HALLELUAI: A Hallucination-Aware AI System for Ultra-Realistic Image-to-Video Generation at Scale

Quality control is essential for scaling AI video production: The paper demonstrates that automated moderation systems can help meet "expert-level creative standards," suggesting that without such safeguards, AI-generated video at scale risks inconsistent quality and potential misuse in marketing and product contexts.

AI systems can "hallucinate" visual content that wasn't in the source image: HALLELUAI specifically detects "fine-grained hallucination risks" where the AI generates details not present in the original image, highlighting a key reliability concern when AI video is used for product representation or brand safety.

Human oversight remains critical for responsible deployment: The system was validated through "human-in-the-loop evaluations with creative experts," indicating that human judgment is still necessary to ensure AI-generated content meets professional standards and ethical requirements, rather than relying on automation alone.

Transparency through "machine-actionable feedback" supports accountability: The moderation module produces "granular, machine-actionable feedback" that explains why content failed quality checks, enabling stakeholders to understand and audit decisions rather than treating the system as a black box.

Responsible AI video requires multiple safeguards working together: The system combines aesthetic evaluation, motion fidelity checks, hallucination detection, and brand safety measures, suggesting that single-layer protections are insufficient—responsible deployment requires layered, complementary quality controls.