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 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)

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. - Marco Lünich; Birte Keller (FAccT, 2024)

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. - Marco Lünich; Birte Keller; Frank Marcinkowski (Comput. Educ. Artif. Intell., 2024)

Fairness of Academic Performance Prediction for the Distribution of Support Measures for Students: Differences in Perceived Fairness of Distributive Justice Norms. - Marco Lünich; Birte Keller; Frank Marcinkowski (Technol. Knowl. Learn., 2024)