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| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing Mariarita Pierotti, Anna Monreale, Federica De Santis, 2024-10-22 This book investigates the phenomenon of artificial intelligence (AI) in the accounting world. It integrates accounting competencies with specific competencies in AI and other digital technologies and offers an interdisciplinary perspective. First, the authors review and discuss the literature to summarize and systematize extant research on digitalization in accounting. Second, case studies are included to illustrate the potential impact of AI in business contexts in terms of opportunities and challenges. Based on these, the book explores how digitalization is influencing the accounting practice and what the most important avenues are for future research on digitalization in accounting, and will be of interest to researchers, students, and practitioners of financial technology, accounting, and risk management. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing , 2002 |
| artificial intelligence in accounting and auditing: Artificial Intelligence for Audit, Forensic Accounting, and Valuation Al Naqvi, 2020-08-25 Strategically integrate AI into your organization to compete in the tech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform accounting and auditing professions, yet its current application within these areas is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation accounting. Artificial Intelligence for Audit, Forensic Accounting, and Valuation provides a strategic viewpoint on how AI can be comprehensively integrated within audit management, leading to better automated models, forensic accounting, and beyond. No other book on the market takes such a wide-ranging approach to using AI in audit and accounting. With this guide, you’ll be able to build an innovative, automated accounting strategy, using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for audit and accounting firms. With better AI comes better results. If you aren’t integrating AI and automation in the strategic DNA of your business, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of integrated, automated audit and accounting services Learn how to build AI into your organization to remain competitive in the era of automation Go beyond siloed AI implementations to modernize and deliver results across the organization Understand and overcome the governance and leadership challenges inherent in AI strategy Accounting and auditing firms need a comprehensive framework for intelligent, automation-centric modernization. Artificial Intelligence for Audit, Forensic Accounting, and Valuation delivers just that—a plan to evolve legacy firms by building firmwide AI capabilities. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting Othmar M. Lehner, Carina Knoll, 2022-08-05 Artificial intelligence (AI) and Big Data based applications in accounting and auditing have become pervasive in recent years. However, research on the societal implications of the widespread and partly unregulated use of AI and Big Data in several industries remains scarce despite salient and competing utopian and dystopian narratives. This book focuses on the transformation of accounting and auditing based on AI and Big Data. It not only provides a thorough and critical overview of the status-quo and the reports surrounding these technologies, but it also presents a future outlook on the ethical and normative implications concerning opportunities, risks, and limits. The book discusses topics such as future, human-machine collaboration, cybernetic approaches to decision-making, and ethical guidelines for good corporate governance of AI-based algorithms and Big Data in accounting and auditing. It clarifies the issues surrounding the digital transformation in this arena, delineates its boundaries, and highlights the essential issues and debates within and concerning this rapidly developing field. The authors develop a range of analytic approaches to the subject, both appreciative and sceptical, and synthesise new theoretical constructs that make better sense of human-machine collaborations in accounting and auditing. This book offers academics a variety of new research and theory building on digital accounting and auditing from and for accounting and auditing scholars, economists, organisations, and management academics and political and philosophical thinkers. Also, as a landmark work in a new area of current policy interest, it will engage regulators and policy makers, reflective practitioners, and media commentators through its authoritative contributions, editorial framing and discussion, and sector studies and cases. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing Miklos A. Vasarhelyi, |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing Mariarita Pierotti, |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing Miklos A. Vasarhelyi, 1989 The articles in this volume offer an introductory overview of artificial intelligence in accounting and auditing. They seek to provide a logically arranged and usable handbook of artificial intelligence, decision support, and expert systems in accounting and auditing. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing: Creating value with AI Miklos A. Vasarhelyi, 1989 |
