ACCOUNTING AND ARTIFICIAL INTELLIGENCE

Unofficial AI-generated summary based on the public title and abstract. Not an official translation.

🔬研究者:AIと会計の統合に関する包括的な枠組みと将来ロードマップを提供し、ESG開示へのAI応用研究の基盤となる。

🏢実務担当者:AIを活用した会計・監査プロセスの導入戦略と倫理ガバナンスの実践的指針を得られる。

🏛政策担当者:AI時代の会計・監査規制の方向性を検討する上で、国際比較と政策含意の参考になる。

Accounting and Artificial Intelligence: Transforming Financial Reporting, Auditing, and Decision-Making in the Digital Age presents a comprehensive exploration of how artificial intelligence is fundamentally reshaping the accounting profession. Authored by Ahmad Omar Hardan, this book positions AI not merely as a technological tool but as a transformative force that redefines the very essence of accounting practice—from transaction processing and financial reporting to auditing, taxation, and strategic decision-making. Through its systematic integration of AI technologies—including machine learning, natural language processing, robotic process automation, and generative AI—with core accounting functions, this volume demonstrates how financial professionals can harness intelligent systems to enhance accuracy, efficiency, and insight. The book traces the evolution of accounting from manual bookkeeping through the digital revolution to the current AI-driven paradigm, emphasizing the potential of these technologies to address perennial challenges such as fraud detection, regulatory compliance, and real-time financial analysis. It examines the strategic frameworks, operational structures, and ethical governance systems that underpin successful AI adoption in accounting, offering a benchmark for firms and institutions worldwide. With a forward-looking lens, the author articulates a vision of accounting where intelligent automation complements human expertise—where technology becomes a catalyst for deeper analytical insight, strategic advisory, and sustainable value creation. In the era of digital transformation, artificial intelligence has evolved from a futuristic concept into a defining force reshaping the global accounting landscape. Accounting and Artificial Intelligence: Transforming Financial Reporting, Auditing, and Decision-Making in the Digital Age by Ahmad Omar Hardan presents an in-depth study of how AI technologies are revolutionizing accounting practice. The book delves into how strategic alignment of AI with core accounting functions—from bookkeeping and financial reporting to auditing, taxation, and management accounting—enhances accuracy, efficiency, and strategic value creation for both organizations and stakeholders. At its core, this work situates AI within a broader transformation of the accounting profession—one that reconciles technological capability with professional judgment and ethical responsibility. Through empirical analysis and conceptual exploration, it demonstrates how AI-powered systems translate vast amounts of financial data into actionable insights, predictive analytics, and real-time decision support. The study highlights key operational frameworks, from automated transaction processing and continuous auditing to AI-driven risk assessment and fraud detection systems. Ahmad Omar Hardan elucidates how regulatory environments, institutional innovation, and socioeconomic contexts converge to support the adoption of AI in accounting. The narrative underscores that AI is not merely a technological upgrade but a fundamental reimagining of how financial information is captured, processed, analyzed, and communicated. It also addresses the multi-dimensional challenges—regulatory, ethical, technical, and organizational—that must be navigated to ensure that AI adoption yields tangible and responsible outcomes. By situating AI adoption within global comparative frameworks, the book articulates the emergence of AI-augmented accounting as a new paradigm in financial management. It argues that an integrated approach—balancing innovation, transparency, and professional skepticism—offers a replicable model for accounting firms, corporations, and regulators worldwide. Ultimately, this work envisions a future where accounting becomes a strategic partner in organizational success, underscoring that the prosperity of businesses and economies depends not on traditional record-keeping alone but on the capacity to leverage intelligent technologies for deeper insight and forward-looking decision-making. The landscape of accounting is evolving rapidly, with artificial intelligence at its core. Accounting and Artificial Intelligence: Transforming Financial Reporting, Auditing, and Decision-Making in the Digital Age delves into how AI technologies are pioneering transformative approaches that align financial accuracy with efficiency, insight, and strategic value. This book explores the mechanisms by which accounting functions integrate AI to ensure long-term organizational resilience, regulatory compliance, and stakeholder trust. Authored by Ahmad Omar Hardan, this publication sheds light on how the accounting profession is leveraging AI to build a future where technology and professional expertise coexist synergistically. Published in 2026, this comprehensive study examines the