EURO 2025 Leeds
Abstract Submission

2454. How to foster structural empowerment with AI Governance to improve work practices

Invited abstract in session TC-61: Behaviour in information systems, stream Behavioural OR.

Tuesday, 12:30-14:00
Room: Maurice Keyworth G.31

Authors (first author is the speaker)

1. Michael Leyer
Chair of Digitalisation and Process Management, University of Marburg
2. Oliver Behn
3. Marc Jungtaeubl
Hoems University of Applied Sciences
4. Mascha Will-Zocholl
Hoems University of Applied Sciences

Abstract

Today, professionals using AI systems in business operations face high public and legal expectations, requiring them to develop a strong understanding of their functionality and implications. For instance, the EU AI Act demands that deployers of AI systems are needed to ensure their personnel have sufficient AI knowledge. However, a recent survey of AI practitioners revealed that many lack confidence in managing AI solutions, with only one in four believing their skills and knowledge are sufficient. This points to a significant lack of AI literacy and raises the question, how a solid level of understanding can be effectively attained and maintained, particularly as AI continues to evolve. This challenge becomes even more pressing as AI systems become more sophisticated, transitioning from mere tools to autonomous agents. As a result, the relationship between humans and AI is shifting from simply using a tool to engaging in a collaborative partnership. To navigate this transformation, new competencies are required—both for employees and organizations—to assess AI trustworthiness effectively. We address this challenge from the perspective of how work practices can be improved by fostering structural empowerment of employees with AI Governance. Our work aims to develop normative design principles for responsible algorithmic decision-making from a human-centric perspective and to provide tailored recommendations for organisations.

Keywords

Status: accepted

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