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Chatgpt In Finance: Exploring Practical Uses, Emerging Challenges, and Mitigation Strategies Sulaiman Taiwo Hassan; Abalaka, James Nda; Abdullahi Ya'u Usman
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.214

The advent of ChatGPT, a generative AI technology, has initiated significant transformation within the finance sector by allowing users to engage with digital systems using natural language. Despite its promising capabilities, integrating ChatGPT into financial operations introduces a host of ethical concerns that must be rigorously addressed to ensure its appropriate and conscientious use. This policy-focused article begins with a brief overview of ChatGPT’s utility in financial contexts and then examines the ethical dilemmas it raises. These include biased decision-making outputs, the risk of misinformation influencing financial outcomes, data privacy and security vulnerabilities, opacity in algorithmic processes, the displacement of human workers, and complex legal implications. We argue that financial entities adopting ChatGPT have a responsibility to develop and implement comprehensive strategies aimed at mitigating these ethical risks. In support of this goal, we outline policy recommendations designed to directly address these pressing issues. Ultimately, this article emphasizes the urgent need for a robust ethical framework to guide the deployment of ChatGPT in financial environments, ensuring that its implementation benefits both individuals and society. Furthermore, we highlight key areas for future research that can support ongoing efforts to integrate AI responsibly in finance.

Artificial Intelligence and Its Implications For The Future Of Accounting Practice: A Comprehensive Review Abdulrahman Abdulganiyu; Sulaiman Taiwo Hassan; Abdullahi Ya'u Usman; Abalaka, James Nda
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.215

The accounting profession is undergoing significant transformation due to the advancements and integration of Artificial Intelligence (AI), which offers opportunities to enhance and restructure various accounting tasks. A crucial factor in this shift is the ability of accountants to rapidly adjust to these changes by developing the essential skills and knowledge required to effectively collaborate with AI technologies, while also addressing concerns about job security. This study aims to explore the influence of Artificial Intelligence on accounting by conducting a systematic review of existing literature. Results indicate that although current accounting practices incorporate technology to streamline processes and boost efficiency, there is concern that limited AI proficiency may reduce job prospects for accountants. This research contributes valuable insights into the challenges and potential advantages AI poses for the profession. It also emphasizes the need for proactive measures to equip future accountants for an AI-driven work environment.

Role Of Artificial Intelligence In Accounting: A Quantitative Economic Analysis Of Nigeria Financial Markets’ Future Abdullahi Ya'u Usman; Abalaka, James Nda; Sulaiman Taiwo Hassan
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.216

In today’s fast-evolving technological landscape, this study examines the profound integration of Artificial Intelligence (AI) into accounting and its far-reaching effects on the future of Nigeria financial markets. The incorporation of AI represents a fundamental shift in accounting, moving beyond conventional practices and ushering in unprecedented efficiency and advanced analytical capabilities. This transformation is instrumental in redefining accounting standards and influencing the broader economic dynamics of the financial sector. This paper aims to analyze the complex role of AI in accounting, evaluating its benefits, obstacles, and long-term potential. By connecting technological advancements with real-world accounting applications, the study provides an in-depth exploration of how AI is revolutionizing financial processes, its economic impact on Nigeria markets, and the balance between its advantages and inherent challenges. Additionally, the research proposes actionable strategies for optimizing AI adoption in accounting. The findings highlight that AI integration marks a critical advancement in accounting, improving precision, productivity, and strategic decision-making. Nevertheless, it also introduces hurdles such as workforce reskilling and ethical dilemmas. To address these challenges, the study recommends educational enhancements, policy adjustments, and cross-disciplinary cooperation to maximize AI’s potential in accounting. As a foundational contribution, this paper presents a compelling discussion on AI’s transformative role in accounting and its wider economic consequences, paving the way for future research and practical applications.

