CV

on CV

Sander Beckers

Curriculum Vitae

Google Scholar page

Contact

E-mail: srekcebrednas@gmail.com

Employment

Education

Grants, Fellowships, and Awards

Refereeing

AAAI (2017, 2020, 2021, 2022, 2023, 2024), AI & Society, AIES conference (2024), AIStats 2022, Analysis (2), Australasian Journal of Logic, CLeaR (2024, 2025), Dialectica, Ergo, Erkenntnis (6), Ethics and Information Technology (2), European Journal for Philosophy of Science (2), FaccT (2023), Information, IJCAI (2020), Journal of Causal Inference, Journal of Machine Learning Research (2), Journal of Philosophical Logic (2), Journal of Philosophy, Journal of Social Philosophy, Kriterion, Mind, Minds and Machines (3), NeurIPS (2023, 2024), Philosophical Studies (2), Philosophy and Theory of Artificial Intelligence, Philosophy of Science, Synthese (6), Review of Symbolic Logic, The Philosophical Review, UAI (2024), Various AI workshops for AAAI, NeurIPS, ICML, etc.

Research

Main Publications

Belle, V., Chockler, H., Vallor, S., Varshney, K.R., Vennekens, J., and Beckers, S. (2024). Trustworthiness and Responsibility in AI - Causality, Learning and Verification (Dagstuhl Seminar 24121) Dagstuhl Reports.

Beckers, S., Chockler, H., and Halpern, J.Y. (2024). A Causal Analysis of Harm, Minds and Machines.

Beckers, S. (forthcoming). What Does it Take to Make a Difference? Reply to Andreas and Günther, Journal of Philosophy.

Beckers, S. (2023). Moral Responsibility for AI Systems, NeurIPS 2023.

Beckers, S., Chockler, H, and Halpern, J.Y. (2023). Quantifying Harm, IJCAI 2023.

Beckers, S., Halpern, J.Y., and Hitchcock, C. (2023). Causal Models with Constraints, CLeaR 2023.

von Kügelgen, J., Mohamed, A., and Beckers, S. (2023). Backtracking Counterfactuals, CLeaR 2023.

Beckers, S., Chockler, H, and Halpern, J.Y. (2022). A Causal Analysis of Harm, NeurIPS 2022.

Beckers, S. (2022). Causal Explanations and XAI, Causal Learning and Reasoning 2022.

Beckers, S. (2021). Causal Sufficiency and Actual Causation, Journal of Philosophical Logic.

Beckers, S. (2021). The Counterfactual NESS Definition of Causation, AAAI 2021.

Beckers, S. (2021). Equivalent Causal Models, AAAI 2021.

Beckers, S., Eberhardt, F., and Halpern, J.Y. (2019). Approximate Causal Abstraction, UAI 2019.

Beckers, S. and Halpern, J.Y. (2019). Abstracting Causal Models, AAAI 2019.

Beckers, S. (2018). AAAI: an Argument Against Artificial Intelligence, In Vincent C. Müller (ed.), Philosophy of Artificial Intelligence 2017.

Beckers, S., and Vennekens, J. (2018). A Principled Approach to Defining Actual Causation, Synthese.

Beckers, S., and Vennekens, J. (2017). The Transitivity and Asymmetry of Actual Causation, Ergo.

Beckers, S., and Vennekens, J. (2016). A General Framework for Defining and Extending Actual Causation using CP-logic, International Journal for Approximate Reasoning.

Other Publications

Beckers, S. (2017). AAAI: an Argument Against Artificial Intelligence, AAAI Workshop on AI, Ethics and Society 2017.

Beckers, S., and Vennekens, J. (2015). Towards a General Definition of Actual Causation Using CP-logic. ICLP Workshop on Probabilistic Logic Programming 2015.

Beckers, S., and Vennekens, J. (2015). Combining Probabilistic, Normative, and Causal Reasoning in CP-logic, Symposium on Logical Formalizations of Commonsense Reasoning 2015.

Beckers, S., and Vennekens, J. (2012). Counterfactual Dependency and Actual Causation in CP-logic and Structural Models: a Comparison. _STAIRS 2012.

Beckers, S., De Samblanx, G., De Smedt, F., Goedemé, T., Struyf, L., and Vennekens, J. (2012). Parallel hybrid SAT solving using OpenCL. BNAIC 2012

Beckers, S., De Samblanx, G., De Smedt, F., Goedemé, T., Struyf, L., and Vennekens, J. (2011). Parallel SAT-solving with OpenCL. IADIS International Conference on Applied Computing 2011.

