Human-Centered Explainable AI

Florian Brühlmann, PhD
Thu, 22 Oct 2020

Understanding users' needs to improve explanations given by black box systems.

Florian Brühlmann, PhD
Florian Brühlmann, PhD
UX researcher and data scientist. Head of the Human-Computer Interaction research group @ MMI Basel

My research interests include user experience, digital games, scale development, and data quality.

Publications

Trust and Reliance in XAI--Distinguishing Between Attitudinal and Behavioral Measures

Trust is often cited as an essential criterion for the effective use and real-world deployment of AI. Researchers argue that AI should …
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Initial evidence for biased decision-making despite human-centered AI explanations

In explainable artificial intelligence (XAI) research, explainability is widely regarded as crucial for user trust in artificial …
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Empirical hints of cognitive biases despite human-centered AI explanations

In explainable artificial intelligence (XAI) research, explain-ability is widely regarded as crucial for user trust in …
PDF Project