Can Artificial Intelligence Generate Convincing Accounting Research Articles? An Empirical Investigation Abalaka, James Nda; Sulaiman Taiwo Hassan; Abdullahi Ya'u Usman
Systematic Literature Review Journal Vol. 1 No. 3 (2025): July : Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i3.218

This study investigates whether artificial intelligence (AI) can generate credible accounting research articles. If AI is capable of producing high-quality academic work, the authenticity and reliability of scholarly research could be at risk. Design/methodology/approach – Using ChatGPT, a research paper was generated on a meta-analysis examining the link between sustainability reporting and value relevance. After the initial draft was produced, references were manually inserted based on the citations provided by ChatGPT. The paper was then submitted unchanged for peer review. Findings – The AI-generated paper was of reasonably high quality, receiving two major revisions from independent experts in accounting and finance. While concerns remain about the accuracy of references and the validity of results, there is a possibility that reviewers might deem the paper publishable, as they are not obligated to verify every citation or replicate findings if the methodology appears sound. Originality/value – AI’s role in academic writing is still emerging, and its long-term implications for research integrity remain unclear. This issue is particularly pressing given the rapid advancements in AI technology.

The Impact of Artificial Intelligence on the Accounting Profession : A Conceptual Analysis at OAGF Abalaka James Nda; Sulaiman Taiwo Hassan; Abdullahi Ya'u Usman
Systematic Literature Review Journal Vol. 1 No. 4 (2025): October: Systematic Literature Review Journal
Publisher : International Forum of Researchers and Lecturers

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70062/slrj.v1i4.226

This paper explores the transformative influence of artificial intelligence (AI) on the accounting profession, particularly within the Accountant General of the Federation (OAGF). The research investigates how AI-driven innovations are reshaping traditional accounting practices and redefining the role of accountants. By conducting a systematic literature review, this study identifies three primary dimensions of AI’s impact: the automation of repetitive tasks such as data entry, transaction processing, and reconciliation; enhanced data analytics capabilities, which include predictive modeling and real-time decision support; and the evolution of accountants' roles toward more strategic and value-added activities, such as financial advisory and risk management. The automation of routine processes through AI allows accountants to focus on higher-level tasks that require judgment, creativity, and expertise, ultimately enhancing the overall efficiency of the accounting function. Furthermore, AI’s advanced data analytics tools provide more accurate insights, enabling accountants to offer more effective financial guidance and make more informed decisions. As AI reduces the time spent on manual processes, accounting professionals can improve their role in advising on business strategy, improving risk management, and identifying new growth opportunities. The study’s findings underscore the importance of embracing AI in the accounting profession, not only to improve operational efficiency, reduce costs, and scale operations but also to enable accountants to stay competitive in a rapidly evolving technological landscape. The paper concludes by emphasizing that adopting AI is essential for accountants to remain relevant and continue providing valuable contributions to their organizations. Future research should focus on the long-term implications of AI on accounting ethics and the development of necessary skills for accounting professionals to thrive in the age of AI.

A Review of the Impact of Artificial Intelligence on Traditional Accounting Practices and Financial Reporting Abdullahi Ya'u Usman; Sulaiman Taiwo Hassan; Abalaka James Nda; Yusuf Adeyanju Yisau
International Journal of Science and Society (IJSS) Vol. 1 No. 1 (2025): June
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/ijss.v1.i1.1

This study investigates the transformative effects of Artificial Intelligence (AI) on conventional accounting practices, focusing on its influence in reshaping financial reporting, auditing, and decision-making frameworks. Positioned within the context of rapid technological progression, the research traces the shift from traditional, manual accounting processes to advanced AI-enabled systems. The objective is to critically evaluate how AI adoption is redefining the accounting profession, identifying both the opportunities it offers and the challenges it poses. A systematic literature review and bibliometric analysis were conducted, drawing from peer-reviewed journals, case studies, and industry publications from the past ten years. This comprehensive methodology facilitates a deep understanding of AI’s role in accounting, particularly in enhancing accuracy, efficiency, and strategic capabilities within the field. Results indicate that AI significantly boosts the precision and speed of financial operations by automating repetitive tasks and providing predictive insights for more informed decision-making. Nonetheless, the implementation of AI faces several obstacles, including the demand for technically skilled professionals, concerns surrounding data security, high implementation costs, and organizational resistance to change. The study concludes by advocating for a measured and strategic approach to AI integration. Emphasis is placed on continuous professional development, ethical considerations, and adherence to regulatory standards. While the transition presents challenges, the potential of AI to transform accounting practices and drive innovation in the digital age is substantial.

