Pokaż uproszczony rekord

dc.contributor.authorKalinowski, Jacek
dc.contributor.authorKalinowski, Piotr
dc.date.accessioned2025-11-28T08:44:36Z
dc.date.available2025-11-28T08:44:36Z
dc.date.issued2025-11-28
dc.identifier.citationKalinowski J., Kalinowski P., Artificial Intelligence in Accounting: What the past and present mean for the future, Wydawnictwo Uniwersytetu Łódzkiego, Lodz 2025, https://doi.org/10.18778/8331-880-6en
dc.identifier.isbn978-83-8331-879-0
dc.identifier.urihttp://hdl.handle.net/11089/56793
dc.description.abstractThe monograph is a guide to the world of AI in accounting. Starting from the Neolithic Revolution, through the Metal Age, up to computers and generative models, the authors lead the reader through the complex world of technology and finance. The aim of this monograph is to analyse how AI and generative models affect accounting, evaluating practical opportunities and risks. The authors outline the history that shaped accounting tools and today's views of new technologies and consider their implications for the profession's future. They also systematize and clarify core AI and generative-model concepts to help practitioners apply them in daily work. The research methods of this work include: a review of the literature, historical analysis, and numerous case studies from practice. The results of the research presented in the monograph include a description of the impact of AI on the technological and behavioral dimensions of accounting processes. The authors explain how the role of accountants is shifting from record-keeping toward expert analysis and advisory functions. However, the effective implementation of AI tools requires appropriate standards that cover the control of processed data and the continuous improvement of accountants’ qualifications. Equally important is the adherence to proper ethical standards in the use of AI in accounting. It should be remembered that AI is a tool that supports humans and enhances the efficiency of their work but does not replace them. A unique feature of the monograph is that it combines historical contexts with practice, distinguishing lasting patterns from temporary innovations, offering examples of ready-made AI solutions in accounting, and providing a synthesis of these issues for practitioners and educators.en
dc.description.abstractMonografia jest przewodnikiem po świecie SI w rachunkowości. Począwszy od czasów Rewolucji Neolitycznej, przez Epokę Metalu, aż po komputery i modele generatywne autorzy prowadzą czytelnika przez złożony świat technologii i finansów. Celem monografii jest analiza tego jak sztuczna inteligencja i modele generatywne wpływają na rachunkowość, oceniając praktyczne szanse i ryzyka. Autorzy śledzą historyczne czynniki, które ukształtowały narzędzia rachunkowości i dzisiejsze postrzeganie nowych technologii oraz rozważają ich konsekwencje dla przyszłości zawodu. Systematyzują i wyjaśniają także kluczowe pojęcia dotyczące sztucznej inteligencji i modeli generatywnych, aby pomóc praktykom stosować je w codziennej pracy. W pracy zastosowano takie metody badawcze jak: przegląd literatury, analiza historyczna i liczne studia przypadków z praktyki. Wynikiem przeprowadzonych w monografii badań jest opis wpływu SI na wymiar technologiczny i behawioralny w procesach rachunkowości. Autorzy objaśniają jak rola księgowych przesuwa się od ewidencji ku analizie eksperckiej i doradztwu. Skuteczne wdrożenia narzędzi AI wymagają jednak odpowiednich standardów obejmujących kontrolę przetwarzanych danych oraz ciągłego podnoszenia kwalifikacji księgowych. Równie istotnym czynnikiem jest także zachowanie właściwych norm etycznych przy wykorzystaniu SI w rachunkowości. Należy pamiętać o tym, że jest to narzędzie, które wspomaga człowieka i zwiększa efektywność jego pracy, ale go nie zastępuje. Unikalną cechą monografii jest to, że łączy uwarunkowania historyczne z praktyką, oddzielając trwałe wzorce od tymczasowych innowacji, oferując przykłady gotowych rozwiązań SI w rachunkowości oraz syntezę tych zagadnień dla praktyków i edukatorów.pl
