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When humans meet machines: AI Literacy, bias and the quest for fair decisions
Konferenzbeiträge:
Ruthsatz, V., Heimbach, I., Müller, O., & Saunders, M. (accepted.). Selective adherence matters: Extension and validation of bias blind spot scale to human-algorithm advice taking systems [Oral presentation]. 8th Gender & STEM Conference, Salzburg, Austria.
Ruthsatz, V., Heimbach, I., & Müller, O. (under review). The double blind spot in human–AI decision making: The role of AI literacy, gender, and stereotypical expectations in reliance on algorithmic advice [Research talk]. 54th DGPs-Congress 2026, Section “Digital Transformation and AI,” Luxembourg.
Publikationen
Heimbach, I., Ruthsatz, V., & Mueller, O. (2025). The effects of judge’s AI literacy and bias blind spot on the utilization of biased algorithmic advice. ICIS 2025 Proceedings, 31. https://aisel.aisnet.org/icis2025/hti/hti/31





