Tootfinder

We all perform tasks in our day-to-day work that are considered 'non-promotable' – these are crucial for project success, but they won't get you promoted. This is commonly known as 'glue work', a term coined by Tanya Reilly. At Berlin Buzzwords 2025, Fatima Taj shared her personal experience of narrowly avoiding the trap of being permanently stuck with glue work and explained how to handle similar situations.
Watch the full session: https://youtu.be/YJE8x6vzTCA?si=aE4Ogrp9t_oHdlhZ

On Trustworthy Rule-Based Models and Explanations
Mohamed Siala, Jordi Planes, Joao Marques-Silva
https://arxiv.org/abs/2507.07576 https://

On Trustworthy Rule-Based Models and Explanations
A task of interest in machine learning (ML) is that of ascribing explanations to the predictions made by ML models. Furthermore, in domains deemed high risk, the rigor of explanations is paramount. Indeed, incorrect explanations can and will mislead human decision makers. As a result, and even if interpretability is acknowledged as an elusive concept, so-called interpretable models are employed ubiquitously in high-risk uses of ML and data mining (DM). This is the case for rule-based ML models,…