Research

My research interests include the ethical and social issues of algorithmic decision-making at both individual and collective level. I’m also interested in studying AI from the point of view of epistemology and the philosophy of science (e.g. some topics of interest include the problem of induction, the problem-solving approach and the notion of progress). Currently I’m involved in the AI4EU project, an EU funded project that aims at creating an European AI ecosystem. In particular, I’m contributing to the creation and curation of the AI4EU Observatory and the coordination of a working group dealing with ethics and AI.

Publications, working papers and reports

Scantamburlo, T. (2021) “Non-Empirical Problem in Fair Machine Learning”, Ethics and Information Technology, Springer. 10.1007/s10676-021-09608-9 ISSN 1572-8439 (open access)

Scantamburlo, T., Cortés, A., Dewitte, P., Van Der Eycken, D., De Wolf, R., and Martens, M. (2021) “Covid-19 and tracing methodologies: A lesson for the future society”, Health and Technology, Springer, 10.1007/s12553-021-00575-1 ISSN 2190-7196 (open access)

Foffano, F., Scantamburlo, T., Cortés, A., and Bissolo, C. (2020), “European strategy on AI: Are we truly fostering social good?”, IJCAI 2020 Workshop on AI for Social Good, 7-8 January 2021 – virtual event (available on arXiv)

Scantamburlo, T., Cortés, A., Schacht, M., Progressing Towards Responsible AI, 1st International Workshop on Evaluating Progress in Artificial Intelligence, European Conference in Artificial Intelligence – ECAI 2020, Santiago de Compostela, 4th September 2020 – virtual event (available on arXiv)

Scantamburlo, T., Steels, L., Cortes, A., and Cortes, U. (2019) Report on the AI4EU Observatory (Deliverable_AI4EU_D5.1)

Cristianini, N., Ladyman, J. and Scantamburlo, T. (2019) “Social Machinery and Intelligence” (in progress, draft available on PhilPapers)

Cristianini, N., Scantamburlo, T. “On social machines for algorithmic regulation”. AI & Soc (2019). https://doi.org/10.1007/s00146-019-00917-8 (open access)

Scantamburlo T., Charlesworth A. and Cristianini N. (2019).  “Machine decisions and human consequences”. In K. Yeung & M. Lodge (eds) Algorithmic Regulation. Oxford: Oxford University Press (the draft accepted for publication is available on arXiv)

Scantamburlo T., “Machine learning in decisional process. A philosophical perspective” (2015), ACM Digital Library, special issue of the ACM SIGCAS newsletter, 45(3), 2015, pp. 218-224

Pelillo M., Scantamburlo T., Schiaffonati V., “Pattern Recognition between Science and Engineering: A Red Herring?”, Pattern Recognition Letters, Special Issue on Philosophical Aspects of Pattern Recognition, vol 64, 2015, pp. 3-10

Pelillo M., Scantamburlo T. (2013) “How Mature Is the Field of Machine Learning?”. In: Baldoni M., Baroglio C., Boella G., Micalizio R. (eds) AI*IA 2013: Advances in Artificial Intelligence. AI*IA 2013. Lecture Notes in Computer Science, vol 8249, pp. 121-132

Workshops and Tutorials

In 2018 I was invited to speak at the workshop on Decision Theory & the Future of Artificial Intelligence, Ludwig Maximilian University of Munich (Germany), 27-28 July 2018

In 2018 I presented my work at the ThinkBIG workshop “Ethical and Social Challenges posed by Artificial Intelligence“, Cumberland Lodge, Windsor (UK), 25 June 2018

In 2018 I was invited to speak at the workshop “Philosophy of machine learning: knowledge and causality“, University of California, Irvine, 17-18 March 2018

In 2016 I co-organised with Marcello Pelillo an interdisciplinary workshop entitled “The Human Use of Machine Learning“, hosted at the European Centre for Living Technology (ECLT), Venice (Italy), 16 December 2016

In 2016 I held a tutorial on the epistemological and ethical aspects of machine learning with Marcello Pelillo at the ECML-PKDD 2016, Riva del Garda (Italy), 19 September 2016