From a scientific standpoint, trustworthiness in AI hinges on transparency and verifiability. Without clear sources, even accurate AI outputs remain unverifiable hypotheses. The scientific method demands evidence that can be checked. Thus, AI systems lacking source citations fail this core principle, risking propagation of unchecked errors and bias. Trustworthy AI involves integrating explainability and source tracking to maintain rigor and accountability.