AI Fairness

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, …

Fairness of Academic Performance Prediction for the Distribution of Support Measures for Students: Differences in Perceived Fairness of Distributive Justice Norms

The availability of big data at universities enables the use of artificial intelligence (AI) systems in almost all areas of the higher education sector. This also applies to the prediction of academic performance of students: So-called Academic …

How Is Socially Responsible Academic Performance Prediction Possible?

The availability of big data at universities enables the use of artificial intelligence (AI) systems in almost all areas of the institution: from administration to research, to learning and teaching, the use of AI systems is seen as having great …

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 …