references produced by the AI. Subsequently, locate each source independently using library databases or publisher platforms to confirm existence and accuracy. Third, meticulously check author names, publication dates, journal titles, page numbers, and DOIs against the located source. Finally, ensure the in-text citation aligns precisely with the corresponding reference list entry and accurately represents the source's claim. This diligence preserves academic integrity and prevents attribution errors.