IDEAS home Printed from https://ideas.repec.org/a/aud/audfin/v22y2024i176p724.html
   My bibliography  Save this article

Professional Judgment and Skepticism Amidst the Interaction of Artificial Intelligence and Human Intelligence

Author

Listed:
  • Delia DELIU

    (West University of Timisoara, Romania)

Abstract

Artificial Intelligence (AI) has revolutionized various industries by learning from data, mimicking human behavior, and making autonomous decisions. However, despite AI's advancements in data processing and decision-making, it cannot fully replicate human attributes such as emotional understanding and ethical judgment. This paper explores the intersection of AI and Human Intelligence (HI) within the audit profession, focusing on the implications for the auditor’s professional judgment and skepticism. The integration of AI in auditing promises enhanced efficiency, precision, and data processing capabilities beyond human limits. However, it also raises ethical concerns regarding data privacy, algorithmic bias, and accountability. These concerns highlight the importance of maintaining human oversight and ethical standards in audit practices. Through a comprehensive literature review, this study compares the cognitive abilities, functional capabilities, and ethical implications of AI and human auditors. Key findings underscore AI's potential to complement human auditors by improving accuracy and uncovering anomalies, while recognizing the irreplaceable role of human judgment in complex decision-making processes. The study provides insights into the transformative impact of AI on the audit profession, advocating for a balanced approach that harnesses AI's capabilities while preserving the integrity and critical thinking of human auditors. The findings contribute to a deeper understanding of AI's integration into auditing, informing best practices and guiding future research in maintaining the profession's standards amidst technological advancements.

Suggested Citation

  • Delia DELIU, 2024. "Professional Judgment and Skepticism Amidst the Interaction of Artificial Intelligence and Human Intelligence," The Audit Financiar journal, Chamber of Financial Auditors of Romania, vol. 22(176), pages 724-741, October.
  • Handle: RePEc:aud:audfin:v:22:y:2024:i:176:p:724
    as

