نوع مقاله : مقاله پژوهشی
عنوان مقاله English
نویسندگان English
The present study investigated the effect of factors based on artificial intelligence components (intelligence, design, selection) on auditors' judgment. This applied research is descriptive-survey in nature and correlational in method. In this direction, three dimensions of intelligence, design, and selection of artificial intelligence were considered and based on them; the relevant components were identified. The statistical population of this study was all audit accountants and the required data was collected using a researcher-made questionnaire among 201 people. After that; inferential statistical methods such as t-test and structural equation modeling using the PLS method were used to analyze the data. The results of this study showed that data collection, identification of objectives, evaluation and effectiveness, corrective actions, risk reporting, IT-based auditing, and risk assessment have a positive and significant effect on auditors' judgments; but statistically; The impact of problem identification, data validity, problem organization, control environment, accounting systems, data manipulation, data security, creating statistics and figures about alternatives, maximizing alternatives, changing how alternatives are selected, and network importance on auditors' judgment was not verified.