Mind the gap: machine learning systems and the passage of time
Changing societal values raise important questions about how we design predictive algorithms.
Writing for The Alan Turing Institute blog, Sylvie Delacroix Professor in Law and Ethics at The Institute for Interdisciplinary Data Science and AI, examines the problem of 'concept drift' in machine learning. This is where an Artificial Intelligence (AI) system is deployed in a setting whose characteristics are too distant from those of the training, validation and testing datasets it was developed, with unpredictable consequences.
Find out more
The Alan Turing Institute - Mind the gap: machine learning systems and the passage of time