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2024 | OriginalPaper | Buchkapitel

Navigating the Impact of Artificial Intelligence on International Financial Reporting Standards (IFRS)

verfasst von : Nermin Sharbek

Erschienen in: Rethinking Business for Sustainable Leadership in a VUCA World

Verlag: Springer Nature Switzerland

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Abstract

Due to the continually evolving nature of International Financial Reporting Standards (IFRS) and the technology itself, this paper analyzes the ability for companies to leverage artificial intelligence (AI) into complying with the international financial reporting standards (IFRS). The purpose of this research is to demonstrate the gap in existing literature pertaining to the intersection of financial reporting and artificial intelligence, while also showcasing the innovative methods that companies have developed to facilitate accurate and efficient preparation of financial reporting disclosures. This paper seeks to answer the questions related to (1) the considerations for incorporating AI into a company's financial reporting disclosures and (2) Which International Financial Reporting Standards may indeed be facilitated by artificial intelligence. The results of the study indicate that many companies are still in the early stages of integrating artificial intelligence into IFRS, and ongoing development is necessary to ensure the effectiveness and efficiency of financial reporting disclosures. The tools utilized by companies are relatively new and continue to evolve, propelled by the widespread recognition of AI applications across the globe. Nevertheless, uncertainty remains regarding the reliability and appropriateness of using artificial intelligence, considering the privacy and security challenges that accounting companies face.

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Alles, M., Kogan, A.: Artificial intelligence in accounting and auditing: Volume, value, and future. 14(2), 1–14 (2017). https://doi.org/10.2308/jeta-52050

Ashoka, M.L., Abhishek, N., Divyashree, M.S.: Emerging Trends in Accounting: An Analysis of Impact of Robotics in Accounting, Reporting and Auditing of Business and Financial Information. International Journal of Business Analytics and Intelligence 7(2), 28–34 (2019)

Ayad, M., El Mezouari, S.: Research on the implication of artificial intelligence in accounting subfields: current research trends from bibliometric analysis, and research directions. Int. J. Accounting, Finance, Auditing, Management and Economics, 3(5), 503–522 (2022)

Baker: Ethics and Social Justice: Fundamental concepts (2008)

Briink It’s time to supercharge sustainable finance reporting with AI (2022). Retrieved February 26, 2023, from https://www.briink.com/post/supercharge-sustainable-finance-reporting-with-ai

CFR: Blockchain and the future of corporate reporting How does it measure up? (2018) https://www.frc.org.uk/getattachment/58866565-ab3b-44d3-93e1-1ef7158968d5/Blockchain-and-the-future-of-corporate-reporting-how-does-it-measure-up-(June-2018).pdf

Choi, B.: (2021, 1 5). Enhanced Audit Techniques Empowered by the Reinforcement Learning Pertaining to IFRS 16 Lease. Machine Learning. Retrieved from https://arxiv.org/abs/2101.05633

Emekaponuzo, D. E., Jeremiah, O. O., & Alfred, E. J. (2017). Information Technology Implications of IFRS Implementation in Nigeria: Challenges to Auditors. Journal of Investment and Management, 6(1).

Enhanced Audit Techniques Empowered by the Reinforcement Learning Pertaining to IFRS 16 Lease. (n.d.).

Fuller, J. (2018, June). Transforming the impact of financial information: the role of technology. Are traditional metrics still relevant? London: IFRS.org. Retrieved from https://www.ifrs.org/news-and-events/news/2018/06/transforming-the-impact-of-financial-information-the-role-of-technology/

Glancy, F.H., Yadav, S.B.: A computational model for financial reporting fraud detection. Decis. Support. Syst. 50(3), 595–601 (2011)CrossRef

Han, H., Shiwakoti, R. K., Jarvis, R., Mordi, C., & Botchie, D. (2023). Accounting and auditing with blockchain technology and artificial Intelligence: A literature revie. International Journal of Accounting Information Systems.

Hasan, A.R.: Artificial Intelligence (AI) in Accounting & Auditing: A Literature Review. J. Bus. Manag. 10(1), 440–465 (2022)

IBM Cloud Education. (2020). Neural Networks. Retrieved from https://www.ibm.com/uk-en/cloud/learn/neural-networks

Kernbichler, S. (2020). Artificial Intelligence in Financial Reporting. Business Administration - Master Thesis.

Lehner, O. M., Ittonen, K., Silvola, H., Strom, E., & Wuhrleitner, A. (2022). Artificial intelligence-based decision-making in accounting and auditing: ethical challenges and normative thinking. Accounting, Auditing & Accountability Journal, 35(9).

Leitner-Hanetseder, S., & M. Lehner, O. (2022). AI-powered information and Big Data: current regulations and ways forward in IFRS reporting.