dc.language.isoen
dc.publisherWydawnictwo Uniwersytetu Łódzkiegopl
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectsztuczna inteligencja w rachunkowościpl
dc.subjectgeneratywna sztuczna inteligencja (GenAI)pl
dc.subjectrobotyzacja procesów (RPA) w rachunkowościpl
dc.subjectuczenie maszynowe (ML) w rachunkowościpl
dc.subjectprzetwarzanie języka naturalnego (NLP) w rachunkowościpl
dc.subjectartificial intelligence in accountingen
dc.subjectgenerative artificial intelligence (GenAI)en
dc.subjectrobotic process automation (RPA) in accountingen
dc.subjectmachine learning (ML) in accountingen
dc.subjectnatural language processing (NLP) in accountingen
dc.titleArtificial Intelligence in Accounting: What the past and present mean for the futureen
dc.title.alternativeArtificial Intelligence in Accounting: What the past and present mean for the futurepl
dc.typeBook
dc.page.number117
dc.contributor.authorAffiliationKalinowski, Jacek - University of Lodz, Faculty of Management, Department of Accountingen
dc.contributor.authorAffiliationKalinowski, Piotr - University of Lodz, Faculty of Management, Department of Accountingen
dc.identifier.eisbn978-83-8331-880-6
dc.referencesAbbas, K. (2025). Management Accounting and Artificial Intelligence: A Comprehensive Literature Review and Recommendations for Future Research. The British Accounting Review, 101551. https://doi.org/10.1016/J.BAR.2025.101551en
dc.referencesABBYY. (2023). ABBYY FlexiCapture 12 Release Notes and Documentation. ABBYY. https://www.abbyy.com/en-us/flexicapture/en
dc.referencesAdamopoulou, E., & Moussiades, L. (2020). Chatbots: History, Technology, and Applications. Machine Learning with Applications, 2, 100006. https://doi.org/10.1016/j.mlwa.2020.100006en
dc.referencesAgassi, J., & Weizenbaum, J. (1976). Computer Power and Human Reason: From Judgment to Calculation. Technology and Culture, 17(4), 813. https://doi.org/10.2307/3103715en
dc.referencesAndreassen, R.-I. (2020). Digital Technology and Changing Roles: A Management Accountant’s Dream or Nightmare? Journal of Management Control, 31(3), 209–238. https://doi.org/10.1007/s00187-020-00303-2en
dc.referencesAnnepaka, Y., & Pakray, P. (2025). Large Language Models: A Survey of Their Development, Capabilities, and Applications. Knowledge and Information Systems, 67(3), 2967– 3022. https://doi.org/10.1007/s10115-024-02310-4en
dc.referencesAnthropic. (2025, May 22). Introducing Claude 4. https://www.anthropic.com/news/claude-4?utm_source=chatgpt.comen
dc.referencesAppelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of Business Analytics and Enterprise Systems on Managerial Accounting. International Journal of Accounting Information Systems, 25, 29–44. https://doi.org/10.1016/J.ACCINF.2017.03.003en
dc.referencesAristotle. (1998). Prior Analytics. Generic NL Freebook Publisher. https://research.ebsco.com/linkprocessor/plink?id=d1466c25-0fdd-3163-8ec2-f187a03db35ben
dc.referencesBank of America. (2024, April 8). BofA’s Erica Surpasses 2 Billion Interactions, Helping 42 Million Clients Since Launch. https://newsroom.bankofamerica.com/content/newsroom/press-releases/2024/04/bofa-s-erica-surpasses-2-billion-interactions--helping-42-millio.htmlen
