<prompt> Hlalosa lentsoe AI explainability.nan  <response>: Instruction in English: Explain the term AI explainability. . Response in English: AI explainability refers to the ability of a machine learning model or artificial intelligence system to provide clear, understandable reasons for its actions, decisions, or predictions. It is the process of making the internal workings of an AI system transparent, allowing users to understand how it arrived at a specific output. This is important for building trust in AI systems, ensuring they make decisions in an ethical manner, and allowing for human intervention when necessary. AI explainability enhances the transparency, fairness, and accountability of AI systems, making them more reliable and easier to use. . Response in Sesotho: Tlhaloso ea AI e bolela bokhoni ba mochine oa ho ithuta kapa mokhoa oa bohlale ba maiketsetso ho fana ka mabaka a hlakileng, a utloahalang bakeng sa liketso, liqeto kapa likhakanyo. Ke mokhoa oa ho etsa hore tsebetso ea kahare ea sistimi ea AI e be pepeneneng, e lumellang basebelisi ho utloisisa hore na e fihlile joang tlhahisong e itseng. Sena se bohlokoa bakeng sa ho aha tsepo litsebetsong tsa AI, ho netefatsa hore ba etsa liqeto ka mokhoa oa boitšoaro, le ho lumella ho kenella ha batho ha ho hlokahala. Tlhaloso ea AI e ntlafatsa ponaletso, toka, le boikarabello ba litsamaiso tsa AI, ho etsa hore li tšepahale le ho li sebelisa habonolo. 