Christopher Starke

According to our database, Christopher Starke authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Public Discourse about COVID-19 Vaccinations: A Computational Analysis of the Relationship between Public Concerns and Policies.

Katarina Boland, Christopher Starke, Felix Bensmann, Frank Marcinkowski, Stefan Dietze

CoRR, 2024

2022

Fairness perceptions of algorithmic decision-making: A systematic review of the empirical literature.

Christopher Starke, Janine Baleis, Birte Keller, Frank Marcinkowski

Big Data Soc., July, 2022

Artificial intelligence ethics by design. Evaluating public perception on the importance of ethical design principles of artificial intelligence.

Kimon Kieslich, Birte Keller, Christopher Starke

Big Data Soc., January, 2022

The promise and perils of using artificial intelligence to fight corruption.

Nils C. Köbis, Christopher Starke, Iyad Rahwan

Nat. Mach. Intell., 2022

2021

AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI.

Kimon Kieslich, Birte Keller, Christopher Starke

CoRR, 2021

Artificial Intelligence as an Anti-Corruption Tool (AI-ACT) - Potentials and Pitfalls for Top-down and Bottom-up Approaches.

Nils C. Köbis, Christopher Starke, Iyad Rahwan

CoRR, 2021

2020

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

Christopher Starke, Marco Lünich

CoRR, 2020

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

Frank Marcinkowski, Kimon Kieslich, Christopher Starke, Marco Lünich

Proceedings of the FAT* '20: Conference on Fairness, 2020