dc.referencesBennett, N., & Lemoine, G. J. (2014). What VUCA Really Means for You. https://hbr.org/2014/01/what-vuca-really-means-for-youen
dc.referencesBertomeu, J., Cheynel, E., Floyd, E., & Pan, W. (2021). Using Machine Learning to Detect Misstatements. Review of Accounting Studies, 26(2), 468–519. https://doi.org/10.1007/s11142-020-09563-8en
dc.referencesBoard of Governors of the Federal Reserve System. (2007). Report to the Congress on Credit Scoring and Its Effects on the Availability and Affordability of Credit. https://www.federalreserve.gov/boarddocs/rptcongress/creditscore/default.htmen
dc.referencesBrynjolfsson, E., & McAfee, A. (2014). The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies. W. W. Norton & Company. https://research.ebsco.com/linkprocessor/plink?id=eac1c5a4-b034-33a4-b396-b03e3795b75fen
dc.referencesBuchanan, B. G. (2005). A (Very) Brief History of Artificial Intelligence. AI Magazine, 26(4), 53. https://doi.org/10.1609/aimag.v26i4.1848en
dc.referencesCajori, F. (1893). A History of Mathematics. www.gutenberg.orgen
dc.referencesCalderon, T. G., Gao, L., & Cardoso, R. L. (2023). Generative Artificial Intelligence in the Classroom: A Financial Accounting Experience. In Advances in Accounting Education: Teaching and Curriculum Innovations, 125–144. Emerald Publishing Limited. https://doi.org/10.1108/s1085-462220230000027006en
dc.referencesCampbell, M., Hoane, A. J., & Hsu, F. H. (2002). Deep Blue. Artificial Intelligence, 134(1–2), 57–83. https://doi.org/10.1016/S0004-3702(01)00129-1en
dc.referencesCampbell-Kelly, M., Aspray, W., Ensmenger, N., & Yost, J. R. (2018). Computer. A History of the Information Machine. Routledge. https://doi.org/10.4324/9780429495373en
dc.referencesCeruzzi, P. E. (2003). A History of Modern Computing. MIT Press.en
dc.referencesCleverboat. (2025). Cleverbot.com – A Clever Bot – Speak to an AI with Some Actual Intelligence? https://www.cleverbot.com/en
dc.referencesCognizant. (2020). Global Manufacturer Streamlines Accounts Payable with RPA. Cognizant Technology Solutions. https://www.cognizant.comen
dc.referencesColby, K. M., Hilf, F. D., Weber, S., & Kraemer, H. C. (1972). Turing-like Indistinguishability Tests for the Validation of a Computer Simulation of Paranoid Processes. Artificial Intelligence, 3(C), 199–221. https://doi.org/10.1016/0004-3702(72)90049-5en
dc.referencesColby, K. M., Weber, S., & Hilf, F. D. (1971). Artificial Paranoia. Artificial Intelligence, 2. Colombo, V. L. B., & Beuren, I. M. (2023). Accountants Robots in Shared Service Centers:en
dc.referencesEffects of the Culture for Innovation, Work Engagement and Performance Measurement System. Journal of Business & Industrial Marketing, 38(12), 2760–2771. https://doi.org/10.1108/JBIM-09-2022-0436en
dc.referencesCosta, P. (2018). Conversing with Personal Digital Assistants: On Gender and Artificial Intelligence. Journal of Science and Technology of the Arts, 10(3 Special Issue), 59–72. https://doi.org/10.7559/citarj.v10i3.563en
dc.referencesDechow, N., Granlund, M., & Mouritsen, J. (2006). Management Control of the Complex Organization: Relationships between Management Accounting and Information Technology. Handbooks of Management Accounting Research, 2, 625–640. https://doi.org/10.1016/S1751-3243(06)02007-4en
dc.referencesDigitalDefynd Team. (2025). 15 Financial Analytics Case Studies [2025] – DigitalDefynd. https://digitaldefynd.com/IQ/financial-analytics-case-studies/en
