2024
- November 2024 (Edinburgh): Artificial Intelligence, Measured for Safety -- Towards an actionable science of AI metrology
- November 2024 (Data Science and Statistics Webinar, Porto): Explainable Artificial Intelligence, Explained
- September 2024 (Data Makers Fest 2024, Porto): From data mining processes to data science trajectories
- June 2024 (Sabine Krolak Schwerdt lecture, Luxembourg): Data Science in the time of AI: why AI isn't solved, and how Data Science can help
- April 2024 (National Physical Laboratory): Artificial Intelligence, Measured for Safety -- Towards an actionable science of AI metrology
- February 2024 (ELLIS Workshop: Semantic, Symbolic and Interpretable Machine Learning): Towards interpretable performance evaluation in machine learning
2023
- November 2023 (Keynote at 1st International Conference on Data Science and Artificial Intelligence): Explainable Artificial Intelligence, Explained
- November 2023 (Workshop on Verifiable and Robust AI): Thoughts on Verifiable and Robust Performance Evaluation
- July 2023 (Keynote at 1st World Conference on eXplainable Artificial Intelligence): Thoughts on explainability
- May 2023 (Nightingale Colloquium, Leiden): AI in the time of chatGPT -- is AI solved?
- February 2023 (Munich AI Lectures): The Highs and Lows of Performance Evaluation
2022
- December 2022 (Monash): The Highs and Lows of Performance Evaluation
- October 2022 (Leuven): The Highs and Lows of Performance Evaluation
- April 2022 (ECIR'22 keynote): Empirical Evaluation of Predictive Models: A Matter of Scales and Means
2021
- October 2021 (Nightingale Colloquium, Leiden): The Highs and Lows of Performance Evaluation
- October 2021 (Jean Golding Institute, Bristol): Towards Measurement Theory for Artificial Intelligence and Data Science
2020
- October 2020 (Discovery Science '20 invited talk): The Highs and Lows of Performance Evaluation
- January 2020 (Turing Institute): More Transparency through Better Performance Measurement