Team Design Patterns for Moral Decisions in Hybrid Intelligent Systems: A Case Study of Bias Mitigation. - Jip J. van Stijn; Mark A. Neerincx; Annette ten Teije; Steven Vethman (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Vacancy Improver: A Demo towards skill-based debiased Vacancies. - Maaike H. T. de Boer; Erik M. Boertjes; Mike Wilmer; Steven Vethman; Ajaya Adhikari; Jok Tang (UMAP (Adjunct Publication), 2021)

The FATE System Iterated: Fair, Transparent and Explainable Decision Making in a Juridical Case. - Maaike H. T. de Boer; Steven Vethman; Roos M. Bakker; Ajaya Adhikari; Michiel Marcus; Joachim de Greeff; Jasper van der Waa; Tjeerd A. J. Schoonderwoerd; Ioannis Tolios; Emma M. van Zoelen; Fieke Hillerström; Bart Kamphorst (AAAI Spring Symposium: MAKE, 2022)

Context-Aware Discrimination Detection in Job Vacancies using Computational Language Models. - Steven Vethman; Ajaya Adhikari; Maaike H. T. de Boer; Joost A. G. M. van Genabeek; Cor J. Veenman (CoRR, 2022)

Random Sample as a Pre-pilot Evaluation of Benefits and Risks for AI in Public Sector. - Steven Vethman; Marianne Schaaphok; Marissa Hoekstra; Cor J. Veenman (ECAI Workshops (2), 2023)

Gender mobility in the labor market with skills-based matching models. - Ajaya Adhikari; Steven Vethman; Daan Vos; Marc Lenz; Ioana Cocu; Ioannis Tolios; Cor J. Veenman (AI Ethics, 2024)

Detecting Discrimination in Job Vacancies: A Critical Reflection on the Potential of AI Language Models. - Steven Vethman; Ajaya Adhikari; Eliza Hobo; Maaike de Boer; Joost A. G. M. van Genabeek; Cor J. Veenman (EWAF, 2025)

Fairness Beyond the Algorithmic Frame: Actionable Recommendations for an Intersectional Approach. - Steven Vethman; Quirine T. S. Smit; Nina M. van Liebergen; Cor J. Veenman (FAccT, 2025)

We need better images of AI and better conversations about AI. - Marc Steen; Tjerk Timan; Jurriaan van Diggelen; Steven Vethman (AI Soc., 2025)