dc.referencesDwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., Galanos, V., Ilavarasan, P. V., Janssen, M., Jones, P., Kar, A. K., Kizgin, H., Kronemann, B., Lal, B., Lucini, B., … Williams, M. D. (2021). Artificial Intelligence (AI): Multidisciplinary Perspectives on Emerging Challenges, Opportunities, and Agenda for Research, Practice and Policy. International Journal of Information Management, 57, 101994. https://doi.org/10.1016/J.IJINFOMGT.2019.08.002en
dc.referencesEncyclopædia Britannica. (2025). William Seward Burroughs | Biography, Adding Machine, & Facts. https://www.britannica.com/biography/William-Seward-Burroughsen
dc.referencesGoodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020). Generative Adversarial Networks. Communications of the ACM, 63(11), 139–144. https://doi.org/10.1145/3422622en
dc.referencesGranlund, M. (2011). Extending AIS Research to Management Accounting and Control Issues: A Research Note. International Journal of Accounting Information Systems, 12(1), 3–19. https://doi.org/10.1016/J.ACCINF.2010.11.001en
dc.referencesGranlund, M., & Mouritsen, J. (2003). Special Section on Management Control and New Information Technologies. European Accounting Review, 12(1), 77–83. https://doi.org/10.1080/0963818031000087925en
dc.referencesGreenman, C., Esplin, D., Johnston, R., & Richards, J. (2024). An Analysis of the Impact of Artificial Intelligence on the Accounting Profession. Journal of Accounting, Ethics & Public Policy (JAEPP), 25(2), 188–203. https://doi.org/10.60154/jaepp.2024.v25n2p188en
dc.referencesGrewal, D. S. (2014). A Critical Conceptual Analysis of Definitions of Artificial Intelligence as Applicable to Computer Engineering. IOSR Journal of Computer Engineering (IOSRJCE), 16(2), Ver. 1 (Mar–Apr.), 9–13. https://doi.org/10.9790/0661-16210913en
dc.referencesHamdan, A., Hassanien, A. E., Razzaque, A., & Alareeni, B. (Eds.) (2021). The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success. Springer. https://doi.org/10.1007/978-3-030-62796-6en
dc.referencesHasan, A. R. (2022). Artificial Intelligence (AI) in Accounting&Auditing: A Literature Review. Open Journal of Business and Management, 10(01), 440–465. https://doi.org/10.4236/ojbm.2022.101026en
dc.referencesHeiser, J. F., Colby, K. M., Faught, W. S., & Parkison, R. C. (1979). Can Psychiatrists Distinguish a Computer Simulation of Paranoia from the Real Thing?: The Limitations of Turing-Like Tests as Measures of the Adequacy of Simulations. Journal of Psychiatric Research, 15(3), 149–162. https://doi.org/10.1016/0022-3956(79)90008-6en
dc.referencesHemati, H., Schreyer, M., & Borth, D. (2021). Continual Learning for Unsupervised Anomaly Detection in Continuous Auditing of Financial Accounting Data. https://research.ebsco.com/linkprocessor/plink?id=96dfdfd2-5285-3c19-9a24-4532aeab7acben
dc.referencesHenderson, P. (2025). Tipalti – ERP Q&A. https://tipalti.com/blog/erp-qa-with-paul-henderson-elvis-nti/en
dc.referencesHendler, J. (2008). Avoiding Another AI Winter. IEEE Intelligent Systems, 23(2), 2–4. https://doi.org/10.1109/MIS.2008.20en
dc.referencesHinton, G. E., Osindero, S., & Teh, Y.-W. (2006). A Fast Learning Algorithm for Deep Belief Nets. Neural Computation, 18(7), 1527–1554. https://doi.org/10.1162/neco.2006.18.7.1527en
dc.referencesHochreiter, S., & Schmidhuber, J. (1997). Long Short-Term Memory. Neural Computation, 9(8), 1735–1780. https://doi.org/10.1162/neco.1997.9.8.1735en
dc.referencesHomerus (2019). Iliad (Ed. R. B. Rutherford). Cambridge University Press. https://research.ebsco.com/linkprocessor/plink?id=693c0794-4752-309f-95b1-530a06938ffcen
