Marco Lünich

Orcid: 0000-0002-0553-7291

According to our database1, Marco Lünich authored at least 11 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Fairness of Academic Performance Prediction for the Distribution of Support Measures for Students: Differences in Perceived Fairness of Distributive Justice Norms.
Technol. Knowl. Learn., June, 2024

Ever Heard of Ethical AI? Investigating the Salience of Ethical AI Issues among the German Population.
Int. J. Hum. Comput. Interact., June, 2024

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.
AI Soc., February, 2024

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.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Regulating AI-Based Remote Biometric Identification. Investigating the Public Demand for Bans, Audits, and Public Database Registrations.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2022
Trust in open data applications through transparency.
New Media Soc., 2022

2021
The Threats of Artificial Intelligence Scale (TAI).
Int. J. Soc. Robotics, 2021

Using automated decision-making (ADM) to allocate Covid-19 vaccinations? Exploring the roles of trust and social group preference on the legitimacy of ADM vs. human decision-making.
CoRR, 2021

2020
The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains.
CoRR, 2020

Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy.
CoRR, 2020

Implications of AI (un-)fairness in higher education admissions: the effects of perceived AI (un-)fairness on exit, voice and organizational reputation.
Proceedings of the FAT* '20: Conference on Fairness, 2020


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