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 (FAT*, 2020)

Artificial Intelligence for EU Decision-Making. Effects on Citizens Perceptions of Input, Throughput and Output Legitimacy. - Christopher Starke; Marco Lünich (CoRR, 2020)

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)

AI-Ethics by Design. Evaluating Public Perception on the Importance of Ethical Design Principles of AI. - Kimon Kieslich; Birte Keller; Christopher Starke (CoRR, 2021)

The promise and perils of using artificial intelligence to fight corruption. - Nils C. Köbis; Christopher Starke; Iyad Rahwan (Nat. Mach. Intell., 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., 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., 2022)

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)

Interdisciplinary Perspectives on the (Un)fairness of Artificial Intelligence. - Christopher Starke; Tobias Blanke; Natali Helberger; Sonja Smets; Claes de Vreese (Minds Mach., 2025)