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Artificial Intelligence in Business and Economics

The Economic Perspective on Artificial Intelligence (EPEAI)
International Research Conference

3rd EPEAI:
University of Salford, Manchester
16 – 17 June 2026

What is the EPEAI?

The Economic Perspective on Artificial Intelligence (EPEAI) is an international academic conference series focusing on the economic, business, and policy implications of artificial intelligence (AI). The series brings together researchers, policymakers, and practitioners to analyse how AI technologies affect firms, markets, labour, and governance. Founded in 2023 by Hochschule Ruhr West (HRW) in Mülheim an der Ruhr, Germany, the EPEAI has since expanded to include partner institutions in South Africa and the United Kingdom. It is regarded as one of the first recurring scientific formats dedicated exclusively to the economic perspective on AI.

What topics are the focus of this conference?

The conference focuses on theoretical or empirical contributions for these topics:

  • New and experimental Developments in AI
  • (AI-driven) Entrepreneurship and AI-driven Business Models and Strategies.
  • AI in Business Administration and Processes, e.g., Finance, Accounting, Controlling, Human Resources, Marketing, Production, Supply Chain Management, Quality and Sustainability Management.
  • GenAI, explainable AI and Decision-making; Risk and Opportunities of AI-Agents.
  • Ethics, Regulation and Policy of AI.
  • Digital Transformation of Skills and Jobs.
  • Infrastructure, Energy and Finance supply and AI Competitiveness.
  • Micro- and Macroeconomic framework: Competition, Productivity and Markets.

What are the important dates?

Submission of abstracts

31 December 2025

 
Submission of conference paper

15 May 2026

 
Conference

16 – 17 June 2026

 
Contribution of the revised paper

31 July 2026

How to submit a paper to the conference?

Send an e-mail with your abstract to submission@epe.ai. Please include the following:

  • Contribution title
  • An abstract of 300 to 500 words, including a short description of methodology
  • Name and e-mail addresses (and affiliation) of all authors involved
  • Placement in one of the topics mentioned above

Further Information

  Contact

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