Sonja GeorgievskainNetherlands eScience CenterThe hidden dangers of using XAI carelesslyCongrats! Your ML model is finally XAI-ready. But before you start patting yourself on the back, have you pre-processed your features? If…Feb 23, 2023Feb 23, 2023
Sonja GeorgievskainNetherlands eScience CenterReusable software in the era of AI: why sometimes you must reinvent the wheelMaking your AI software reusable? Fine, but at what costs?May 13, 2022May 13, 2022
Sonja GeorgievskainNetherlands eScience CenterSmall-scale initiative in Machine Learning 2021: how did it go?Introducing a series of blog posts on our collaborative projects in machine learningJan 28, 2022Jan 28, 2022
Sonja GeorgievskainNetherlands eScience CenterMachine learning: when it is easy & when it is difficultA crash course in machine learning; only high-school level of math is required before reading.Jun 18, 2020Jun 18, 2020
Sonja GeorgievskainNetherlands eScience CenterWhy AI will not replace expertsForget about “responsible AI” for a moment. Data, not AI, is the product, and it needs quality control.Mar 3, 2020Mar 3, 2020
Sonja GeorgievskainNetherlands eScience CenterForcing science with brute force deep learningThe downsides of a success storyFeb 26, 2020Feb 26, 2020
Sonja GeorgievskainNetherlands eScience CenterTurning a panda into a cat?!Why adversarial examples are not scary…but are most likely usefulJun 20, 2019Jun 20, 2019
Sonja GeorgievskainNetherlands eScience CenterExplainable AI: exit or infinite loop?Let us simplify before we try to explainJun 12, 2019Jun 12, 2019