Lekovic, M., & Arsenovic, S. (2013, January). The role and importance of quality financial reporting. Researchgate. Retrieved from https://www.researchgate.net/publication/283637993_The_role_and_importance_of_quality_financial_reporting

LexisNexis Risk Solutions. (2022, November). Annual LexisNexis Risk Solutions Report Finds Fraud Costs up to 22.4% from Pre-Pandemic Levels Across U.S. and Canadian Financial Services Firms. CISION PR Newswire. Retrieved from https://www.prnewswire.com/news-releases/annual-lexisnexis-risk-solutions-report-finds-fraud-costs-up-to-22-4-from-pre-pandemic-levels-across-us-and-canadian-financial-services-firms-301675103.html#:~:text=Every%20%241%20lost%20to%20fraud,2020%20to%20%243

Mahalakshm, V., Kulkarni, N., Kumar, P. K., Kumar, S. K., Sree, N. D., & Durga, S. (2021). The Role of implementing Artificial Intelligence and Machine Learning Technologies in the financial services Industry for creating Competitive intelligence. Materials Today: Proceedings.

Marr, B. (2023). Artificial Intelligence in Accounting and Finance. Bernard Marr & Co. Retrieved from Bernard Marr & Co.

Martinelli, F., Mercaldo, F., Raucci, D., & Santone, A. (2020). Predicting Probability of Default Under IFRS 9 Through Data Mining Techniques. Web, Artificial Intelligence and Network Applications. Retrieved from https://link.springer.com/chapter/https://doi.org/10.1007/978-3-030-44038-1_87

McGregor Boyall. (2021, November 15). McGregor Boyall. Why financial accounting is the ideal environment for artificial intelligence. London. Retrieved from https://www.mcgregor-boyall.com/our-thinking-library/2021/11/why-financial-accounting-is-the-ideal-environment-for-artificial-intelligence/281

McGregor, D., Carpenter, R.: Potential threats for the auditing profession, audit firms and audit processes inherent in using emerging technology. Business and Management Review (2020). https://doi.org/10.24052/BMR/V11NU02/ART-06CrossRef

Milojević, N., & Redzepagic, S. (2021). Prospects of Artificial Intelligence and Machine Learning Application in Banking Risk Management. Journal of Central Banking Theory and Practice, 41–57.

MRI Software. (2020, February 19). Artificial intelligence comes together with accounting expertise to simplify IFRS 16 transition. Artificial intelligence comes together with accounting expertise to simplify IFRS 16 transition. Retrieved from https://mricontractintelligence.com/blog/artificial-intelligence-comes-together-with-accounting-expertise-to-simplify-ifrs-16-transition/

Nitchman, M. (2016). The value of structured data: A review of information contained in XBRL filings. ournal of Business and Economic Perspectives.

Noordin, N. A., Hussainey, K., & Hayek, A. F. (2022). The Use of Artificial Intelligence and Audit Quality: An Analysis from the Perspectives of External Auditors in the UAE. Journal of Risk and Financial Management. Retrieved from https://doi.org/10.3390/jrfm15080339

O’Donnell, J.F.: What is a systematic review? Evid Based Nurs (2011). https://doi.org/10.1136/ebn.2011.0049CrossRef

Omoteso, K. (2012). The application of artificial intelligence in auditing: Looking back to the future. Expert Systems with Applications, 8490–8495.

Pau, L. F., & Gianotti, C. (1990). Applications of Artificial Intelligence in banking, financial services, and economics. Economic and Financial Knowledge-Based Processing, (pp. 22–46). doi:1007/978–3–642–76002–0_4

RamMohan, Y. R. (2012, March). Incorporating International Financial Reporting Standards into The United States Financial Reporting System: Timeline and Implications. International Business & Economics Research Journal, II (3).

Russell, S. J., & Norvig, P. (2010). Artificial intelligence: a modern approach. Prentice Hall Press.

Saxena, R.: A Conceptual Framework for Assessing the Application of Artificial Intelligence for Financial Reporting. Universal Journal of Accounting and Finance (2022). https://doi.org/10.13189/ujaf.2022.100502CrossRef

Simian, M. M., & Dutescu, A. (2022). Artificial Intelligence solutions for Romanian accounting companies. Sciendo.

Singh, V., Chen, S.-S., Singhania, M., Nanavati, B., Kumar kar, A., & Gupta, A. (2022, 11 2). How are reinforcement learning and deep learning algorithms used for big data-based decision making in financial industries–A review and research agenda. International Journal of Information Management Data Insights, 2(2). doi:https://doi.org/10.1016/j.jjimei.2022.100094

Smith, S. S. (2018). Digitization and Financial Reporting – How Technology Innovation May Drive the Shift toward Continuous Accounting. Accounting and Finance Research, 7(3). Retrieved from https://www.sciedu.ca/journal/index.php/afr/article/view/13762/8626

Van der Heijden, H. (2022). Predicting industry sectors from financial statements: An illustration of machine learning in accounting research. The British Accounting Review, 54(5).

Wieczynska, M.: The “Big” Consequences of IFRS: How and When Does the Adoption of IFRS Benefit Global Accounting Firms? The Accounting Review, 91(4), 1257–1283 (2016). Retrieved 6 3, 2021, from https://aaajournals.org/doi/full/https://doi.org/10.2308/accr-51340

Titel: Navigating the Impact of Artificial Intelligence on International Financial Reporting Standards (IFRS)
verfasst von: Nermin Sharbek
Verlag: Springer Nature Switzerland
Buch: Rethinking Business for Sustainable Leadership in a VUCA World
Print ISBN: 978-3-031-50207-1

Electronic ISBN: 978-3-031-50208-8

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-3-031-50208-8_18

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