BIOGRAPHY
Marko Tešić is a research associate within the Kinds of Intelligence programme. He focuses on exploring the cognitive capabilities of AI and translating these capabilities onto the cognitive requirements of specific roles within the human workforce. This research is carried out in collaboration with the OECD and experts in occupational psychology.
Previously, Marko was a Royal Academy of Engineering UK IC postdoctoral research fellow. His research involved investigating the impact that explanations of AI predictions can have on our beliefs. Marko has a background in psychology and cognitive science (Ph.D.), logic and philosophy of science (M.A.) and philosophy (B.A.).
RECENT PUBLICATIONS
- Rafael Fuchs, Marko Tesic, Ulrike Hahn,(2024) Testing the maximum entropy approach to awareness growth in Bayesian epistemology and decision theory, Proceedings of the 46th Annual Conference of the Cognitive Science Society
- Marko Tesic, Ulrike Hahn,(2023) The impact of explanations as communicative acts on belief in a claim: The role of source reliability, Cognition
- Ulrike Hahn, Marko Tesic,(2023) Argument and explanation, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences
- Marko Tesic, Ulrike Hahn,(2022) Can counterfactual explanations of AI systems’ predictions skew lay users’ causal intuitions about the world? If so, can we correct for that?, Patterns
- Marko Tesic, Ulrike Hahn,(2021) Explanation in AI systems, Human-Like Machine Intelligence
- Marko Tesic, Alice Liefgreen, David Lagnado,(2020) The propensity interpretation of probability and diagnostic split in explaining away, Cognitive Psychology
- Cruz, N., Desai, S.C., Dewitt, S., Hahn, U., Lagnado, D., Liefgreen, A., Phillips, K., Pilditch, T., Tešić, M.,(2024) Widening Access to Bayesian Problem Solving, Frontiers in Psychology
- Alice Liefgreen, Marko Tesic,(2019) Explaining away and the propensity interpretation of probability: The case of unequal priors, Proceedings of the 3rd European Conference on Argumentation
- Tešić, M.,(2024) Confirmation and the generalized Nagel–Schaffner model of reduction: a Bayesian analysis, Synthese
- Marko Tesic, Ulrike Hahn,(2024) Sequential diagnostic reasoning with independent causes, Proceedings of the 41th Annual Conference of the Cognitive Science Society
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