Artificial intelligence in accounting: organisational and ethical implications

Table of contents:
ist of Contributors

List of Tables

List of Figures

Part 1 - Introduction to Artificial Intelligence and Big Data in Accounting

1. Organisational and Ethical Perspectives

Othmar M. Lehner and Carina Knoll

2. Artificial Intelligence-driven Accounting (AIDA): Future Insights and Organisational Implications

Othmar M. Lehner, Susanne Leitner-Hanetseder, Christoph Eisl and Carina Knoll

Part 2 - Organisational Implications

3. The "Human" Factor in a Digital Accounting World

Shawnie Kruskopf, Charlotta Lobbas, Hanna Meinander and Kira Söderling

4. Quo Vadis Accountancy? - Future Roles and Responsibilities

Susanne Leitner-Hanetseder, Othmar M. Lehner, Christoph Eisl and Carina Knoll

5. The Need for an Adapted Skillset for Accountants – What Does Accounting Education Literature Tell Us?

Susanne Leitner-Hanetseder, Carina Knoll, Christoph Eisl and Othmar M. Lehner

6. Cybernetic Limits of Artificial Intelligence in Accounting and a Future Research Agenda

Heimo Losbichler and Othmar M. Lehner

7. Good Governance of AI and Big Data Processes in Accounting and Auditing

Tatu Jauhiainen and Othmar M. Lehner

8. Cybersecurity in Accounting Research

Elina Haapamäki and Jukka Sihvonen

Part 3 - Ethical Implications

9. Ethics and the Future of Artificial Intelligence in Auditing

Michael Alles, Ivy Munoko and Miklos Vasarhelyi

10. Ethical Challenges and Normative Thinking in AIDA

Othmar M. Lehner, Kim Ittonen, Hanna Silvola and Eva Ström

11. The Promise of Digital Accounting and Auditing: Brave New World or Dystopia?

Hannah Seligson and Othmar M. Lehner

[https://www.routledge.com/Artificial-Intelligence-in-Accounting-Organisational-and-Ethical-Implications/Lehner-Knoll/p/book/9781032055633]

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.
(https://www.routledge.com/Artificial-Intelligence-in-Accounting-Organisational-and-Ethical-Implications/Lehner-Knoll/p/book/9781032055633)