Contactc.a.zednik@ tue.nl 0.
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.
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.
Scientific Exploration and Explainable Artificial IntelligenceMinds and Machines (2022)
Solving the Black Box ProblemPhilosophy and Technology (2021)
Models and mechanisms in network neurosciencePhilosophical Psychology (2019)
Computational Cognitive Neuroscience(2018)
Descending Marr's levelsBehavioral and Brain Sciences (2018)
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