Artificial Intelligence for Auditing

Although the potential benefits of artificial intelligence have been widely publicized, little is known about the relationship between artificial intelligence and auditing. This study examines the current state of artificial intelligence capabilities to achieve audit objectives. Using survey questionnaires, we collected data from company auditors in Brazil. We used neurofuzzy modeling to ex-amine the study hypothesis. Preliminary results indicate moderate prominence of artificial intelligence capabilities in achieving audit objectives. The findings suggest that the main challenges to be overcome are related to tangible resources such as data, technologies, technical human resources, etc. This study fills a gap in the literature and makes significant contributions: it advances existing literature arguments on artificial intelligence capabilities and audit objectives; provides critical insights into where to invest resources to develop artificial intelligence capabilities towards audit objectives; sheds light to managers on which capabilities should be encouraged in decisions to ensure reliability in the information produced for decision-making by stakeholders; and shows managers which paths can still be taken to increase audit performance based on artificial intelligence.