| artificial intelligence in accounting and auditing: Artificial Intelligence for Audit, Forensic Accounting, and Valuation Al Naqvi, 2020-07-24 Strategically integrate AI into your organization to compete in the tech era The rise of artificial intelligence is nothing short of a technological revolution. AI is poised to completely transform accounting and auditing professions, yet its current application within these areas is limited and fragmented. Existing AI implementations tend to solve very narrow business issues, rather than serving as a powerful tech framework for next-generation accounting. Artificial Intelligence for Audit, Forensic Accounting, and Valuation provides a strategic viewpoint on how AI can be comprehensively integrated within audit management, leading to better automated models, forensic accounting, and beyond. No other book on the market takes such a wide-ranging approach to using AI in audit and accounting. With this guide, you’ll be able to build an innovative, automated accounting strategy, using artificial intelligence as the cornerstone and foundation. This is a must, because AI is quickly growing to be the single competitive factor for audit and accounting firms. With better AI comes better results. If you aren’t integrating AI and automation in the strategic DNA of your business, you’re at risk of being left behind. See how artificial intelligence can form the cornerstone of integrated, automated audit and accounting services Learn how to build AI into your organization to remain competitive in the era of automation Go beyond siloed AI implementations to modernize and deliver results across the organization Understand and overcome the governance and leadership challenges inherent in AI strategy Accounting and auditing firms need a comprehensive framework for intelligent, automation-centric modernization. Artificial Intelligence for Audit, Forensic Accounting, and Valuation delivers just that—a plan to evolve legacy firms by building firmwide AI capabilities. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting Cory Ng, John Alarcon, 2020-12-08 Artificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability. This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession. This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing: International perspectives Miklos A. Vasarhelyi, 2005 The aim of this volume is to provide an international perspective of the types of artificial intelligence research being undertaken in accounting and finance. It contains a collection of papers which were presented at the 2nd and 3rd International Meetings on Artificial Intelligence in Accounting, Finance and Tax, held in Punta Umbria, Spain, in 1996 and 1997, as mid-year international conferences of the AI/ES Section of the American Accounting Association. Most of the above paradigms, as well as fuzzy logic, intelligent agents, and natural language understanding applications, are represented here. The book is divided into four parts: 1. Introduction 2. Accounting Applications 3. Finance Applications 4. Case-Based Reasoning |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing , 1989 |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing Miklos A. Vasarhelyi, Dan O'Leary, 1989 A study of artificial intelligence and expert systems in accounting, auditing, tax and finance. The essays are divided into five sections on: creating value with expert systems; auditing, internal auditing and tax; finance; financial decision-making issues; and system quality issues. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing Miklos A. Vasarhelyi, 1988 A study of artificial intelligence in accounting and auditing. Topics addressed include: expert systems for audit tasks; REA accounting database evolution; fuzzy logic - treating the uncertainty in expert systems; bankruptcy prediction via a recursive partitioning model; and more. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing: Knowledge representation, accounting applications and the future Miklos A. Vasarhelyi, 1989 A study of artificial intelligence in accounting and auditing, this handbook addresses knowledge representation, accounting applications and the future. Topics covered include: knowledge elicitation and representation; belief nets of Bayesian revisions; accounting applications; and more. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing Miklos A. Vasarhelyi, |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting Cory Ng, John Alarcon, 2020-12-08 Artificial Intelligence in Accounting: Practical Applications was written with a simple goal: to provide accountants with a foundational understanding of AI and its many business and accounting applications. It is meant to serve as a guide for identifying opportunities to implement AI initiatives to increase productivity and profitability. This book will help you answer questions about what AI is and how it is used in the accounting profession today. Offering practical guidance that you can leverage for your organization, this book provides an overview of essential AI concepts and technologies that accountants should know, such as machine learning, deep learning, and natural language processing. It also describes accounting-specific applications of robotic process automation and text mining. Illustrated with case studies and interviews with representatives from global professional services firms, this concise volume makes a significant contribution to examining the intersection of AI and the accounting profession. This innovative book also explores the challenges and ethical considerations of AI. It will be of great interest to accounting practitioners, researchers, educators, and students. |
