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Diverging Perceptions of Artificial Intelligence in Higher Education: A Comparison of Student and Public Assessments on Risks and Damages of Academic Performance Prediction in Germany

The integration of Artificial Intelligence (AI) into higher education, particularly through Academic Performance Prediction (APP), promises enhanced educational outcomes. However, it simultaneously raises concerns regarding data privacy, potential …

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 …

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 …

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 …

It's Now or Never! Future Discounting in the Application of the Online Privacy Calculus

Many people engage in extensive use of networked digital systems despite concerns over their privacy, a phenomenon called the 'online privacy paradox.' Although privacy calculus theory offers a rational explanation for this behavior, it does not …

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 …

Double Crisis: Sport Mega Events and the Future of Public Service Broadcasting.

Covering sport mega events is a pivotal strategy for public service broadcasting (PSB) to claim audience support and public legitimacy. However, these mega events are subject to considerable controversy due to their association with doping or …

Spontaneous trait inferences from candidates’ faces: The impact of the face effect on election outcomes in Germany.

The notion of the ‘face effect’ in political communication denotes a process by which people spontaneously infer the personal character traits of political candidates (e.g., competence, attractiveness) from campaign portrait photographs and election …