As the integration of metaverse technology and autonomous vehicles continues to reshape urban landscapes, ensuring responsible and unbiased actions through ethical decision-making algorithms is crucial. This paper introduces ETHIMET: a Novel Ethical Mitigation Framework for Unintended Biases in Metaverse-Integrated Autonomous Vehicle Decision- Making. ETHIMET addresses potential biases that may arise in the ethical decision-making processes within the metaverse. The rapid advancement of artificial intelligence and virtual environments has introduced complexities to governing autonomous vehicles' ethical considerations. Unintended biases inherent in metaverse data sources and interactions can distort ethical decisions, resulting in suboptimal outcomes and social inequities. ETHIMET navigates this intricate landscape by integrating advanced techniques from machine learning, ethics, and user customization. Key components of ETHIMET include comprehensive data collection and analysis, robust bias detection and quantification methods, ethical feature mapping, and dynamic bias mitigation strategies. The framework incorporates a dynamic learning mechanism that continually monitors and adapts to emerging biases, ensuring an adaptive approach to bias mitigation. Moreover, ETHIMET introduces user-driven customization, enabling individuals to adjust the algorithm's sensitivity to specific biases based on their ethical preferences and values. ETHIMET emphasizes transparency and accountability by providing mechanisms to attribute biases, elucidate their origins, and offer transparent insights into decision-making processes. Regular evaluations and external audits are integrated to uphold the integrity of bias mitigation strategies. In summary, ETHIMET contributes to ongoing discussions on metaverse-driven autonomous vehicles by offering a novel algorithmic solution that addresses unintended biases in ethical decision-making. By recognizing the intricate interplay of virtual environments and ethical considerations, ETHIMET provides a dynamic, customizable, and transparent approach to mitigating biases. By promoting unbiased decision-making within the metaverse, ETHIMET establishes a foundation for the responsible and equitable deployment of autonomous vehicles in smart urban landscapes.