| artificial intelligence in accounting and auditing: Robo-Auditing Patrick J. D. Taylor, 2018-07-10 As CFO of a large company, you might have considered adding an artificial intelligence system into your financial operations to increase efficiency, boost profits, reduce waste, and detect fraud. Only you're afraid it might be too costly and complicated. Robo-Auditing can ease your fears, providing everything you need to know about this thrilling, cutting edge technology. As an engineer with an MBA, Patrick Taylor is uniquely qualified to demystify A.I. and demonstrate its many benefits. In this extraordinary, must-read handbook, he offers essential guidelines and information to help you: - Understand how A.I. works - Incorporate robo-auditors into existing financial networks - Train your team to use the technology effectively - And more Implementing an A.I. system doesn't have to be difficult, intimidating, or prohibitively expensive, and it can make an enormous difference in your day-to-day operations. Robo-Auditing is your passport into the exciting future of corporate finance. |
| artificial intelligence in accounting and auditing: Handbook of Research on Applied AI for International Business and Marketing Applications Christiansen, Bryan, Škrinjari?, Tihana, 2020-09-25 Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical scholarly publication that provides comprehensive research on artificial intelligence applications within the context of international business. Highlighting a wide range of topics such as diversification, risk management, and artificial intelligence, this book is ideal for marketers, business professionals, academicians, practitioners, researchers, and students. |
| artificial intelligence in accounting and auditing: Blockchain, Artificial Intelligence and Financial Services Sean Stein Smith, 2019-11-15 Blockchain technology and artificial intelligence (AI) have the potential to transform how the accounting and financial services industries engage with the business, stakeholder and consumer communities. Presenting a blend of technical analysis with current and future applications, this book provides professionals with an action plan to embrace and move forward with these new technologies in financial and accounting organizations. It is written in a conversational style that is unbiased and objective, replacing jargon and technical details with real world case examples. |
| artificial intelligence in accounting and auditing: The Big Data-Driven Digital Economy: Artificial and Computational Intelligence Abdalmuttaleb M. A. Musleh Al-Sartawi, 2021-05-28 This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals. |
| artificial intelligence in accounting and auditing: Auditing Ecosystem and Strategic Accounting in the Digital Era Tamer Aksoy, Umit Hacioglu, 2021-06-14 This book examines current topics and trends in strategic auditing, accounting and finance in digital transformation both from a theoretical and practical perspective. It covers areas such as internal control, corporate governance, enterprise risk management, sustainability and competition. The contributors of this volume emphasize how strategic approaches in this area help companies in achieving targets. The contributions illustrate how by providing good governance, reliable financial reporting, and accountability, businesses can win a competitive advantage. It further discusses how new technological developments like artificial intelligence (AI), cybersystems, network technologies, financial mobility and smart applications, will shape the future of accounting and auditing for firms. |
| artificial intelligence in accounting and auditing: Artificial Intelligence and COVID Effect on Accounting Bahaaeddin Alareeni, Allam Hamdan, 2022-06-09 This book considers the effects of COVID-19 on accounting, particularly with regard to the role of artificial intelligence in accounting in the post-pandemic business environment. The contributions in the book consider a variety of sectors that have been affected by the pandemic, such as the stock market, forensic accounting, Bitcoin, as well as the economic and educational responses to the pandemic and the aftermath felt by both developing and developed countries. This book will be a valuable read for academics, students and practitioners of accounting who are keen to explore the future of the field in light of the pandemic. |
| artificial intelligence in accounting and auditing: Technologies, Artificial Intelligence and the Future of Learning Post-COVID-19 Allam Hamdan, Aboul Ella Hassanien, Timothy Mescon, Bahaaeddin Alareeni, 2022-02-17 This book aims to assess the experience of education during COVID-19 pandemic and explore the future of application of technologies and artificial intelligence in education. Education delivery requires the support of new technologies such as artificial intelligence (AI), the Internet of Things (IoT), big data, and machine learning to fight and aspire to new diseases. The academic community and those interested in education agree that education after the corona pandemic will not be the same as before. The book also questions the role of accreditation bodies (e.g., AACSB, etc.) to ensure the effectiveness and efficiency of technology tools in achieving distinguished education in times of crisis. |
