Wroclaw releases ‘Human versus Machine: Accounting, Auditing and Education in the Era of Artificial Intelligence’

Artificial Intelligence

Wroclaw University of Economics and Business is pleased to announce a new publication, the result of research by a team of researchers led by Professor Joanna Dyczkowska, entitled Human Resources Management in Multinational Companies: A Central European Perspective.

“Human versus Machine: Accounting, Auditing and Education in the Era of Artificial Intelligence” is a book that provides a critical reflection on the state and perspectives of the accountancy and auditors profession, addresses AI technology’s supportive role in accounting and auditing tasks, reporting processes and reports’ attestation, as well as stresses the necessity to modify educational curriculums in business accounting in response to changing circumstances, and set the regulatory frameworks regarding the use of generative AI by academics and students.

The considerations covered in the book are timely and can be helpful for business practitioners, academics and students. Moreover, the international context of the publication, reference to the latest literature on AI applications in business accounting, and presented research study can make this work valuable for all those interested in the opportunities and threats that AI may bring into the professional lives of many.

Artificial intelligenceKeywords: accounting and auditing profession, artificial intelligence tools, attestation of sustainability reports, higher education, integrated reporting

Joanna Dyczkowska is an Associate Professor and a Head of the Department of Cost Accounting, Taxes Management and Controlling at the Wroclaw University of Economics and Business in Poland. Her research interests include non-financial, integrated and sustainability reporting, stakeholder management and stakeholder capitalism.

Joanna Dyczkowska profile

Joanna Dyczkowska in a WIR database (Knowledge and Research Potential platform)

Human versus Machine: Accounting…  in a WIR database (Knowledge and Research Potential platform)

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