EAA Web Session: ML Explainability in Actuarial Data Science: A Practical Primer
These days, nobody disputes the profound impact and yet-untouched potential of Machine Learning and Artificial Intelligence anymore. Yet, in the actuarial sciences, these breakthrough possibilities are hampered by regulation, the need for numerical confidence and insight into model decision making, the latter being subsumed as a "black box problem". Thus, the quest for explainability is […]