dc.referencesHonko, S., & Hendryk, M. (2024). The Role of AI in Accounting: Insights From Practitioners. European Research Studies Journal, XXVII(2), 989–1003. https://doi.org/10.35808/ersj/3863en
dc.referencesImpact Insights. (2023, August 9). Top 5 Robotic Process Automation Case Studies. https://www.impactmybiz.com/blog/5-robotic-process-automation-case-studies/en
dc.referencesJarrahi, M. H. (2018). Artificial Intelligence and the Future of Work: Human-AI Symbiosis in Organizational Decision Making. Business Horizons, 61(4), 577–586. https://doi.org/10.1016/j.bushor.2018.03.007en
dc.referencesJędrzejka, D. (2019). Robotic Process Automation and Its Impact on Accounting. Zeszyty Teoretyczne Rachunkowości, 24(161), 137–166. https://doi.org/10.5604/01.3001.0013.6061en
dc.referencesJumper, J., Evans, R., Pritzel, A., Green, T., Figurnov, M., Ronneberger, O., Tunyasuvunakool, K., Bates, R., Žídek, A., Potapenko, A., Bridgland, A., Meyer, C., Kohl, S. A. A., Ballard, A. J., Cowie, A., Romera-Paredes, B., Nikolov, S., Jain, R., Adler, J., … Hassabis, D. (2021). Highly Accurate Protein Structure Prediction with AlphaFold. Nature, 596(7873), 583–589. https://doi.org/10.1038/s41586-021-03819-2en
dc.referencesKaplan, A., & Haenlein, M. (2019). Siri, Siri, in My Hand: Who’s the Fairest in the Land? On the Interpretations, Illustrations, and Implications of Artificial Intelligence. Business Horizons, 62(1), 15–25. https://doi.org/10.1016/J.BUSHOR.2018.08.004en
dc.referencesKaramatova, L. (2017). Management Accounting and ERP Systems. Factors behind the Choice of Information Systems when Exercising Management Accounting. https://www.diva-portal.org/smash/get/diva2:1107616/FULLTEXT01.pdf#page=2.11en
dc.referencesKofax, Inc. (2022). Kofax ReadSoft Online Technical Documentation. Kofax. https://www.kofax.com/Products/readsoft-onlineen
dc.referencesKPMG. (2024a). AI in Financial Reporting and Audit: Navigating the New Era – Global Survey Results. KPMG International. https://kpmg.com/NavigatingAIinAuditen
dc.referencesKPMG. (2024b). AI in Financial Reporting and Audit: Navigating the New Era – US Survey Results. KPMG LLP. https://kpmg.com/us/en/articles/2023/ai-and-financial-reporting-survey.htmlen
dc.referencesKuźniacki, B., Almada, M., Tyliński, K., Górski, Ł., Winogradska, B., & Zeldenrust, R. (2022). Towards eXplainable Artificial Intelligence (XAI) in Tax Law: The Need for a Minimum Legal Standard. World Tax Journal, 14. https://doi.org/10.59403/2yhh9paen
dc.referencesLeCun, Y., Boser, B., Denker, J. S., Henderson, D., Howard, R. E., Hubbard, W., & Jackel, L. D. (1989). Backpropagation Applied to Handwritten Zip Code Recognition. Neural Computation, 1(4), 541–551. https://doi.org/10.1162/neco.1989.1.4.541en
dc.referencesLighthill, J., Sutherland, S., Needham, R., Longuet-Higgins, H. C., & Michie, D. (1998). Lighthill Report: Artificial Intelligence: A Paper Symposium. http://www.chilton-computing.org.uk/inf/literature/reports/lighthill_report/contents.htmhttp://www.aiai.ed.ac.uk/events/lighthill1973/en
dc.referencesLipton, Z. C. (2016). The Mythos of Model Interpretability. http://arxiv.org/abs/1606.03490en
dc.referencesMastercard. (2024, May 22). Mastercard Accelerates Card Fraud Detection with Generative AI Technology. https://www.mastercard.com/us/en/news-and-trends/press/2024/may/mastercard-accelerates-card-fraud-detection-with-generative-ai-technology.htmlen
dc.referencesMayor, A. (2018). Gods and Robots: Myths, Machines, and Ancient Dreams of Technology. Princeton University Press. https://research.ebsco.com/linkprocessor/plink?id=d771d60c-7c35-3292-8f1a-7a64b90368feen