    Download full text from publisher

    File URL: http://revista.cafr.ro/temp/Article_9781.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anastassia Fedyk & James Hodson & Natalya Khimich & Tatiana Fedyk, 2022. "Is artificial intelligence improving the audit process?," Review of Accounting Studies, Springer, vol. 27(3), pages 938-985, September.
    2. Gultom, Juan Barus & Murwaningsari, Etty & Umar, Haryono & Mayangsari, Sekar, 2021. "Reciprocal Use of Artificial Intelligence in Audit Assignments," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 11(1), pages 9-20.
    3. Carmen Olsen & Anna Gold, 2018. "Future research directions at the intersection between cognitive neuroscience research and auditors’ professional skepticism," Journal of Accounting Literature, Emerald Group Publishing Limited, vol. 41(1), pages 127-141, March.
    4. Victoria Bogdan & Delia Deliu & Tomina Săveanu & Olimpia Iuliana Ban & Dorina Nicoleta Popa, 2020. "Roll the Dice—Let’s See If Differences Really Matter! Accounting Judgments and Sustainable Decisions in the Light of a Gender and Age Analysis," Sustainability, MDPI, vol. 12(18), pages 1-31, September.
    5. Ivy Munoko & Helen L. Brown-Liburd & Miklos Vasarhelyi, 2020. "The Ethical Implications of Using Artificial Intelligence in Auditing," Journal of Business Ethics, Springer, vol. 167(2), pages 209-234, November.
    6. Gultom, Juan Barus & Murwaningsari, Etty & Umar, Haryono & Mayangsari, Sekar, 2021. "Reciprocal Use of Artificial Intelligence in Audit Assignments," Journal of Accounting, Business and Finance Research, Scientific Publishing Institute, vol. 11(1), pages 9-20.
    7. Pomerol, Jean-Charles, 1997. "Artificial intelligence and human decision making," European Journal of Operational Research, Elsevier, vol. 99(1), pages 3-25, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Muhammad Khairuldin Al Hafiz Ismail & Wan Ahmad Aqief Muhaideen Ahmad Rajiun & Saidatul Shahnaz Binti Mustapa Kamal & Nurin Irdina Azmidal & Nurfatihah Izzati Sharul Nizam & Nur Danisha Iman Mohammad , 2024. "AI-Powered Internal Auditing: Transforming the Profession for a New Era," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(10), pages 2406-2413, October.
    2. Peters, Christian P. H., 2023. "The microfoundations of audit quality," Other publications TiSEM 6a2b12a5-6060-4544-883b-e, Tilburg University, School of Economics and Management.
    3. Fadi Bou Reslan & Nada Jabbour Al Maalouf, 2024. "Assessing the Transformative Impact of AI Adoption on Efficiency, Fraud Detection, and Skill Dynamics in Accounting Practices," JRFM, MDPI, vol. 17(12), pages 1-16, December.
    4. Czarnitzki, Dirk & Fernández, Gastón P. & Rammer, Christian, 2023. "Artificial intelligence and firm-level productivity," Journal of Economic Behavior & Organization, Elsevier, vol. 211(C), pages 188-205.
    5. Angelica Buboi (Danaila), 2023. "Overall Impact of Specific Regulations on the Statutory Auditor's Behavior," Ovidius University Annals, Economic Sciences Series, Ovidius University of Constantza, Faculty of Economic Sciences, vol. 0(1), pages 265-275, August.
    6. Sayed Fayaz Ahmad & Heesup Han & Muhammad Mansoor Alam & Mohd. Khairul Rehmat & Muhammad Irshad & Marcelo Arraño-Muñoz & Antonio Ariza-Montes, 2023. "Impact of artificial intelligence on human loss in decision making, laziness and safety in education," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    7. Chen, Pengyu & Chu, Zhongzhu & Zhao, Miao, 2024. "The Road to corporate sustainability: The importance of artificial intelligence," Technology in Society, Elsevier, vol. 76(C).
    8. Andrea Cardoni & Evgeniia Kiseleva & Francesco De Luca, 2020. "Continuous auditing and data mining for strategic risk control and anticorruption: Creating “fair” value in the digital age," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3072-3085, December.
    9. Adrian GROȘANU & Melinda-Timea FÜLÖP & Nicolae MĂGDAȘ, 2024. "Ethical Dilemmas in Digital Accounting: A Comprehensive Literature Review," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 5(4), pages 56-67, April.
    10. Gilbert Giacomoni, 2022. "Towards a general framework for innovation shaped with AI to create and transform market offerings [Vers un cadre général d’innovation façonné par l’IA pour créer et transformer les offres du march," Post-Print hal-04083376, HAL.
    11. Ballantine, Joan & Boyce, Gordon & Stoner, Greg, 2024. "A critical review of AI in accounting education: Threat and opportunity," CRITICAL PERSPECTIVES ON ACCOUNTING, Elsevier, vol. 99(C).
    12. Zhang, Chanyuan (Abigail) & Cho, Soohyun & Vasarhelyi, Miklos, 2022. "Explainable Artificial Intelligence (XAI) in auditing," International Journal of Accounting Information Systems, Elsevier, vol. 46(C).
    13. Bonsón, Enrique & Lavorato, Domenica & Lamboglia, Rita & Mancini, Daniela, 2021. "Artificial intelligence activities and ethical approaches in leading listed companies in the European Union," International Journal of Accounting Information Systems, Elsevier, vol. 43(C).
    14. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    15. Christoph Keding, 2021. "Understanding the interplay of artificial intelligence and strategic management: four decades of research in review," Management Review Quarterly, Springer, vol. 71(1), pages 91-134, February.
    16. Radu USZKAI & Cristina VOINEA & Toni GIBEA, 2021. "Responsibility Attribution Problems In Companies: Could An Artificial Moral Advisor Solve This?," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 951-959, November.
    17. Vladimir A. Masch, 2017. "¡°Shifting the Paradigm¡± in Superintelligence," Review of Economics & Finance, Better Advances Press, Canada, vol. 8, pages 17-30, May.
    18. Ani STOYKOVA, 2024. "AI in Accounting: Insights from a Bibliometric Analysis," CECCAR Business Review, Body of Expert and Licensed Accountants of Romania (CECCAR), vol. 5(8), pages 56-71, August.
    19. Thanos Papadopoulos & Uthayasankar Sivarajah & Konstantina Spanaki & Stella Despoudi & Angappa Gunasekaran, 2022. "Editorial: Artificial Intelligence (AI) and Data Sharing in Manufacturing, Production and Operations Management Research," Post-Print hal-03766170, HAL.
    20. Andreas Schirmer, 2000. "Case‐based reasoning and improved adaptive search for project scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(3), pages 201-222, April.

    More about this item

    Keywords

    digitalization; digital transformation; Artificial Intelligence; human intelligence; professional judgment; professional skepticism; auditor; audit profession;
    All these keywords.

    JEL classification:

    • M42 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Auditing
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • L84 - Industrial Organization - - Industry Studies: Services - - - Personal, Professional, and Business Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aud:audfin:v:22:y:2024:i:176:p:724. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dumitru Valentin Florentin (email available below). General contact details of provider: http://revista.cafr.ro/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.