perceived as fair in all cases

Despite its potential, GenAI also comes with challenges. Issues related to data quality, ethics, privacy concerns and hallucinations (i.e., incorrect results) must be addressed to reinforce and not erode trust. For instance, Korea’s approach—directing particularly sensitive queries to human agents—reflects the need for careful oversight of confidential matters. Results must be explainable and perceived as fair in all cases. Effective knowledge management is another requirement. Revenue authorities have extensive laws, regulations, case records, and operational manuals. However, scattered archives and incomplete digitization can hamper efforts to train AI systems effectively. A human must determine which documents are accurate, relevant, and suitable for inclusion in the training material. สล็อต เว็บตรง