dc.referencesMcCarthy, J. (2007). What is Artificial Intelligence? Unpublished manuscript. http://www-formal.stanford.edu/jmc/en
dc.referencesMcCorduck, P. (2004). Machines Who Think. A K Peters/CRC Press. https://doi.org/10.1201/9780429258985en
dc.referencesMcCulloch, W. S., & Pitts, W. (1943). A Logical Calculus of The Ideas Immanent in Nervous Activity. Bulletin of Mathematical Biology, 52(2).en
dc.referencesMinsky, M., & Papert, S. A. (2017). Perceptrons. MIT Press. https://doi.org/10.7551/mitpress/11301.001.0001en
dc.referencesMoll, J., & Yigitbasioglu, O. (2019). The Role of Internet-Related Technologies in Shaping the Work of Accountants: New Directions for Accounting Research. The British Accounting Review, 51(6). https://doi.org/10.1016/j.bar.2019.04.002en
dc.referencesMura, R. (1995). Images of Mathematics Held by University Teachers of Mathematics Education. Educational Studies in Mathematics, 28(4), 385–399. https://doi.org/10.1007/BF01274080en
dc.referencesNilsson, N. J. (2010). The Quest for Artificial Intelligence: A History of Ideas and Achievements. Cambridge University Press.en
dc.referencesNoto, G. (2023). Deloitte Brings GenAI to Audit, Accounting Professionals with New Bot. CFO Dive. https://www.cfodive.com/news/deloitte-brings-genai-internal-audit-accounting-professionals/699354/en
dc.referencesOdonkor, B., Kaggwa, S., Uwaoma, P. U., Hassan, A. O., & Farayola, O. A. (2024). The Impact of AI on Accounting Practices: A Review: Exploring How Artificial Intelligence Is Transforming Traditional Accounting Methods and Financial Reporting. World Journal of Advanced Research and Reviews, 21, 172–188. https://doi.org/10.30574/wjarr.2024.21.1.2721en
dc.referencesOECD. (2020). Tax Administration 3.0: The Digital Transformation of Tax Administration. https://doi.org/10.1787/CA274CC5-ENen
dc.referencesOECD. (2021). Tax Administration 2021. https://doi.org/10.1787/CEF472B9-ENen
dc.referencesOzkaya, I. (2020). What Is Really Different in Engineering AI-Enabled Systems? IEEE Software, 37(4), 3–6. https://doi.org/10.1109/MS.2020.2993662en
dc.referencesPearl, J. (1988). Probabilistic Reasoning in Intelligent Systems: Networks of Plausible Inference. Morgan Kaufmann Publishers Inc.en
dc.referencesPeng, Y., Ahmad, S. F., Ahmad, A. Y. A. B., Al Shaikh, M. S., Daoud, M. K., & Alhamdi, F. M. H. (2023). Riding the Waves of Artificial Intelligence in Advancing Accounting and Its Implications for Sustainable Development Goals. Sustainability, 15, 14165. https://doi.org/10.3390/su151914165en
dc.referencesPhua, C., Lee, V., Smith, K., & Gayler, R. (2010). A Comprehensive Survey of Data Mining-Based Fraud Detection Research. Artificial Intelligence Review. https://arxiv.org/abs/1009.6119en
dc.referencesPingili, R. (2025). AI-Driven Intelligent Document Processing for Banking and Finance. International Journal of Management & Entrepreneurship Research, 7(2), 98–109. https://doi.org/10.51594/ijmer.v7i2.1802en
dc.referencesPlato. (2013). The Republic (Ed. C. D. C. Reeve). Hackett Publishing Company. https://archive.org/details/republic0000plat_k3m1en
dc.referencesPriceWaterhouseCoopers. (2022). Automating Data Extraction with AI. PwC Global. https://www.pwc.com/gx/en/issues/artificial-intelligence/publications/ai-automation-data-extraction.htmlen
dc.referencesRich, E., Knight, K., & Nair B, S. (1991). Artificial Intelligence (3rd ed.). McGraw-Hill. Richins, G., Stapleton, A., Stratopoulos, T. C., & Wong, C. (2017). Big Data Analytics: Opportunity or Threat for the Accounting Profession? Journal of Information Systems, 31(3), 63–79. https://doi.org/10.2308/isys-51805en
