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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 …

Ever heard of ethical AI? Investigating the salience of ethical AI issues among the German population

Building and implementing ethical AI systems that benefit the whole society is cost-intensive and a multi-faceted task fraught with potential problems. While computer science focuses mostly on the technical questions to mitigate social issues, social …

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 …

Exploring the roles of trust and social group preference on the legitimacy of algorithmic decision-making vs. human decision-making for allocating COVID-19 vaccinations

In combating the ongoing global health threat of the COVID-19 pandemic, decision-makers have to take actions based on a multitude of relevant health data with severe potential consequences for the affected patients. Because of their presumed …

Der Glaube an Big Data. Eine Analyse gesellschaftlicher Überzeugungen von Erkenntnis- und Nutzengewinnen aus digitalen Daten

In diesem Open-Access-Buch geht Marco Lünich der Annahme verbreiteter Glaubensüberzeugungen von der Qualität und Wirkmächtigkeit von Big Data nach und analysiert die miteinander in Bezug stehenden gesellschaftlichen Überzeugungen von Erkenntnis- und …

The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains

In recent years Artificial Intelligence (AI) has gained much popularity, with the scientific community as well as with the public. Often, AI is ascribed many positive impacts for different social domains such as medicine and the economy. On the other …

Trust in open data applications through transparency

Open data provide great potential for society, for example, in the field of smart cities, from which all citizens might profit. The trust of these citizens is important for the integration of various data, like sensitive user data, into an open data …

Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy

A lack of political legitimacy undermines the ability of the European Union (EU) to resolve major crises and threatens the stability of the system as a whole. By integrating digital data into political processes, the EU seeks to base decision-making …

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 …