Description: Plausibility refers to the quality of being reasonable or probable in the context of predictions and outcomes generated by artificial intelligence (AI) systems. In the realm of explainable AI, plausibility is fundamental as it allows users to understand and trust the decisions made by complex algorithms. Plausibility implies that AI results are not only accurate but also make sense within the context in which they are applied, facilitating the acceptance and implementation of these technologies across various fields. In general computing, plausibility relates to the ability of systems to emulate human cognitive processes, enabling them to generate responses that are coherent and logical. In the field of AI ethics, plausibility becomes an essential criterion for assessing the fairness and transparency of AI systems, ensuring that their decisions are understandable and justifiable. Finally, in virtual environments, plausibility refers to the ability to create settings and experiences that are believable and effectively mimic reality, enhancing user immersion and interaction.