| artificial intelligence in accounting and auditing: ChatGPT and AI for Accountants Dr. Scott Dell, Dr. Mfon Akpan, 2024-06-28 Elevate your accounting skills by applying ChatGPT across audit, tax, consulting, and beyond Key Features Leverage the impact of AI on modern accounting, from audits to corporate governance Use ChatGPT to streamline your accounting tasks with practical hands-on techniques Understand the impact of AI in accounting through in-depth chapters covering various domains, including ethical considerations and data analytics Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionIn the fast-paced AI world, accounting professionals are increasingly challenged by the complexities of AI. Many struggle to integrate these advanced tools into their workflows, leading to a sense of overwhelm. ChatGPT for Accounting bridges this gap by not only simplifying AI concepts but also offering practical insights for its application in various accounting domains. This book takes you from the foundational principles of Generative Artificial Intelligence (GAI) to its practical applications in audits, tax planning, practice management, fraud examination, financial analysis, and beyond. Each chapter equips you with essential skills, showing you how AI can revolutionize internal control systems, enhance recruitment processes, streamline marketing plans, optimize tax strategies, and boost efficiency in audits. You’ll then advance to exploring the role of AI in forensic accounting, financial analysis, managerial accounting, and corporate governance, while also addressing ethical and security implications. Concluding with a reflective outlook on the promises and challenges of AI, you’ll gain a holistic view of the future of accounting. By the end of this book, you’ll be equipped with the knowledge to harness the power of AI effectively and ethically, transforming your accounting practice and staying ahead in the ever-evolving landscape.What you will learn Understand the fundamentals of AI and its impact on the accounting sector Grasp how AI streamlines and enhances the auditing process for high accuracy Uncover the potential of AI in simplifying tax processes and ensuring compliance Get to grips with using AI to identify discrepancies and prevent financial fraud Master the art of AI-powered data analytics for informed decision-making Gain insights into seamlessly integrating AI tools within existing accounting systems Stay ahead in the evolving landscape of AI-led accounting tools and practices Who this book is for Whether you're a seasoned accounting professional, a C-suite executive, a business owner, an accounting educator, a student of accounting, or a technology enthusiast, this book provides the knowledge and insights you need to navigate the changing landscape in applying GAI technology to make a difference in all you do. An appreciation and understanding of the accounting process and concepts will be beneficial. |
| artificial intelligence in accounting and auditing: Machine Learning Applications for Accounting Disclosure and Fraud Detection Papadakis, Stylianos, Garefalakis, Alexandros, Lemonakis, Christos, Chimonaki, Christiana, Zopounidis, Constantin, 2020-10-02 The prediction of the valuation of the “quality” of firm accounting disclosure is an emerging economic problem that has not been adequately analyzed in the relevant economic literature. While there are a plethora of machine learning methods and algorithms that have been implemented in recent years in the field of economics that aim at creating predictive models for detecting business failure, only a small amount of literature is provided towards the prediction of the “actual” financial performance of the business activity. Machine Learning Applications for Accounting Disclosure and Fraud Detection is a crucial reference work that uses machine learning techniques in accounting disclosure and identifies methodological aspects revealing the deployment of fraudulent behavior and fraud detection in the corporate environment. The book applies machine learning models to identify “quality” characteristics in corporate accounting disclosure, proposing specific tools for detecting core business fraud characteristics. Covering topics that include data mining; fraud governance, detection, and prevention; and internal auditing, this book is essential for accountants, auditors, managers, fraud detection experts, forensic accountants, financial accountants, IT specialists, corporate finance experts, business analysts, academicians, researchers, and students. |
| artificial intelligence in accounting and auditing: The Fourth Industrial Revolution: Implementation of Artificial Intelligence for Growing Business Success Allam Hamdan, Aboul Ella Hassanien, Anjum Razzaque, Bahaaeddin Alareeni, 2021-04-11 This book focuses on the implementation of AI for growing business, and the book includes research articles and expository papers on the applications of AI on decision-making, health care, smart universities, public sector and digital government, FinTech, and RegTech. Artificial Intelligence (AI) is a vital and a fundamental driver for the Fourth Industrial Revolution (FIR). Its influence is observed at homes, in the businesses and in the public spaces. The embodied best of AI reflects robots which drive our cars, stock our warehouses, monitor our behaviors and warn us of our health, and care for our young children. Some researchers also discussed the role of AI in the current COVID-19 pandemic, whether in the health sector, education, and others. On all of these, the researchers discussed the impact of AI on decision-making in those vital sectors of the economy. |
