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.