strategic frameworks, operational variables, and policy implications that position AI-augmented accounting at the forefront of financial management. Background The accounting profession is undergoing a paradigm shift as artificial intelligence becomes a central pillar of financial operations. This book explores why accounting firms and financial departments have embraced AI-driven approaches that integrate automation, predictive analytics, and intelligent decision support. As organizations face pressing challenges—from regulatory complexity to data proliferation and fraud risks—AI stands as a model of how financial functions can drive both efficiency and strategic insight. Definition and Core Concepts AI in accounting extends beyond automation, incorporating intelligent analysis, pattern recognition, and predictive capabilities. This book elaborates on the concept by examining AI methodologies in automating transaction processing, implementing continuous auditing, and fostering strategic decision-making through advanced analytics. Underlying Phenomena The increasing demand for AI in accounting stems from data volume growth, regulatory pressures, and the need for real-time financial intelligence. The book investigates how global trends have influenced AI adoption in accounting and how regulatory frameworks support the integration of intelligent systems into financial reporting and assurance. Working Principles The operational structure of AI-augmented accounting revolves around ethical frameworks, algorithmic transparency, and continuous monitoring. The book details how these principles are applied in accounting systems, ensuring that technological capabilities translate into reliable, trustworthy financial information. Indicators Success in AI adoption requires clear measurement tools. This section outlines key performance indicators used in AI-augmented accounting, including accuracy rates, processing efficiency, fraud detection rates, and predictive analytics performance metrics. Operational Variables A range of factors influence AI adoption in accounting, from regulatory frameworks to organizational culture and stakeholder engagement. This section examines the internal and external dynamics that shape AI integration strategies and sustainable implementation models. Determination Factors The success of AI in accounting hinges on regulatory support, professional readiness, and technological infrastructure. The book analyzes the political, economic, and technological factors that drive AI initiatives in accounting. Implementation and Strategy Achieving AI integration requires a structured approach. This section presents strategies for technology selection, change management, and risk mitigation to maximize the benefits of AI adoption. Challenges, Support Systems, and Barriers AI adoption in accounting is not without obstacles. The book discusses regulatory challenges, implementation costs, and resistance to change while highlighting enablers such as professional training, policy incentives, and international cooperation that bolster AI integration efforts. Conclusion A sustainable financial future depends on forward-thinking accounting practices. This book underscores the role of AI in shaping the future of the accounting profession, setting a benchmark for organizations worldwide. The global accounting landscape is undergoing a profound transformation, emphasizing intelligence, efficiency, and strategic insight. In this context, Ahmad Omar Hardan presents Accounting and Artificial Intelligence: Transforming Financial Reporting, Auditing, and Decision-Making in the Digital Age, a comprehensive study examining how AI technologies are pioneering approaches that simultaneously deliver operational efficiency and strategic value. By integrating AI capabilities with core accounting functions, this book exemplifies how financial institutions can be drivers of organizational success, regulatory compliance, and stakeholder trust. Ahmad Omar Hardan explores the operational, strategic, and policy dimensions that underpin successful AI adoption in accounting. The book delves into methodologies for implementing AI in transaction processing, financial reporting, auditing, taxation, and management accounting. Case studies across sectors such as banking, manufacturing, healthcare, and technology demonstrate practical applications of these strategies, providing replicable models for broader adoption. Public-private partnerships, technological innovation, and global benchmarking are highlighted as critical enablers that allow organizations to expand the reach and effectiveness of AI adoption. The analysis also addresses the challenges inherent in AI integration, including regulatory uncertainty, implementation complexity, and operational risks, while outlining opportunities for innovation, strategic scaling, and policy alignment. Finally, Ahmad Omar Hardan articulates a forward-looking vision through a roadmap to 2040, emphasizing long-term planning, adaptive governance, and collaboration with domestic and international

• openaire https://doi.org/10.17605/osf.io/4t7x6first seen 2026-08-04 04:51:47