Harnessing Topic Modeling to Investigate the Intersection of Accounting and Artificial Intelligence through Systematic Literature Mapping Ahmed Abubakar Zik-Rullahi; Abdullahi Ya'u Usman; Sulaiman Taiwo Hassan
International Journal of Science and Society (IJSS) Vol. 1 No. 1 (2025): June
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/ijss.v1.i1.2

Previous research has often suggested that various accounting functions could be replaced by Artificial Intelligence (AI) and related technologies. However, more recent studies increasingly recognize AI's potential to enhance value within accounting practices and organizations. Scholars and experts have called for more extensive research into the relationship between accounting and AI, emphasizing the importance of adopting a multidisciplinary approach in this field. This paper employs topic modeling, specifically Latent Dirichlet Allocation (LDA), to systematically analyze the existing literature on AI and associated technologies within accounting. By applying LDA to the abstracts of 930 peer-reviewed articles from diverse academic fields published between 1990 and 2023, the study identifies key themes and trends in the discourse around accounting and AI. The results indicate that previous literature reviews using conventional methods may have overlooked important aspects of this rapidly evolving area. The analysis reveals eleven distinct topic clusters that together form a detailed map of the current research landscape. These findings not only broaden understanding of accounting and AI scholarship but also offer a structured framework for guiding future investigations. Additionally, this research represents one of the pioneering uses of probabilistic topic modeling techniques within the accounting literature.

A Systematic Review of the Impact of Technological Advancements on Modern Accounting Practices Sulaiman Taiwo Hassan; Abdullahi Ya'u Usman
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.1

With the emergence of Industry 4.0, advanced technologies such as artificial intelligence (AI), data analytics, and automation have profoundly transformed the field of accounting. This paper presents a systematic review of recent literature to investigate the evolving landscape of accounting practices influenced by these technological advancements. The study emphasizes the impact of information technology and data analytics on accounting processes and managerial decision-making. Employing a rigorous systematic literature review methodology, relevant academic sources and premier journals were examined under strict inclusion and exclusion criteria. Findings reveal a notable rise in the integration of IT and data analytics within the accounting profession, alongside challenges related to implementation, including the necessity for specialized training and organizational adaptability. The paper concludes by advocating for the creation of comprehensive training programs to support accounting professionals in navigating technological transitions. This review aims to enhance the understanding of current trends in accounting and to guide future research directions in this evolving domain.

Comprehensive Review on Artificial Intelligence Techniques for Financial Forecasting and Their Applications in Stock Market Analysis Sulaiman Taiwo Hassan; Yusuf Adeyanju Yisau; Abalaka James Nda; Abdullahi Ya'u Usman
Multicore International Journal of Multidisciplinary (MIJM) Vol. 1 No. 1 (2025): May
Publisher : Marasofi International Media and Publishing (MIMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64123/mijm.v1.i1.4

The methodology involves a systematic review of scholarly literature, concentrating on peer-reviewed studies that discuss the efficacy, obstacles, and future directions of AI in stock market forecasting. Results indicate that AI holds significant promise for improving market efficiency and enhancing the understanding of price volatility. Nonetheless, issues such as data integrity, transparency of AI models, and the demand for comprehensive regulatory oversight remain critical concerns. The conclusions emphasize AI’s transformative capacity to process large-scale datasets and forecast market behavior with greater precision. At the same time, the research acknowledges current AI limitations and advocates for a hybrid approach that integrates AI with traditional forecasting techniques and ongoing algorithmic improvements. Recommendations stress the importance of interdisciplinary collaboration among AI developers, ethical scholars, and financial professionals to create AI systems that are transparent, ethically responsible, and operationally effective. Overall, this paper provides an extensive overview of AI’s impact on financial forecasting, offering valuable insights for future research. It highlights both the substantial opportunities and complex challenges AI introduces to stock market analysis, marking a significant step toward more data-driven decision-making in finance.

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