Talks

Invited Talks and Colloquia (regular Conference Talks not included)

2024 ‘A Causal Analysis of Harm’, colloquium, Munich Center for Mathematical Philosophy

2024 ‘Causal Abstractions using Generalized Functions’, Invited speaker, Causal Abstraction, Reasoning, and Extrapolation seminar (online)

2024 ‘Moral Responsibility for AI Systems’, Dagstuhl Seminar on Trustworthiness and Responsibility in AI

2023 ‘What Does It Take To Make A Difference? A Reply to Andreas and Günther’, Invited speaker, PALLMYR, University College London

2023 ‘Moral Responsibility for AI Systems’, Invited speaker, Amsterdam Causality Meeting

2023 ‘Backtracking Counterfactuals’, Invited speaker, Artificial Intelligence, Causality, and Personalised Medicine Symposium, Leibniz AI Lab

2023 ‘Backtracking Counterfactuals’, Invited speaker, Kyoto Causation Workshop, Kyoto University

2023 ‘A Causal Analysis of Harm’, Invited speaker, SIKS course on Human-Centered AI, Utrecht

2023 ‘A Causal Analysis of Harm’, Invited speaker, Causality in Practice, Institute Pascal, Paris

2023 ‘Backtracking Counterfactuals’, Invited speaker, Inspiration Sessions, SAP (online)

2023 ‘Causal Sufficiency and Actual Causation’, Invited speaker, Workshop on Causation and Modality in Logic and Language, University of Amsterdam

2023 ‘Abstracting Causal Models’, Invited speaker, Causality Discussion Group (online)

2022 ‘Causal Abstractions and Causal Representation Learning’, Invited speaker, First Workshop on Causal Representation Learning, UAI, Eindhoven

2022 ‘Causal Sufficiency and Actual Causation’, Invited speaker, Online Causal Inference Seminar (online)

2021 ‘The Causal and Epistemic Conditions for Moral Responsibility,’, Invited speaker, Christian List’s Research Seminar, LMU-Munich (online)

2021 ‘Causal Sufficiency and Actual Causation’, Invited speaker, Logic Seminar, University of Milan (online)

2021 ‘Reflections on the Causal Approach to Fair AI’, Invited speaker, AI Challenges to Established Legal Institutions Roundtable Conference, Monash University (online)

2021 ‘Actual Causation and Moral Responsibility’, Invited speaker, Cognition, Values, and Behaviour Lab Meetings, LMU-Munich, Germany (online)

2020 ‘Accountability in medical autonomous systems: ethical and epistemological challenges for explainable AI’, NIAS Theme group, NIAS seminar, Amsterdam, the Netherlands (online)

2020 ‘Formalizing Non-Reductive Supervenience using Causal Models with Constraints’, Invited speaker, Symposium on Interventionism and Causal Exclusion, Nijmegen, the Netherlands

2019 ‘Causation and the Principle of Alternative Possibilities’, Invited speaker, Free Will and Causality conference, Dusseldorf, Germany

2018 ‘Applying Causal Modeling to Philosophical Issues’, Invited talk, Logic and Metaphysics Workshop, CUNY

2017 ‘Formal Ethics’, Invited talk, Center for Human-Compatible AI, UC Berkeley

2015 ‘A Principled Approach to Defining Actual Causation’, Invited talk, Tilburg Center for Logic, Ethics, and Philosophy of Science, the Netherlands

2015 ‘The Problem of Actual Causation’, Epistemology Reading Group, Department of Linguistics and Philosophy, MIT

2014 ‘Actual Causation using CP-logic’, Declarative Languages and AI seminar, University of Leuven, Belgium

2013 ‘Actual Causation using CP-logic’, colloquium, Munich Center for Mathematical Philosophy

2013 ‘Actual Causation: the CP-logic Approach’, Invited talk, INRIA, Grenoble, France

2013 ‘Actual Causation in Cases of Preemption: the CP-logic Approach’, Center for Logic and Analytic Philosophy colloquium, University of Leuven, Belgium

2012 ‘Parallel hybrid SAT solving using OpenCL’, Declarative Languages and AI seminar, University of Leuven, Belgium

Teaching

University of Amsterdam

Utrecht University

University of Leuven

University of Leuven

Languages