Stefan Buijsman

Orcid: 0000-0002-0004-0681

According to our database1, Stefan Buijsman authored at least 19 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Navigating fairness measures and trade-offs.
AI Ethics, November, 2024

Transparency for AI systems: a value-based approach.
Ethics Inf. Technol., June, 2024

AITA: AI trustworthiness assessment.
AI Ethics, February, 2024

Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?
J. Artif. Intell. Res., 2024

A Relational Justification of AI Democratization.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

Nothing Comes Without Its World - Practical Challenges of Aligning LLMs to Situated Human Values through RLHF.
Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023
Spotting When Algorithms Are Wrong.
Minds Mach., December, 2023

Supplementary information to "What does ChatGPT know about natural science and engineering?".
Dataset, September, 2023

How Stated Accuracy of an AI System and Analogies to Explain Accuracy Affect Human Reliance on the System.
Proc. ACM Hum. Comput. Interact., 2023

What does ChatGPT know about natural science and engineering?
CoRR, 2023

Defining and Evaluating the Degrees of Abstraction in Explanations with Kolmogorov Complexity.
Proceedings of the Artificial Intelligence and Machine Learning - 35th Benelux Conference, 2023

2022
Defining Explanation and Explanatory Depth in XAI.
Minds Mach., 2022

It Is like Finding a Polar Bear in the Savannah! Concept-Level AI Explanations with Analogical Inference from Commonsense Knowledge.
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

CHIME: Causal Human-in-the-Loop Model Explanations.
Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

2021
Why and How Should We Explain AI?
Proceedings of the Human-Centered Artificial Intelligence, 2021

2020
How numerals support new cognitive capacities.
Synth., 2020

Two roads to the successor axiom.
Synth., 2020

The Complexity of Mental Integer Addition.
J. Numer. Cogn., 2020

2017
Accessibility of reformulated mathematical content.
Synth., 2017


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