Under Review and Pre-Prints:
Books:
Barbiero, P., Zarlenga, M. E., Termine, A., Jamnik, M., & Marra, G. Foundations of Interpretable Models. Under contract with Cambridge University Press.
Journal Publications:
Regular and Short Papers published in Conference Proceedings:
Ferrario, A., Termine, A., & Facchini, A. (2025). Social Misattributions in Conversations with Large Language Models. Available at SSRN 5073653. Accepted at AEIS 2025.
Termine, A., Antonucci, A., Facchini, A. (2023) Machine Learning Explanations by Surrogate Causal Models (MaLESCaMo). In 1st XAI World Conference, XAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings (late-breaking works and demo). Communications in Computer and Information Science, Cham: Springer International Publishing.
Book Chapters:
Termine, A., & Primiero, G. (2024). Causality Problems in Machine Learning Systems. in Routledge Handbook of Causality and Causal Methods, F. Russo and P. Illari, Eds., Routledge, forthcoming.
Publications in Italian:
Facchini, A., & Termine, A. (2021). Intelligenza artificiale e metodo scientifico: può l'IA sostituire l'intuizione umana nel processo di scoperta scientifica?. Rivista Teologica di Lugano, 26(3), 11-28.
Other Publications:
*Equal contribution, Alphabetic order.
Incoming Talks:
No incoming talks at the moment.
Talks at International Peer-Reviewed Conferences:
November 2024: Biennal Conference of the Philosophy of Science Association (PSA 2024): "Machine Learning and Theory Ladenness: A Phenomenological Account". New-Orleans, US.
July 2024: 2nd World Conference on Explainable Artificial Intelligence (XAI 2024): Special Track on "Generative Explainable AI and Verifiability." organised together with Francesco Sovrano (UniZH) and Tim Miller (University of Queensland). Mediterranean Conference Center, La Valletta, Malta.
May 2024: 10th Biennial Conference of the Society for Philosophy of Science in Practice: ''Explainability with Large Language Models: the Meta-Explainability Problem''. Ann Johnson Institute for Science, Technology and Society, University of South Carolina, Columbia, South Carolina, US.
September 2023: European Philosophy of Science Association Biennial Meeting (EPSA 2023), Belgrade, Serbia, "XAI as mediator: the role of Explainable AI in Scientific Research"; part of the symposium "Explainable AI in Scientific Research" co-organized with: Alessandro Facchini (IDSIA USI-SUPSI), Lena Kästner (Bayreuth), Carlos Zednick (Eindhoven University of Technology), Barnaby Crook (Bayereuth), Emanuele Ratti (Bristol), Hajo Greif (Warsaw University of Technology);
July 2023: 1st International Conference on eXplainable Artificial Intelligence (XAI Conference), Lisbon, Portugal, "Machine Learning Explanation by Surrogate Causal Models (MaLESCaMo)", late-breaking work and demos track;
July 2022: 9th biennal meeting of the Society for the Philosophy of Science in Practice (SPSP): "Beyond Hypotheses-driven and data-driven biology through Explanaibale AI: a proposal", University of Ghent, Ghent, Belgium. Part of the symposium "Opacity and Explainability in data-centric science" co-organized together with: Alessandro Facchini (IDSIA, Lugano) and Hans Joachim Greif (Warsaw Univrsity of Technology).
April 2022: 4th workshop on Scientific Understanding and Representation (SURe): "Can Explainable AI safeguard scientific understanding? Towards an XAI-related hybrid approach to scientific research" Fordham Univeristy, New York City, NY (US).
March 2022: International Spring School in the History, Philosophy and Sociology of Large Physics Experiments, "Countering Epistemic Opacity in data-centric science through eXplainable AI" University of Wuppertal, Wuppertal, Germany.
October 2021: The Eight International Conference on Logic, Rationality and Interaction, LORI VIII, "Modelling Accuracy and Trustworthiness of Explaining Agents".
September 2021: International Conference on Philosophy and Theory of AI, PT-AI 2021, "A Taxonomy of Model Opacity for the XAI Practitioner".
September 2021: International Conference of the Italian Society for Analytic Philosophy, SIFA 2021, "The Contextual View of Model Opacity and the Methodology of Explainable AI".
July 2021: Logic Colloquium 2021, "Modelling depth-bounded Boolean reasoning with Markov decision processes and reinforcement learning".
July 2021: International Symposium of Imprecise Probabilities: Theories and Applications, ISIPTA 2021, "Robust Model Checking with Imprecise Markov Reward Models".
June 2021: European Conference on Multi Agent Systems, "Logic and Model Checking by Imprecise Probabilistic Interpreted Systems".
June 2020: CiE International Conference, "PCTL for Aleatoric and Epistemic Uncertainty" (informal presentation).
December 2019: AISC Annual Meeting, "Epistemological Reflection on Bayesian Modelling in Neuroscience".
May 2019: SINE-INS International Conference on the future of Neuroethics, "Is the Brain a Bayesian Machine?".
Talks as Invited Speaker:
September 2024: "Innovating with AI: The Next Frontier in Science & Research". Higher Education Institutions Conference. Invited Panelist in a Panel Discussion, organised by Zagreb School of Economics and Management, hosted by Dubrovnik Palace Hotel, Dubrovnik.
May 2024: "Addressing the Social Attribution of Large Language Models: A Social Transparency Approach". Invited Talk, Digital Society Initiative. University of Zürich.
April 2024: Explainability with Large Language Models: Opportunities, Challenges and Risks. Inveted Lecture, University of Bayreuth (https://www.uni-bayreuth.de/bayreuth-lectures#4b1a3234).
September 2022: "The causal opacity of deep learning". Workshop organized online.
September 2022: "Should physicians follow the recommendations of AI experts?". Part of the workshop "To trust or not to trust: when should AI be allowed to make decisions?". EPFL, Lausanne, Switzerland.
March 2022: "Model Checking Multi Agent Systems with Imprecise Probabilities", LUCI Group, Department of Phiosophy, University of Milan, Milan, Italy.
October 2021: "Pragmatic Opacity: A Taxonomy", Philosophy of AI Research Group, University of Zurich.