Publications

Automation bias in public administration — an interdisciplinary perspective from law and psychology

Ruschemeier, H., & Hondrich, L. (2024) · Government Information Quarterly

The objective of this paper is to break down the widely presumed dichotomy between fully automated decisions and human decisions from a psychological and normative perspective.

Addressing Automation Bias Through Verifiability

Hondrich, L., & Ruschemeier, H. (2023) · EWAF 2023, Proceedings of the 2nd European Workshop on Algorithmic Fairness

Identifies verification behavior as crucial for mitigating automation bias in hybrid human-machine systems and proposes verifiability as essential for meaningful human involvement.

Implementing Employee Interest Along the Machine Learning Pipeline

Hondrich, L., Mollen, H. (2024) · "Artificial intelligence, labour, society," edited by Aida Ponce Del Castillo, ETUI

From Risk Mitigation to Employee Action Along the Machine Learning Pipeline

Mollen, A., & Hondrich, L. (2023) · Hans-Böckler-Stiftung

Automated decision-making (ADM) systems in the workplace aggravate the power imbalance between employees and employers by making potentially crucial decisions about employees.

Three-Dimensional Histological Characterization of the Placental Vasculature Using Light Sheet Microscopy

Freise, L., et al., including Hondrich, L. J. (2023) · Biomolecules, 13(6):1009

Investigates placental vascular structures relevant to pregnancy-associated disorders like pre-eclampsia.