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Responsible Intelligence: A Framework for Managing AI Hallucinations in the Metaverse Systems
Abstract
The integration of multimodal generative AI into metaverse environments has intensified hallucination-driven distortions, creating synthetic outputs that appear credible within immersive spaces and influence judgment, behaviour and decision accuracy. Continuous presence in avatar-based ecosystems heightens perceptual reality drift and cognitive misalignment. The absence of responsible intelligence mechanisms for detection, monitoring and mitigation leaves immersive system users exposed to synthetic narrative manipulation, fabricated identity signals and cross-modal inconsistency. Fragmented regulation and limited provenance verification deepen risks as hallucination cycles evolve without oversight. This study develops a governance framework centred on real-time authenticity assurance, distortion tracking and consistency verification. It advances a structured approach to protect immersive participants, reduce uncontrolled hallucination escalation and strengthen accountable metaverse safety architecture.
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