Evaluating AI Tools for Research: A Framework for Accuracy, Bias, and Trustworthiness

The article addresses the critical challenge of ensuring reliability in AI-assisted research, where the bottleneck is no longer information access but the accuracy of AI outputs. It proposes a three-layer model—retrieval integrity, reasoning fidelity, and output verifiability—to evaluate AI tools for research.