Abstract:
This article examines the opportunities and limitations of using artificial intelligence in academic advising, drawing on both current developments in higher education and practical experience from advising contexts. Starting from the observation that AI-based systems have already become an integral part of everyday study and work for many students and staff, the authors discuss which tasks AI can meaningfully support and where its limitations become evident. Central to the analysis is the insight that AI does not operate on knowledge but on probabilities, and that its outputs therefore always require professional interpretation and validation. Based on four guiding theses, the article outlines how AI can be deployed in academic advising in a responsible, practice-oriented, and data protection-compliant manner. It argues for a reflective use of AI as a supportive tool that creates additional time for personal advising, while not replacing the human expertise at the core of effective guidance.
Über die Autorinnen:
- Luisa-Marie Mikat,
Studium der International Economics mit Schwerpunkt Datenanalyse und Simulation, ehem. Lehrbeauftragte für Volkswirtschaftslehre an der Hochschule der Medien in Stuttgart, seit 2022 Senior Consultant bei der PD – Berater der öffentlichen Hand GmbH - Tobias D. Krafft,
Dr., Geschäftsführer der Trusted AI GmbH, Leiter der Arbeitsgruppe „Ethik/Responsible AI“, Sprecher der Regionalgruppe Kaiserslautern der Gesellschaft für Informatik