| artificial intelligence in accounting and auditing: The Essentials of Machine Learning in Finance and Accounting Mohammad Zoynul Abedin, M. Kabir Hassan, Petr Hajek, Mohammed Mohi Uddin, 2021-06-20 This book introduces machine learning in finance and illustrates how we can use computational tools in numerical finance in real-world context. These computational techniques are particularly useful in financial risk management, corporate bankruptcy prediction, stock price prediction, and portfolio management. The book also offers practical and managerial implications of financial and managerial decision support systems and how these systems capture vast amount of financial data. Business risk and uncertainty are two of the toughest challenges in the financial industry. This book will be a useful guide to the use of machine learning in forecasting, modeling, trading, risk management, economics, credit risk, and portfolio management. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing: Knowledge representation, accounting applications and the future Miklos A. Vasarhelyi, 1989 A study of artificial intelligence in accounting and auditing, this handbook addresses knowledge representation, accounting applications and the future. Topics covered include: knowledge elicitation and representation; belief nets of Bayesian revisions; accounting applications; and more. |
| artificial intelligence in accounting and auditing: Digital Transformation in Accounting and Auditing Arif Perdana, |
| artificial intelligence in accounting and auditing: Expert Systems in Accounting Alex Edwards, N. A. D. Connell, 1989 |
| artificial intelligence in accounting and auditing: The Soar Cognitive Architecture John E. Laird, 2019-08-20 The definitive presentation of Soar, one AI's most enduring architectures, offering comprehensive descriptions of fundamental aspects and new components. In development for thirty years, Soar is a general cognitive architecture that integrates knowledge-intensive reasoning, reactive execution, hierarchical reasoning, planning, and learning from experience, with the goal of creating a general computational system that has the same cognitive abilities as humans. In contrast, most AI systems are designed to solve only one type of problem, such as playing chess, searching the Internet, or scheduling aircraft departures. Soar is both a software system for agent development and a theory of what computational structures are necessary to support human-level agents. Over the years, both software system and theory have evolved. This book offers the definitive presentation of Soar from theoretical and practical perspectives, providing comprehensive descriptions of fundamental aspects and new components. The current version of Soar features major extensions, adding reinforcement learning, semantic memory, episodic memory, mental imagery, and an appraisal-based model of emotion. This book describes details of Soar's component memories and processes and offers demonstrations of individual components, components working in combination, and real-world applications. Beyond these functional considerations, the book also proposes requirements for general cognitive architectures and explicitly evaluates how well Soar meets those requirements. |
| artificial intelligence in accounting and auditing: Contemporary Issues in Audit Management and Forensic Accounting Simon Grima, Engin Boztepe, Peter J. Baldacchino, 2020-02-10 In the 18 chapters in this volume of Contemporary Studies in Economic and Financial Analysis, expert contributors gather together to examine the extent and characteristics of forensic accounting, a field which has been practiced for many years, but is still not internationally regulated yet. |
| artificial intelligence in accounting and auditing: Continuous Auditing David Y. Chan, Victoria Chiu, Miklos A. Vasarhelyi, 2018-03-21 Continuous Auditing provides academics and practitioners with a compilation of select continuous auditing design science research, and it provides readers with an understanding of the underlying theoretical concepts of a continuous audit, ideas on how continuous audit can be applied in practice, and what has and has not worked in research. |
| artificial intelligence in accounting and auditing: Artificial Intelligence in Accounting and Auditing: Using expert systems Miklos A. Vasarhelyi, 1989 This handbook is designed to combine academic and practitioner literature on accounting or auditing and computer science or knowledge engineering expert systems. It discusses artificial intelligence, decision support, and expert systems in accounting and auditing. |
| artificial intelligence in accounting and auditing: Robotic Process Automation Christian Czarnecki, Peter Fettke, 2021-05-10 This book brings together experts from research and practice. It includes the design of innovative Robot Process Automation (RPA) concepts, the discussion of related research fields (e.g., Artificial Intelligence, AI), the evaluation of existing software products, and findings from real-life implementation projects. Similar to the substitution of physical work in manufacturing (blue collar automation), Robotic Process Automation tries to substitute intellectual work in office and administration processes with software robots (white-collar automation). The starting point for the development of RPA was the observation that – despite the use of process-oriented enterprise systems (such as ERP, CRM and BPM systems) – additional manual activities are still indispensable today. In the