Research ideas for artificial intelligence in auditing: The formalization of audit and workforce supplementation (2024)

Issa, H., Sun, T. (2016). Research ideas for artificial intelligence in auditing: The formalization of audit and workforce supplementation. Journal of Emerging Technologies in Accounting, 13(2), 1-20. https://doi.org/10.2308/jeta-10511

Issa, Hussein ; Sun, Ting ; Vasarhelyi, Miklos A. / Research ideas for artificial intelligence in auditing : The formalization of audit and workforce supplementation. In: Journal of Emerging Technologies in Accounting. 2016 ; Vol. 13, No. 2. pp. 1-20.

@article{0ff63f72002a49d9b5fe1382697b2711,

title = "Research ideas for artificial intelligence in auditing: The formalization of audit and workforce supplementation",

abstract = "After decades of frustration with long “AI Winters,” various business industries are witnessing the arrival of AI{\textquoteright}s “Spring,” with its massive and compelling benefits. Auditing will also evolve with the application of AI. Recently, there has been a progressive evolution of technology aimed at creating “artificially intelligent” devices. Although this evolution has been permeated with false starts and exaggerated claims, there is some convergence on the fact that substantive progress has been obtained in the last few years with the adoption of deep learning in conjunction with much faster machines and dimensionally larger storage spaces (and samples). The area of auditing has lagged business adoption in the past (Oldhouser 2016), but is prime for partial automation due to its labor intensiveness and range of decision structures. Several accounting firms have disclosed substantive investments in the AI fields. This paper proposes various areas of AI-related research to examine where this emerging technology is most promising. Moreover, this paper raises a series of methodological and evolutionary research questions aiming to study the AI-driven transformation of today{\textquoteright}s world of audit into the assurance of the future.",

keywords = "Artificial intelligence, Auditing, Automation, Deep learning, Workforce",

author = "Hussein Issa and Ting Sun and Vasarhelyi, {Miklos A.}",

note = "Publisher Copyright: {\textcopyright} 2016, American Accounting Association. All rights reserved.",

year = "2016",

doi = "https://doi.org/10.2308/jeta-10511",

language = "American English",

volume = "13",

pages = "1--20",

journal = "Journal of Emerging Technologies in Accounting",

issn = "1554-1908",

publisher = "American Accounting Association",

number = "2",

}

Issa, H, Sun, T 2016, 'Research ideas for artificial intelligence in auditing: The formalization of audit and workforce supplementation', Journal of Emerging Technologies in Accounting, vol. 13, no. 2, pp. 1-20. https://doi.org/10.2308/jeta-10511

Research ideas for artificial intelligence in auditing: The formalization of audit and workforce supplementation. / Issa, Hussein; Sun, Ting; Vasarhelyi, Miklos A.
In: Journal of Emerging Technologies in Accounting, Vol. 13, No. 2, 2016, p. 1-20.

Research output: Contribution to journal › Editorial › peer-review

TY - JOUR

T1 - Research ideas for artificial intelligence in auditing

T2 - The formalization of audit and workforce supplementation

AU - Issa, Hussein

AU - Sun, Ting

AU - Vasarhelyi, Miklos A.

N1 - Publisher Copyright: © 2016, American Accounting Association. All rights reserved.

PY - 2016

Y1 - 2016

N2 - After decades of frustration with long “AI Winters,” various business industries are witnessing the arrival of AI’s “Spring,” with its massive and compelling benefits. Auditing will also evolve with the application of AI. Recently, there has been a progressive evolution of technology aimed at creating “artificially intelligent” devices. Although this evolution has been permeated with false starts and exaggerated claims, there is some convergence on the fact that substantive progress has been obtained in the last few years with the adoption of deep learning in conjunction with much faster machines and dimensionally larger storage spaces (and samples). The area of auditing has lagged business adoption in the past (Oldhouser 2016), but is prime for partial automation due to its labor intensiveness and range of decision structures. Several accounting firms have disclosed substantive investments in the AI fields. This paper proposes various areas of AI-related research to examine where this emerging technology is most promising. Moreover, this paper raises a series of methodological and evolutionary research questions aiming to study the AI-driven transformation of today’s world of audit into the assurance of the future.

AB - After decades of frustration with long “AI Winters,” various business industries are witnessing the arrival of AI’s “Spring,” with its massive and compelling benefits. Auditing will also evolve with the application of AI. Recently, there has been a progressive evolution of technology aimed at creating “artificially intelligent” devices. Although this evolution has been permeated with false starts and exaggerated claims, there is some convergence on the fact that substantive progress has been obtained in the last few years with the adoption of deep learning in conjunction with much faster machines and dimensionally larger storage spaces (and samples). The area of auditing has lagged business adoption in the past (Oldhouser 2016), but is prime for partial automation due to its labor intensiveness and range of decision structures. Several accounting firms have disclosed substantive investments in the AI fields. This paper proposes various areas of AI-related research to examine where this emerging technology is most promising. Moreover, this paper raises a series of methodological and evolutionary research questions aiming to study the AI-driven transformation of today’s world of audit into the assurance of the future.

KW - Artificial intelligence

KW - Auditing

KW - Automation

KW - Deep learning

KW - Workforce

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U2 - https://doi.org/10.2308/jeta-10511

DO - https://doi.org/10.2308/jeta-10511

M3 - Editorial

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VL - 13

SP - 1

EP - 20

JO - Journal of Emerging Technologies in Accounting

JF - Journal of Emerging Technologies in Accounting

IS - 2

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Issa H, Sun T, Vasarhelyi MA. Research ideas for artificial intelligence in auditing: The formalization of audit and workforce supplementation. Journal of Emerging Technologies in Accounting. 2016;13(2):1-20. doi: https://doi.org/10.2308/jeta-10511