dc.referencesRosenblatt, F. (1962). Principles of Neurodynamics: Perceptrons and the Theory of Brain Mechanisms. https://archive.org/details/principles-of-neurodynamics/page/n7/mode/2upen
dc.referencesRossum. (2023). Rossum Product Overview & Technical Whitepaper. Rossum Ltd. https:// rossum.ai/product/en
dc.referencesRumelhart, D. E., Hinton, G. E., & Williams, R. J. (1986). Learning Representations by Back-Propagating Errors. Nature, 323(6088), 533–536. https://doi.org/10.1038/323533a0en
dc.referencesRussell, S., & Norvig, P. (2021). Artificial Intelligence. A Modern Approach. Fourth Edition Global Edition. Pearson.en
dc.referencesSantayana, G. (1927). The Life of Reason: Or, The Phases of Human Progress (Vol. 2). Charles Scribner’s Sons. https://babel.hathitrust.org/cgi/pt?id=osu.32435028551414&seq=6en
dc.referencesScapens, R. W., & Jazayeri, M. (2003). ERP Systems and Management Accounting Change: Opportunities or Impacts? A Research Note. European Accounting Review, 12(1), 201– 233. https://doi.org/10.1080/0963818031000087907en
dc.referencesSchreyer, M., Sattarov, T., Borth, D., Dengel, A., & Reimer, B. (2017). Detection of Anomalies in Large Scale Accounting Data using Deep Autoencoder Networks. https://arxiv.org/abs/1709.05254en
dc.referencesSighn, M. P. (2023). (17) EY’s AI finds audit frauds. LinkedIn. https://www.linkedin.com/news/story/eys-ai-finds-audit-frauds-5567297/en
dc.referencesStancheva-Todorova, E., & Bogdanova, B. (2021). Enhancing Investors’ Decision-Making – An Interdisciplinary AI-Based Case Study for Accounting Students. In AIP Conference Proceedings. AIP Publishing. https://doi.org/10.1063/5.0041612en
dc.referencesSugden, K. E. (1981). History of the Abacus. Accounting Historians Journal, 8(2), 1–22. https://egrove.olemiss.edu/aah_journal/vol8/iss2/1en
dc.referencesTater, T., Gantayat, N., Dechu, S., Jagirdar, H., Rawat, H., Guptha, M., Gupta, S., Strąk, Ł., Kiran, S., & Narayanan, S. (2022). AI Driven Accounts Payable Transformation. Proceedings of the AAAI Conference on Artificial Intelligence, 36, 12405–12413. https://doi.org/10.1609/aaai.v36i11.21506en
dc.referencesTuring, A. M. (1950). Computing Machinery and Intelligence. Mind, New Series, 59(236). http://www.jstor.org/stable/2251299en
dc.referencesUnilever. (2025). Leading the Next Era of Corporate Sustainability. https://www.unilever.com/sustainability/en
dc.referencesThe Washington Post. (2024, March 4). TurboTax and H&R Block’s AI Chatbots Are Giving Bad Tax Advice. https://www.washingtonpost.com/technology/2024/03/04/ai-taxes-turbotax-hrblock-chatbot/en
dc.referencesWright, D., & Schaefer, G. (2022). Automation with Intelligence: Seventh Global Intelligent Automation Survey. Deloitte Insights. https://www2.deloitte.com/uk/en/pages/consulting/topics/robotic-and-intelligent-automation.htmlen
dc.referencesXu, A., Liu, Z., Guo, Y., Sinha, V., & Akkiraju, R. (2017). A New Chatbot for Customer Service on Social Media. Conference on Human Factors in Computing Systems – Proceedings, 2017 May, 3506–3510. https://doi.org/10.1145/3025453.3025496en
dc.referencesYi, Z., Cao, X., Chen, Z., & Li, S. (2023). Artificial Intelligence in Accounting and Finance: Challenges and Opportunities. IEEE Access, 11, 129100–129123. https://doi.org/10.1109/ACCESS.2023.3333389en
dc.identifier.doi10.18778/8331-880-6


Pliki tej pozycji

Thumbnail

Pozycja umieszczona jest w następujących kolekcjach

Pokaż uproszczony rekord

http://creativecommons.org/licenses/by-nc-nd/4.0/
Poza zaznaczonymi wyjątkami, licencja tej pozycji opisana jest jako http://creativecommons.org/licenses/by-nc-nd/4.0/