Carlos Zednik
Department
Group
RESEARCH PROFILE
Carlos Zednik addresses philosophical questions about the explanation of biological and artificial intelligence. For psychology and neuroscience, he aims to better understand the way in which mathematical models and computers simulations are used to discover and describe cognitive mechanisms, especially within distributed brain-body-environment systems. For artificial intelligence, he aims to develop norms and best-practice methods for explainable AI in the context of machine learning.
ACADEMIC BACKGROUND
Carlos Zednik received a Bachelor's degree in Computer Science and Philosophy from Cornell University, and a Masters degree in Philosophy of Mind from the University of Warwick. After receiving his PhD from Indiana University (Bloomington) on the philosophical foundations of cognitive science, he received fellowships from the DAAD and Alexander-von-Humboldt Foundation to conduct postdoctoral research at the University of Osnabrück. Before arriving in Eindhoven, he was an Assistant Professor at the Otto-von-Guericke University Magdeburg.
Recent Publications
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Carlos Zednik,Hannes Boelsen
Scientific Exploration and Explainable Artificial Intelligence
Minds and Machines (2022) -
Carlos Zednik
Solving the Black Box Problem
Philosophy and Technology (2021) -
Carlos Zednik
Models and mechanisms in network neuroscience
Philosophical Psychology (2019) -
Carlos Zednik
Computational Cognitive Neuroscience
(2018) -
Carlos Zednik,Frank Jäkel
Descending Marr's levels
Behavioral and Brain Sciences (2018)
Ancillary Activities
No ancillary activities