Köchling, A.; Wehner, M.C.; Ruhle, S. (2024): This (AI)n’t fair? Employee reactions to artificial intelligence (AI) in career development. Review of Managerial Science. https://doi.org/10.1007/s11846-024-00789-3
Köchling, A. & Wehner, M.C. (2023): Better Explaining the Benefits why AI? Analyzing the Impact of Explaining the Benefits of AI-supported Selection on Applicant Responses. International Journal of Selection and Assessment, 31(1), 45-62. https://doi.org/10.1111/ijsa.12412
Köchling, A., Wehner, M.C. ; Warkocz, J. (2022): Can I show my skills? Affective Responses to Artificial Intelligence in the Recruitment Process. Review of Managerial Science. https://doi.org/10.1007/s11846-021-00514-4
Köchling, A., Riazy, S., Wehner, M.C., Simbeck, K. (2021): Highly Accurate, But Still Discriminatory: A Fairness Evaluation of Algorithmic Video Analysis in the Recruitment Context. Business & Information Systems Engineering, 63, 39-54. https://doi.org/10.1007/s12599-020-00673-w.
Best Student Paper Award 2021 (CSEDU) für den Beitrag "‘This Student Needs to Stay Back’: To What Degree Would Instructors Rely on the Recommendation of Learning Analytics?" (zusammen mit Linda Mai und Marius Wehner)
Best Paper Award for the Big Data, Data Analytics, and new forms of Work Track (EURAM 2021) für den Beitrag "Feeling treated fairly? : Employee Reactions toward AI in Career Development Systems" (zusammen mit Marius Wehner und Sascha Ruhle)
Köchling, A., Wehner, M.C. (2020). Discriminated by an algorithm: a systematic review of discrimination and fairness by algorithmic decision-making in the context of HR recruitment and HR development. Bus Res 13, 795–848. https://doi.org/10.1007/s40685-020-00134-w
Köchling, A. & Riazy, S. (2019). Fluch oder Segen? Big Data und Learning Analytics im Lernkontext. weiter bilden, (4) , 17–20.
