When using AI for writing, how can we ensure that the evidence in the article is sufficient?

Ensuring sufficient evidence in AI-assisted writing requires deliberate oversight, strategic prompting, and rigorous human verification to compensate for AI limitations in factual judgment. While AI generates text rapidly, its capacity to discern evidentiary adequacy remains dependent on human guidance. The process hinges on key principles: precise initial prompts specifying evidence scope and credibility thresholds; critical evaluation of AI-sourced claims against original, authoritative sources like peer-reviewed literature; verification for factual accuracy, relevance, and absence of hallucination; and diversity in sourced perspectives to avoid bias. Users must actively confirm cited works exist and contextually support arguments. Begin by explicitly instructing the AI on the required depth and quality of evidence. Analyze the AI's output meticulously: trace all claims and citations back to verified sources, supplementing where necessary. Discard unsupported assertions. Integrate human expertise to interpret evidence significance and relevance within the specific argumentative framework, ensuring robust alignment between claims and substantiating data throughout the final work.