Talks

Upcoming

November 2023. TBA. VUKIM – Trust and Opacity in Artificial Intelligence: Perspectives from Epistemology, Ethics, and Political Philosophy – Universität Dresden. (Keynote speaker)

October 2023. “Computational reliabilism and the chances for an epistemology of ML.” Artificial Intelligence, Trustworthiness and Explainability AITE – Tübingen Universität. (Keynote speaker)

October 2023. TBA. HLRS – University of Stuttgart. (Keynote speaker)

September 2023. In search for an epistemology for Machine Learning”. European Philosophy of Science Association (EPSA). Kolarac People’s University Building.

Past talks (shortlist)

August 2023. “Responsible Data Science: what is it and why do we want it?”. Summer School “Responsible data science for society: Models, Algorithms, Trustworthy AI” – SoBigData++ (Keynote speaker)

July 2023 Computational reliabilism and transparency: shortcomings and prospects” Panelist Symposium: “CoPhiTES-PhilML: Philosophy of Science for Machine Learning” – DLMPST Buenos Aires 2023

September 2022. “Thinking outside of the (black) box: Computational Reliabilism and epistemic trust”. Issues in XAI §5 – Dortmund Universität. (Keynote speaker)

July 2022. “Where is technology in the philosophy of science in practice?” Panelist: “The philosophical novelty of technology. Society for Philosophy of Science in Practice” – Ninth Biennial SPSP — Ghent 2022

June 2022. “Building reliance in machine learning through Computational Reliabilism” – Italian Society for Logic and Philosophy of Science (SILFS). Universita degli Studi di Milano-Bicocca. Italy. (Keynote speaker)

June 2022. “What is reliable machine learning?”. Netherlands Forensic Institute.

September 2021. 4th Conference on ”Philosophy and Theory of Artificial Intelligence”, University of Gothenburg.

July 2021. 38. CEPE/IACAP Joint Conference 2021: The Philosophy and Ethics of Artificial Intelligence, Universita ̈t Hamburg. With Giorgia Pozzi.

June 2021. “Jutificación y creencia en Machine Learning”. Universidad Autónoma de México.

May 2021. “But… is it credible? Computational reliabilism for ML”. Issues in XAI §2: Understanding and Explaining in Healthcare, Leverhulme Centre for the Future of Intelligence, University of Cambridge.