Artificial Intelligence in Accounting: Organisational and Ethical Implications

✍ Scribed by Othmar M. Lehner, Carina Knoll

• Publisher: Routledge
• Year: 2022
• Tongue: English
• Leaves: 329
• Series: Routledge Studies in Accounting
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Cover
Half Title
Series
Title
Copyright
Contents
List of Contributors
List of Tables
List of Figures
Part I Introduction to Artificial Intelligence and Big Data in Accounting
1 Organisational and Ethical Perspectives
2 Artificial Intelligence-driven Accounting (AIDA): Future Insights and Organisational Implications
Part II Organisational Implications
3 The “Human” Factor in a Digital Accounting World
4 Quo Vadis Accountancy? – Future Roles and Responsibilities
5 The Need for an Adapted Skillset for Accountants – What Does Accounting Education Literature Tell Us?
6 Cybernetic Limits of Artificial Intelligence in Accounting and a Future Research Agenda
7 Good Governance of AI and Big Data Processes in Accounting and Auditing
8 Cybersecurity in Accounting Research
Part III Ethical Implications
9 Ethics and the Future of Artificial Intelligence in Auditing
10 Ethical Challenges and Normative Thinking in AIDA
11 The Promise of Digital Accounting and Auditing: Brave New World or Dystopia?
Index