RPA approach, these manual activities are learned and automated by software robots, either by defining rules or by observing manual activities. RPA is related to business process management, machine learning, and artificial intelligence. Tools for RPA originated from dedicated stand-alone software. Today, RPA functionalities are also integrated into elaborated process management suites. From a conceptual perspective, RPA can be structured into input components (sensors in the wide sense), an intelligence center, and output components (actuators in the wide sense). From a strategic perspective, the impact of RPA can be related to the support of existing tasks, the complete substitution of human activities, and the innovation of processes as well as business models. At present, high expectations are related to the use of RPA in the improvement of software-supported business processes. Manual activities are learned and automated by software robots that interact with existing applications via the presentation layer. In combination with artificial intelligence (AI) as well as innovative interfaces (e. g., voice recognition) RPA creates a novel level of automation for office and administration processes. Its benefit potential reaches a return on investment (ROI) up-to 800% that is documented in various case studies. |
| artificial intelligence in accounting and auditing: Powering the Digital Economy: Opportunities and Risks of Artificial Intelligence in Finance El Bachir Boukherouaa, Mr. Ghiath Shabsigh, Khaled AlAjmi, Jose Deodoro, Aquiles Farias, Ebru S Iskender, Mr. Alin T Mirestean, Rangachary Ravikumar, 2021-10-22 This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight. |
| artificial intelligence in accounting and auditing: Information Technology Auditing Jagdish Pathak, 2005-08-15 An evolving agenda of Information Technology Auditing is subject of this book. The author presents various current and future issues in the domain of IT Auditing in both scholarly as well as highly practice-driven manner so as to make those issues clear in the mind of an IT auditor. The aim of the book is not to delve deep on the technologies but the impact of these technologies on practices and procedures of IT auditors. Among the topics are complex integrated information systems, enterprise resource planning, databases, complexities of internal controls, and enterprise application integration - all seen from an auditor's perspective. The book will serve a big purpose of support reference for an auditor dealing with the high-tech environment for the first time, but also for experienced auditors. |
| artificial intelligence in accounting and auditing: Accounting and Corporate Reporting Soner Gokten, 2017-09-20 We have spent a great deal of time on the continued development of accounting and auditing standards, which are used as a primary component of corporate reporting, to reach today's financial reporting framework. However, is it possible to say that, currently, financial statements provide full and prompt disclosure? Or will they still be useful as a primary element with their current structures in corporate reporting? Undoubtedly, we are deeply concerned about these issues in recent times. This volume contains chapters to discuss the today's and tomorrow's accounting and corporate reporting phenomena in a comprehensive and multidimensional way. Therefore, this book is organized into six sections: Achieving Sustainability through Corporate Reporting, International Standardization, Financial Reporting Quality, Accounting Profession and Behavioral Aspects, Public Sector Accounting and Reporting, and Managerial Accounting. |
| artificial intelligence in accounting and auditing: Trustworthy AI Beena Ammanath, 2022-03-15 An essential resource on artificial intelligence ethics for business leaders In Trustworthy AI, award-winning executive Beena Ammanath offers a practical approach for enterprise leaders to manage business risk in a world where AI is everywhere by understanding the qualities of trustworthy AI and the essential considerations for its ethical use within the organization and in the marketplace. The author draws from her extensive experience across different industries and sectors in data, analytics and AI, the latest research and case studies, and the pressing questions and concerns business leaders have about the ethics of AI. Filled with deep insights and actionable steps for enabling trust across the entire AI lifecycle, the book presents: In-depth investigations of the key characteristics of trustworthy AI, including transparency, fairness, reliability, privacy, safety, robustness, and more A close look at the potential pitfalls, challenges, and stakeholder concerns that impact trust in AI application Best practices, mechanisms, and governance considerations for embedding AI ethics in business processes and decision making Written to inform executives, managers, and other business leaders, Trustworthy AI breaks new ground as an essential resource for all organizations using AI. |
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2018) [10]. By proactively addressing these concerns, the auditing profession can leverage the benefits of AI while mitigating potential risks. Auditing in an era of Artificial Intelligence (AI) and …
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Artificial Intelligence Co-Piloted Auditing Hanchi Gu 1, * , Marco Schreyer 1, 2 , Kevin Moffitt 1 , and Miklos A. Vasarhelyi 1 1 Rutgers University, Newark, NJ, USA.
