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Explainable Artificial Intelligence for Academic Performance Prediction. An Experimental Study on the Impact of Accuracy and Simplicity of Decision Trees on Causability and Fairness Perceptions

The rising adoption of learning analytics and academic performance prediction technologies in higher education highlights the urgent need for transparency and explainability. This demand, rooted in ethical concerns and fairness considerations, …

Regulating AI-Based Remote Biometric Identification. Investigating the Public Demand for Bans, Audits, and Public Database Registrations

AI is increasingly being used in the public sector, including public security. In this context, the use of AI-powered remote biometric identification (RBI) systems is a much-discussed technology. RBI systems are used to identify criminal activity in …

Implications of AI (un-)fairness in higher education admissions: the effects of perceived AI (un-)fairness on exit, voice and organizational reputation

Algorithmic decision-making (ADM) is becoming increasingly important in all areas of social life. In higher education, machine learning systems have manifold uses because they can efficiently process large amounts of student data and use these data …