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Author: Ph Zygoulis
Publisher: GRIN Verlag
ISBN: 3389064265
Category : Business & Economics
Languages : en
Pages : 26
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Book Description
Seminar paper from the year 2024 in the subject Business economics - Revision, Auditing, grade: A, , language: English, abstract: This review work makes significant contributions to both theoretical and practical areas. For theory, it identifies unexplored study areas (research gaps), hence influencing future research orientations and theoretical underpinnings. Furthermore, this review contributes to the development of a theoretical framework (CACS), which will help stakeholders comprehend and conceptualize the use of AI in the IAF and can serve as a foundation for future research. In reality, this study assists internal auditors in assessing and understanding the possible benefits and risks of using AI in their organization's IAF.
Author: Ph Zygoulis
Publisher: GRIN Verlag
ISBN: 3389064265
Category : Business & Economics
Languages : en
Pages : 26
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Book Description
Seminar paper from the year 2024 in the subject Business economics - Revision, Auditing, grade: A, , language: English, abstract: This review work makes significant contributions to both theoretical and practical areas. For theory, it identifies unexplored study areas (research gaps), hence influencing future research orientations and theoretical underpinnings. Furthermore, this review contributes to the development of a theoretical framework (CACS), which will help stakeholders comprehend and conceptualize the use of AI in the IAF and can serve as a foundation for future research. In reality, this study assists internal auditors in assessing and understanding the possible benefits and risks of using AI in their organization's IAF.
Author: Lourens J. Erasmus
Publisher: CRC Press
ISBN: 104011430X
Category : Business & Economics
Languages : en
Pages : 232
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Book Description
The effectiveness of internal audit activities is important for the sustainability of change in the public sector. In this sense, the tools and techniques used and the level of competencies of public sector auditors are decisive. This book deals with the effects of current technological developments in the public sector on auditing and risk management activities. Therefore, it is a resource for public internal auditors to create a digital audit strategy based on artificial intelligence (AI) and blockchain-based applications. Institutionalisation of their structures is important for public sector internal auditors. For this, basic requirements, future expectations, and best practices are explained. The digital business model is presented to produce value-added audit findings and outputs that guide public internal auditors and all digital-era stakeholders. This book is a pioneering work based on continuous auditing/continuous monitoring approaches using various AI and blockchain-based tools and techniques. There is nothing more valuable to the success of a public internal auditor than a detailed understanding of the business. The important lesson in developing business knowledge, especially in the new audit universe emerging with digital transformation, is that all auditors must understand that they never finish learning about business processes, risks, and control points in the digital era. They must constantly push themselves to be motivated and learn about the business operations they audit to implement new audit approaches powered by AI. In addition to obtaining up-to-date business information from process owners and stakeholders, public auditors responsible for conducting an AI-based continuous audit programme should also look inside their departments for a different perspective on business information that impacts continuous audit programme phase details and has the potential to add value. It should be noted that the additional source of information begins with your individual audit experience, digital skills, and qualifications.
Author: HASSAN OMIDI FIROUZI
Publisher:
ISBN:
Category :
Languages : en
Pages : 0
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Book Description
With the rise of Artificial Intelligence (AI), industries embraced or are preparing to embrace its potentials. Financial industries, banking industry in particular, are unleashing and harnessing AI powers in various business lines and functional departments. However, similar to other initiatives, AI brings its own opportunities and challenges including various legal and compliance risks. Banks are required to understand this technology clearly and mitigate potential risks associated with the applications of these tools. Introducing sound and transparent measures to mitigate the potential risks entails new initiatives from various lines of defense within banks. In this paper, our focus is devoted to the third line of defense also known as Internal Audit (IA) function. As a current industry practice, effective challenges for different stages of an AI model from data access, collection and compliance, model development and validation, to the deployment and integration of the model within the established IT systems are performed by different teams within Internal Audit function. These teams do not necessarily look at the end-to-end process in a joint effort but rather perform in solos. This approach has successfully been running until today, however, with AI in place this approach will not be as effective and efficient as used to be. The main rationale underlying this statement is that with AI tools one cannot effectively challenge the data part of the model (or the IT deployment) without knowing sufficient information about the model. In this paper, we introduce a unified model-centric framework for Internal Audit function to enable the third line of defense to perform effective challenge for AI tools and technology in a smooth and unified way. In this approach, model team is responsible (not only for the model audit part), in collaboration with other teams, for the end-to-end audit process of AI tools.
Author: Al Naqvi
Publisher: John Wiley & Sons
ISBN: 1119601886
Category : Business & Economics
Languages : en
Pages : 326
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Book Description
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.
Author: Othmar M. Lehner
Publisher: Taylor & Francis
ISBN: 1000627330
Category : Business & Economics
Languages : en
Pages : 246
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Book Description
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.
Author: Shuaib Ahmed Jooman
Publisher:
ISBN:
Category : Auditing, Internal
Languages : en
Pages : 100
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Book Description
Author:
Publisher:
ISBN:
Category : Auditing, Internal
Languages : en
Pages : 222
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Book Description
Author: Nabyla Daidj
Publisher: Taylor & Francis
ISBN: 1000781127
Category : Business & Economics
Languages : en
Pages : 142
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Book Description
The main objective of this book is to provide both academics and practitioners with a global vision of the evolution of internal auditing in a fast-changing business landscape driven by digital transformation. Digital transformation has been first associated with the emergence and the development of new technologies (artificial intelligence, blockchain, cloud computing, data analytics, predictive analytics, robotic process automation, IOT, drones etc.). Beyond the technological dimensions, this transformation has several impacts on businesses, organizations and processes and raises several questions for auditing activities. This book explores how digitalization not only has an impact on the audit environment, but also on internal audit practices and methodologies, information technology (IT)/information system (IS) audit, IT governance and risk management. The auditing profession also has to face the same challenges. Auditors should develop new skills. To continue to provide high quality service in such an environment, the methodologies, the process and the tools used for conducting an audit have progressively changed from those applied to the traditional audit. Internal audit, as a key strategic function, must evolve too. Finally, the book also investigates the impact of the COVID-19 pandemic on internal auditing. The author highlights the need for a new vision and renewed forecasting tools. The post-COVID-19 business and corporate world has changed. Internal audit, as a key strategic function, must evolve too.
Author: Alhamzah Alnoor
Publisher: Springer Nature
ISBN: 3031637178
Category :
Languages : en
Pages : 404
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Book Description
Author: Miklos A. Vasarhelyi
Publisher: Berg Publishers
ISBN: 9780854961849
Category : Accounting
Languages : en
Pages : 424
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Book Description
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.
