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09/18/2023
Information based explanation methods for deep learning agents – with applications on large open-source chess models
With large chess-playing neural network models like AlphaZero contesting...
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07/24/2023
Concept backpropagation: An Explainable AI approach for visualising learned concepts in neural network models
Neural network models are widely used in a variety of domains, often as ...
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01/12/2023
Against Algorithmic Exploitation of Human Vulnerabilities
Decisions such as which movie to watch next, which song to listen to, or...
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12/08/2022
Real-Time Counterfactual Explanations For Robotic Systems With Multiple Continuous Outputs
Although many machine learning methods, especially from the field of dee...
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11/10/2022
Reinforcement Learning in an Adaptable Chess Environment for Detecting Human-understandable Concepts
Self-trained autonomous agents developed using machine learning are show...
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03/11/2022
Interpretable machine learning in Physics
Adding interpretability to multivariate methods creates a powerful syner...
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03/01/2022
Explaining a Deep Reinforcement Learning Docking Agent Using Linear Model Trees with User Adapted Visualization
Deep neural networks (DNNs) can be useful within the marine robotics fie...
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03/01/2022
Explainability for identification of vulnerable groups in machine learning models
If a prediction model identifies vulnerable individuals or groups, the u...
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01/18/2022
Socioeconomic disparities and COVID-19: the causal connections
The analysis of causation is a challenging task that can be approached i...
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11/04/2021
Causal versus Marginal Shapley Values for Robotic Lever Manipulation Controlled using Deep Reinforcement Learning
We investigate the effect of including domain knowledge about a robotic ...
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09/02/2021
Inferring feature importance with uncertainties in high-dimensional data
Estimating feature importance is a significant aspect of explaining data...
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09/02/2021
Artificial Intelligence in Dry Eye Disease
Dry eye disease (DED) has a prevalence of between 5 and 50%, depending o...
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08/06/2021
Beyond Cuts in Small Signal Scenarios - Enhanced Sneutrino Detectability Using Machine Learning
We investigate enhancing the sensitivity of new physics searches at the ...
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07/27/2021
The social dilemma in AI development and why we have to solve it
While the demand for ethical artificial intelligence (AI) systems increa...
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02/22/2021
Shapley values for feature selection: The good, the bad, and the axioms
The Shapley value has become popular in the Explainable AI (XAI) literat...
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07/12/2020
Explaining the data or explaining a model? Shapley values that uncover non-linear dependencies
Shapley values have become increasingly popular in the machine learning ...
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01/27/2020