Carlos Zednik

Osnabrück University — Germany

Computer Science · Physical Sciences

9h-index523citations29works1.52yr avg
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Research Topics

Explainable Artificial Intelligence (XAI)(7), Philosophy and History of Science(6), Neural dynamics and brain function(4), Ethics and Social Impacts of AI(3), Online Learning and Analytics(3)

Publications29 total

Assessing students’ DRIVE: A framework to evaluate learning through students’ interactions with generative AI
2025Open Access
Assessing students’ DRIVE: A framework to evaluate learning through interactions with generative AI
Computers and Education Artificial Intelligence·2025· 1 citedOpen Access
Assessing students’ DRIVE: An evidence-based framework to evaluate learning through students’ interactions with generative AI
2025Open Access
Assessing students’ DRIVE: An evidence-based framework to evaluate learning through students’ interactions with generative AI
2025Open Access
Assessing students’ DRIVE: An evidence-based framework to evaluate learning through students’ interactions with generative AI
2025Open Access
How does Bayesian reverse-engineering work?
TUbilio (Technical University of Darmstadt)·2025· 8 citedOpen Access
Scientific Exploration and Explainable Artificial Intelligence
Minds and Machines·2022· 66 citedOpen Access
AI3SD Video: How can Explainable AI help scientific exploration?
ePrints Soton (University of Southampton)·2021Open Access
The Exploratory Role of Explainable Artificial Intelligence
PhilSci-Archive (University of Pittsburgh)·2020· 2 citedOpen Access
Solving the Black Box Problem: A Normative Framework for Explainable Artificial Intelligence
Philosophy & Technology·2019· 28 citedOpen Access
Solving the Black Box Problem: A General-Purpose Recipe for Explainable Artificial Intelligence.
arXiv (Cornell University)·2019· 3 citedOpen Access
Computational cognitive neuroscience
2018· 35 citedOpen Access
Models and mechanisms in network neuroscience
Philosophical Psychology·2018· 46 cited
Descending Marr's levels: Standard observers are no panacea
Behavioral and Brain Sciences·2018· 2 cited
Will Machine Learning Yield Machine Intelligence?
Studies in applied philosophy, epistemology and rational ethics·2018· 4 cited
Mechanisms in cognitive science 1
2017· 9 cited
Mechanisms in Cognitive Science
2017· 8 cited
Meeting in the Dark Room: Bayesian Rational Analysis and Hierarchical Predictive Coding
2017· 3 citedOpen Access
Bayesian reverse-engineering considered as a research strategy for cognitive science
Synthese·2016· 41 cited
Heuristics, Descriptions, and the Scope of Mechanistic Explanation
History, philosophy and theory of the life sciences·2015· 32 cited
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Frequent Co-authors

Manuel Oliveira(5), Gunter Bombaerts(5), Bert M. Sadowski(5), Rianne Conijn(5), Frank Jäkel(4), Hannes Boelsen(2), Michael J. Spivey(2), David Landy(1), Colin Allen(1), Sascha Benjamin Fink(1), Daniel C. Richardson(1), Darren Richardson(1), Johan Kwisthout(1), Iris van Rooij(1), Matteo Colombo(1), William A. Phillips(1)