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Aug 23, 2020 · Artificial Intelligence (AI) has profoundly influenced the evolution of the modern ... are similar to those in other accounting fields, like auditing (Munoko et al., 2020). Second, the …
ac 2021 34 - Growing Science
Auditing Artificial intelligence Perceived ease of use Perceived usefulness Audit quality 1. Introduction Audit firms are making significant investments in cutting-edge technological …
Applying Artificial Intelligence in Accounting and Auditing …
Auditing Tasks Artificial intelligence is gradually being integrated into the accounting and auditing information systems of companies. The most common initial step is RPA (Robotic Process …
The Impact of Using Artificial Intelligence on the …
The Impact of Using Artificial Intelligence on the Accounting and Auditing Profession in Light of the Corona Pandemic Abdul Rahman M. S Rashwan (1) Eitedal M. S Alhelou (2) (1) Assistant …
Applying Artificial Intelligence in Accounting and Auditing …
Auditing Tasks Artificial intelligence is gradually being integrated into the accounting and auditing information systems of companies. The most common initial step is RPA (Robotic Process …
Artificial Intelligence Auditing: Embracing the Disruption.
artificial intelligence and machine learning will totally change the way auditors perform their jobs. It has already changed the way audits are conducted today and
The audit revolution: Integrating artificial intelligence in …
Jan 17, 2024 · Some of the roles and impacts of artificial intelligence in accounting include improving productivity and output quality, process automation, data analytics, personal …
Innovations in accounting and auditing: A comprehensive …
In an era characterized by rapid advancements in technology, the traditional practices of accounting and auditing are witnessing a seismic shift. From the integration of artificial …
Extent of artificial intelligence into accounting and …
intelligence into accounting and auditing work – an analytical attempt of job and duties’, Int. J. Business Process Integration and Management , Vol. 10, No. 2, pp.125–136.
Current State and Challenges in the Implementation of Smart …
accounting and auditing through its identified potentials. Particularly the automation of relevant to confront a transformation through Robotic Process Automation (RPA). During the continuous …
C12. creating value with ai - Rutgers University
set of journals and conferences in expert systems and artificial intelligence. A number of accounting, auditing and financial systems are used as a basis of demonstrating various …
The Artificial Intelligence Revolution in Accounting and …
influence of artificial intelligence technology on the field of accounting and auditing studies in Indonesia and compare research results with those abroad. In addition, this research can
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON …
THE IMPACT OF ARTIFICIAL INTELLIGENCE ON ACCOUNTING AND FINANCE: A GLOBAL PERSPECTIVE A leading multibrand smart device company has harnessed AI’s potential to …
Impact of Artificial Intelligence (AI) on Accountancy Profession
Ho: Artificial Intelligence (AI) has no positive impact on the accounting industry. 2.0 LITERATURE REVIEW 2.1 CONCEPTUAL REVIEW John McCarthy coined the name “Artificial Intelligence”. …
Exploring the Opportunities and Obstacles of Implementing …
Artificial Intelligence in Accounting and Auditing Lіudmyla Sakhno 1,*, Yarmila Tkal 2, Dmytro Sushko 3, ... knowledge about their use has led to the fact that AI technologies are still not …
Impact of Using Artificial Intelligence Applications on the …
The use of Artificial Intelligence (AI) applications has had a significant impact on the accounting and auditing profession (Korinek et al., 2021). AI technology has revolutionized the way tasks ...
