Over-reliance on AI identifies scenarios where users or systems rely excessively on AI model decisions without adequate human supervision or validation, causing operational and security risks. Testing verifies if the application implements sufficient controls to prevent automated critical decisions without review, communicates model limits correctly, handles hallucinations and erroneous outputs, and provides human fallbacks for high-impact operations. Relevant for AI systems in medical, financial, legal, and critical decision-making fields.