The Increasing Role of It Auditors in Financial Audit: Risks and Intelligent Answers

Barta, Gergo

doi:10.3846/bme.2018.2142

Cited by 13 publications

(12 citation statements)

References 3 publications

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“…In order to resolve the contradictions, a coordination mechanism between financial auditing and financial supervision should be established, making full use of financial risk management techniques, enhancing the data processing capabilities of audit workers, and giving full play to auditing. Relevant scholars also believe that financial auditing should give full play to its unique advantages of independence, work with financial regulatory agencies to play a re-supervision function, and jointly maintain national financial security by strengthening the mutual cooperation between government financial auditing agencies and national financial regulatory agencies [ 30 ].…”

Section: Background and Related Workmentioning

confidence: 99%

[Retracted] Construction and Simulation of Financial Audit Model Based on Convolutional Neural Network

Zhang

2021

Computational Intelligence and Neuroscience

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Big data has brought a new round of information revolution. Faced with the goal of full coverage of audit and supervision, making full use of big data is the main method to promote the realization of the goal of full coverage of audit and supervision. Data analysis and utilization is an indispensable task of auditing. Actively exploring multidimensional and intelligent data analysis methods and developing big data audit cases are the new development direction of auditing. The convolutional neural network’s excellent ability to extract data features well meets the relevant requirements of financial auditing. However, in practical applications, convolutional neural networks often encounter various problems such as disappearance of gradients and difficulty in convergence, which reduces its expected performance in financial audit applications. In order to make the performance of the financial audit model based on convolutional neural network more excellent, after summarizing the characteristics of genetic algorithm, this article applies genetic algorithm to the optimization of the convolutional neural network model. We applied genetic algorithm to optimize the initial weights of the convolutional neural network. The error sensitivity and learning rate changes of different hidden layers are discussed, the influence of different learning rates on the convergence speed of convolutional neural networks is analyzed, and the recognition performance of other algorithms on financial audit data sets is simulated and compared. We conducted experiments on the network structure and parameter optimization on the financial audit database. The results show that the recognition error rate of the convolutional neural network model with improved learning rate algorithm in the financial audit data set is lower than that of the multilayer feedforward network, so it has better performance.

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Section: Background and Related Workmentioning

confidence: 99%

[Retracted] Construction and Simulation of Financial Audit Model Based on Convolutional Neural Network

Zhang

2021

Computational Intelligence and Neuroscience

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“…Andrew Clark examined AI development procedures in terms of audit considerations and published several articles how internal or external auditors shall adjust their audit plans when it comes to AI (Clark, 2016(Clark, , 2017(Clark, , 2018. Auditing is an important part of risk assessment, as the primary function of the audit team is to obtain reasonable assurance whether internal controls are operating effectively that are an option to reduce business risk to an acceptable level (Barta, 2018b). Thus, developing audit procedures to obtain assurance over internal controls is indispensable part of the organisational risk management framework and so as to appropriately assess risk, auditing must be in place and be performed in a timely manner.…”

Section: Related Workmentioning

confidence: 99%

Risk management considerations for artificial intelligence business applications

Barta

Görcsi

2021

IJEBR

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The number of projects and the amount of investment into artificial intelligence (AI) based business process automation is increasing that is also due to research advancements in corresponding fields. To utilise its true power, business organisations shall identify and treat risks arising from AI, that must be reduced to an acceptable level to maintain fraud-free business operation in alignment with external legislative requirements. If risks are not assessed, then AI might cause greater headache resulting in expensive implementation without business benefit. The objective of the paper is to analyse the nature of risk elements that AI can bring to the life of corporations and the countermeasures that shall be implemented by analysing general IT risk assessment processes and the stages of intelligent system development. The article also examines frameworks for AI risk management approaching risks associated with intelligent decision making by providing guidelines of required business processes to be implemented.

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“…Moreover, Omoteso (2012) and Barta (2018) examined the use of artificial intelligence in the procedures of auditing in light of auditing and audit standards. They showed that auditing procedures require development in the environment of modern business and auditors should increase their efforts to have an effective role in judgment and control.…”

Section: Previous Studiesmentioning

confidence: 99%

The Impact of Expert Systems on Enhancing the General Controls over the Computerized Accounting Information Systems

El-Dalabeeh¹,

AlZughoul²

2020

IJARAFMS

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This study aimed to identify the impact of expert systems in improving the general controls of computerized accounting information systems in the Jordanian industrial public shareholding companies listed in Amman Stock Exchange. To achieve this goal, the researchers depended on the descriptive and analytical approaches. The study population consisted of all Jordanian industrial public shareholding companies and the study sample was selected from companies using the expert systems, numbering 32 companies. A questionnaire was formulated and 140 copies were distributed. SPSS was used to analyze data. The researchers found that there is an impact of expert systems in improving the general controls of the computerized accounting information systems four pillars, regulatory controls , access controls, controls the security of files, and documentation of controls and the development and maintenance of devices. Based on the result, the researchers recommended that there is a need of developing training programs for the staff of the Jordanian industrial companies to increase their awareness and understanding of the uses of expert systems, as this could assist them in avoiding errors during system use and consequently lead to strengthening general controls in the companies.

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The Increasing Role of It Auditors in Financial Audit: Risks and Intelligent Answers

Cited by 13 publications

References 3 publications

[Retracted] Construction and Simulation of Financial Audit Model Based on Convolutional Neural Network

[Retracted] Construction and Simulation of Financial Audit Model Based on Convolutional Neural Network

Risk management considerations for artificial intelligence business applications

The Impact of Expert Systems on Enhancing the General Controls over the Computerized Accounting Information Systems

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