ACCOUNTING AND AUDITING WITH BLOCK CHAIN …
auditing are brought about by digital technologies led by Big Data analytics, artificial intelligence, blockchain technology, robotic process automation, and others. Maryam Akhajah(2022)The …
International Journal of Data and Network Science
plied by information technology and artificial intelligence to speed up the process of decision-making and improve the quality of audits (Luo et al., 2018; Li & Zheng, 2018; Elliot et al., 2020; …
Exploring the Challenges and Strategies of AI Adoption in …
Artificial Intelligence is slowly changing our life. Not only our life, but many industries have been exposed to AI and it is believed that this will only continue in the near future. This trend is also …
A Small Accounting Firm Must Meet the Challenge Posed by …
of potential costs and benefits of adopting artificial intelligence-based tools. Keywords: Case, Consulting, Artificial intelligence, ChatGPT, Auditing, Accounting Recommended Citation: …
ROBOT HUMAN INTERACTION: ROLE OF ARTIFICIAL …
KEYWORDS: Artificial Intelligence, Accounting, Auditing, Machine Learning. _____ Introduction In Today’s Transforming world, Digitalisation makes the use of technology more fruitful. The idea …
Integration of Artificial Intelligence in Auditing: - DiVA
Consequently, the auditing profession is tuning into this change with the integration of artificial intelligence systems to stay abreast of the transformation. Artificial Intelligence (AI) is a term …
Introduction - accounting.rutgers.edu
Artificial Intelligence In Accounting and Auditing: Volume 4 Vasarhelyi & Kogan is one form of neural networks. The test results are encouraging, and show that self-organizing maps are a …
The Role of Artificial Intelligence in Management …
Artificial intelligence (AI) has increased innovative pressure in several areas (Coles, 1977; Dal Mas et al., 2019). Accounting is no exception and has witnessed numerous disruptions in …
An investigation of artificial intelligence application in …
Fig 1.1: Role of Artificial Intelligence in accounting and auditing (Source: Interpretation from Govil (2020)) The chapter aims to provide an insight into the impact of artificial intelligence on …
Impact of Artificial Intelligence in Auditing - ijrpr.com
Keywords: Artificial Intelligence, Auditing, Impact of AI 1. INTRODUCTION: 1.1 BACKGROUND OF THE TOPIC: The use of computers to perform tasks that would typically require human …
The Ethical Implications of Using Artificial Intelligence in …
The Ethical Implications of Using Artificial Intelligence in Auditing 21 1 analysis, we examine the current use of AI by auditing firms and build on the ethical issues identified in the first step of …
AN EMPIRICAL INVESTIGATION OF THE IMPACT OF …
on the impact of artificial intelligence on accounting practice in Nigeria. The study adopted a survey research design. Data for the ... and knowledge in auditing and other accounting …
Digital transformation and the public sector auditing: The …
(2020); Funkhouser, 2011). Performance auditing traditionally pays much attention to evaluating the effectiveness of a program or a policy (English & Skærbæk, 2007). For instance, in …
Global Approaches to Auditing Artificial Intelligence
Global Approaches to Auditing Artificial Intelligence . 8 forms of societal harms, which is in line with the social-scientific history of audit studies [9], [10]. Auditing AI systems for risk and …
Usage and Impact of Artificial Intelligence on Accounting
involves the accounting service provider, the generalisation of this study may be limited. Keywords: Artificial Intelligence, Accounting, AI, Malaysia, Payable, Qualitative JEL …
Evaluation of Audit Evidence Quality in Public Accounting
rapid advancement of technology (Laurensia, 2019). Public Accounting Firms (KAP), including major players like PwC, Deloitte, EY, and KPMG, have begun investing in digital programs …
Artificial intelligence and the new norm in financial and …
2.2. Artificial Intelligence and Accounting In the accounting profession, artificial intelligence is no longer seen as something foreign, as accounting tasks are ... Auditing Intelligence ...
The Impact of Artificial Intelligence on Accounting …
This study explores the impact of artificial intelligence (AI) on accounting education through a semi-systematic review of the literature. The review found findings from 20 studies on the topic …
