tag:jose.theoj.org,2005:/papers/by/Kacper%20SokolJournal of Open Source Education2022-12-06T16:29:04ZJournal of Open Source Educationhttps://jose.theoj.orgtag:jose.theoj.org,2005:Paper/1642022-12-06T16:29:04Z2023-06-20T00:00:38ZWhat and How of Machine Learning Transparency:
Building Bespoke Explainability Tools with
Interoperable Algorithmic Componentsaccepted2020-ecml-pkdd2022-04-09 06:00:55 UTC582022-12-06 16:29:04 UTC52022175KacperSokolIntelligent Systems Laboratory, University of Bristol, United Kingdom, ARC Centre of Excellence for Automated Decision-Making and Society,
RMIT University, Australia0000-0002-9869-5896AlexanderHepburnIntelligent Systems Laboratory, University of Bristol, United Kingdom0000-0002-2674-1478RaulSantos-RodriguezIntelligent Systems Laboratory, University of Bristol, United Kingdom0000-0001-9576-3905PeterFlachIntelligent Systems Laboratory, University of Bristol, United Kingdom0000-0001-6857-581010.21105/jose.00175https://doi.org/10.5281/zenodo.7229153Jupyter Notebook, Pythonhttps://jose.theoj.org/papers/10.21105/jose.00175.pdfTransparency, Explainability, Interpretability, Surrogate Explainers, Tabular Data, Artificial Intelligence, Machine Learning, Hands-on, Tutorial