3 books on AI for Accounting [PDF]

Updated: February 27, 2024

Books on AI for Accounting offer startups developing AI solutions in the field of accounting a wealth of knowledge and guidance. They serve as critical tools to understand the intersection of artificial intelligence and financial processes, helping new businesses leverage advanced technologies to streamline accounting tasks, improve accuracy, and reduce operational costs. These resources delve into AI-driven automation, data analysis, and machine learning techniques, which are vital for startups aiming to enhance efficiency and financial decision-making. Moreover, these books also shed light on the regulatory and ethical aspects of AI in accounting, ensuring that startups remain compliant and uphold the highest standards in financial reporting and auditing.

1. Artificial Intelligence in Accounting: Organisational and Ethical Implications
2022 by Othmar M. Lehner, Carina Knoll



"Artificial Intelligence in Accounting: Organisational and Ethical Implications" delves into the transformation of accounting and auditing driven by AI and Big Data. It presents a comprehensive evaluation of the current landscape and discourse surrounding these technologies while also offering insights into the ethical and normative considerations related to their opportunities, risks, and boundaries. The book explores subjects such as the future of human-machine collaboration, cybernetic decision-making approaches, and ethical guidelines for responsible corporate governance when employing AI-based algorithms and Big Data in accounting and auditing. It brings clarity to the complexities of digital transformation in this domain, shedding light on essential issues and ongoing debates in this rapidly evolving field. The authors introduce various analytical approaches, both supportive and critical, and introduce novel theoretical constructs to better understand collaborations between humans and machines in accounting and auditing. "Artificial Intelligence in Accounting" serves as a valuable resource for researchers, scholars, economists, organizations, and management professionals, offering fresh perspectives and theoretical frameworks for digital accounting and auditing. Additionally, it addresses policymakers, reflective practitioners, media commentators, and regulators, making it a significant work in a field of current policy interest.
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2. Accounting Disrupted: How Digitalization Is Changing Finance
2021 by Al Bhimani



"Accounting Disrupted: How Digitalization Is Changing Finance" provides a comprehensive analysis of the profound technological shifts impacting the accounting profession and offers strategic insights for navigating these challenges. Authored by Al Bhimani, a renowned accountant, academic, and writer, the book underscores how traditional business fundamentals are being overshadowed, accounting included. Readers will gain an understanding of how digitalization, encompassing elements like big data and AI, is reshaping audit practices and financial management approaches. Bhimani emphasizes the importance of swift adaptation to diverse data sources and the need for accounting information to shift its focus towards predictive insights rather than retrospective financial reporting. The book highlights the urgency for accounting to undergo a fundamental transformation to meet the demands of modern, digitized organizations. With a clear, illustrated style and a wealth of case studies and practical examples, Bhimani illustrates how technologies like big data, blockchain, robotic process automation, and artificial intelligence can assist accountants in adapting to this evolving landscape. Ideal for finance leaders in both the private and public sectors, "Accounting Disrupted" is also a valuable resource for accounting students preparing to enter a profession undergoing significant technological and professional evolution.
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3. Artificial Intelligence for Audit, Forensic Accounting, and Valuation: A Strategic Perspective
2020 by Al Naqvi



"Artificial Intelligence for Audit, Forensic Accounting, and Valuation" offers a strategic perspective on the comprehensive integration of AI into audit management, encompassing automated models, forensic accounting, and more. This book stands as a unique resource in its expansive approach to AI utilization in audit and accounting practices. It equips you to construct an innovative, automated accounting strategy with AI as its fundamental cornerstone, recognizing AI as the pivotal competitive factor for audit and accounting firms. By embracing AI and automation, you can enhance your outcomes. Failure to incorporate AI and automation into the core of your business strategy could risk being left behind. Discover how AI can serve as the foundation for integrated, automated audit and accounting services, and learn to navigate the governance and leadership challenges associated with AI adoption. For accounting and auditing firms seeking intelligent, automation-driven modernization, "Artificial Intelligence for Audit, Forensic Accounting, and Valuation" provides a comprehensive framework to achieve this goal.
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