Hallucination to Harmony

The adoption of AI into enterprise metaverse has created more opportunities than ever before in immersive collaboration, automation, and intelligent decision-making. Nevertheless, the mass implementation of the generative and autonomous AI systems is limited by a very significant issue, namely--AI hallucination, which consists of confident and unreliable results. This is the Hallucination to Harmony: Building Reliable AI System in the Enterprise Metaverse chapter, which critically analyzes the technical, cognitive, and governance aspects of hallucination in the metaverse-based enterprise space. It considers the ways in which the new advances including self-checking AI agents, real-time causal reasoning, federated learning, neuromorphic and quantum-enhanced computing, and emotion-aware ethical agents can all change unreliable machine behavior into cognitively harmonious intelligence. The chapter also suggests a multidimensional view of achieving cognitive harmony in which human judgment and machine intelligence act as complementary forces as opposed to competing forces.