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Projects

The scientific work in the ELSA lab is centred into three work packages, focusing on the technical perspective (WP1, Radboud University, PhD candidate Joost Vossers), the human-computer interaction perspective (WP2, Utrecht University, PhD candidate Manzoor Nematput), and the legal perspective (WP3, Radboud University, Postdoc Emma Rengers).

Accountable AI in laws and regulations

It is not immediately obvious what the legal requirements are for CDSSs regarding explainability, transparency, accountability, and data traceability – explainability requirements for short.

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Accountable machine learning and inference in AI models

In the past decades a variety of Clinical Decision Support Systems based on Bayesian networks have been proposed.

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Economic and societal impact

The ELSA lab’s activities are designed to accelerate the adoption of trustworthy AI technologies in healthcare and other critical sectors, leading to lasting societal and economic benefits.

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Multi-agent modelling of accountability regulations in hybrid patient-doctor-AI settings

Despite the significant advancements in AI, contemporary Clinical Decision Support Systems predominantly function as tools, offering high prediction accuracy but lack the aspects of integration into the decision-making processes of professional practices.

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ELSA Labs

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