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Automated Reasoning for Economics

In this project, we develop algorithms to support economists who try to design new mechanisms for group decision making.
Responsible White
Fairness White
Algorithm White
Theory-driven White
Ongoing

Explainable AI for Fraud Detection

In this project, we study and develop new generation AI systems for fraud detection which are not only accurate, but also explainable for different stakeholders and adaptive to certain business rules.
Trustworthy White
Explainable White
Ongoing

Bias across borders: towards a social-political understanding of bias in machine learning

Goal of this project is to provide a clear conceptual framework on the notion of bias in machine learning for AI researchers in the context of algorithmic fairness.
Responsible White
Bias White
Theory-driven White
Ongoing

InDeep: Interpreting Deep Learning Models for Text and Sound

Goal of the project is to find ways to make popular Artificial Intelligence models for language, speech and music more explainable.
Explainable White
Theory-driven White
Ongoing

Participatory Budgeting

In this project, we design and analyse voting rules for participatory budgeting, a direct democracy initiative where residents jointly decide on how public funds are spent.
Fairness White
Ongoing

Inclusive Image and Video Captioning

Current AI systems describing the content of images and videos in natural language often make assumptions about the gender, nationality, or physical appearance of the people in them. In this project, we aim to fix this unwanted behavior by developing more inclusive systems.
Bias White
Inclusive White
Ongoing

About the people

CERTAIN consists of a diverse group of researchers with various backgrounds. What unites us is our interest in developing explainable and responsible AI. Feel free to contact us or learn more about what we do.

Blogs & events

Going beyond a mathematical investigation of bias

A version of this blog post first appeared on https://odvanderwal.nl/2023/positioning-bias. When researchers study how biased language models are, they generally approach this in a mathematical or statistical way. For example,...