Accessibility of reformulated mathematical content. - Stefan Buijsman (Synth., 2017)

The Complexity of Mental Integer Addition. - Stefan Buijsman; Markus Pantsar (J. Numer. Cogn., 2020)

Two roads to the successor axiom. - Stefan Buijsman (Synth., 2020)

How numerals support new cognitive capacities. - Stefan Buijsman (Synth., 2020)

Why and How Should We Explain AI? - Stefan Buijsman (ACAI, 2021)

CHIME: Causal Human-in-the-Loop Model Explanations. - Shreyan Biswas; Lorenzo Corti; Stefan Buijsman; Jie Yang 028 (HCOMP, 2022)

It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge. - Gaole He; Agathe Balayn; Stefan Buijsman; Jie Yang 028; Ujwal Gadiraju (HCOMP, 2022)

Defining Explanation and Explanatory Depth in XAI. - Stefan Buijsman (Minds Mach., 2022)

Defining and Evaluating the Degrees of Abstraction in Explanations with Kolmogorov Complexity. - Jan Lemeire; Stefan Buijsman (BNAIC/BENELEARN, 2023)

What does ChatGPT know about natural science and engineering? - Lukas Schulze Balhorn; Jana M. Weber; Stefan Buijsman; Julian Romeo Hildebrandt; Martina Ziefle; Artur M. Schweidtmann (CoRR, 2023)

How Stated Accuracy of an AI System and Analogies to Explain Accuracy Affect Human Reliance on the System. - Gaole He; Stefan Buijsman; Ujwal Gadiraju (Proc. ACM Hum. Comput. Interact., 2023)

Supplementary information to "What does ChatGPT know about natural science and engineering?". - Lukas Schulze Balhorn; Jana M. Weber; Stefan Buijsman; Julian Romeo Hildebrandt; Martina Ziefle; Artur M. Schweidtmann (Zenodo, 2023)

Spotting When Algorithms Are Wrong. - Stefan Buijsman; Herman Veluwenkamp (Minds Mach., 2023)

Nothing Comes Without Its World - Practical Challenges of Aligning LLMs to Situated Human Values through RLHF. - Anne Arzberger; Stefan Buijsman; Maria Luce Lupetti; Alessandro Bozzon; Jie Yang 028 (AIES (1), 2024)

A Relational Justification of AI Democratization. - Bauke Wielinga; Stefan Buijsman (AIES (1), 2024)

Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making? - Gaole He; Agathe Balayn; Stefan Buijsman; Jie Yang 028; Ujwal Gadiraju (J. Artif. Intell. Res., 2024)

AITA: AI trustworthiness assessment. - Bertrand Braunschweig; Stefan Buijsman; Faïcel Chamroukhi; Fredrik Heintz; Foutse Khomh; Juliette Mattioli; Maximilian Poretschkin (AI Ethics, 2024)

Transparency for AI systems: a value-based approach. - Stefan Buijsman (Ethics Inf. Technol., 2024)

Navigating fairness measures and trade-offs. - Stefan Buijsman (AI Ethics, 2024)

The imperative of diversity and equity for the adoption of responsible AI in healthcare. - Denise E. Hilling; Imane Ihaddouchen; Stefan Buijsman; Reggie Townsend; Diederik Gommers; Michel E. van Genderen (Frontiers Artif. Intell., 2025)

How to gain control and influence algorithms: contesting AI to find relevant reasons. - Sietze Kai Kuilman; Luciano Cavalcante Siebert; Stefan Buijsman; Catholijn M. Jonker (AI Ethics, 2025)

Measuring the right thing: justifying metrics in AI impact assessments. - Stefan Buijsman; Herman Veluwenkamp (CoRR, 2025)

Autonomy by Design: Preserving Human Autonomy in AI Decision-Support. - Stefan Buijsman; Sarah Carter; Juan Pablo Bermúdez (CoRR, 2025)

Explainable AI: definition and attributes of a good explanation for health AI. - Evangelia Kyrimi; Scott McLachlan; Jared M. Wohlgemut; Zane B. Perkins; David A. Lagnado; William Marsh 001; Alexander Gimson; Ali Shafti; Ari Ercole; Amitava Banerjee; Ben Glocker; Burkhard Schafer 001; et al. (AI Ethics, 2025)

Design for operator contestability: control over autonomous systems by introducing defeaters. - Herman Veluwenkamp; Stefan Buijsman (AI Ethics, 2025)