Group Shapley with Robust Significance Testing and Its Application to Bond Recovery Rate Prediction

no code implementations • 6 Jan 2025 • Jingyi Wang, Ying Chen, Paolo Giudici

We propose Group Shapley, a metric that extends the classical individual-level Shapley value framework to evaluate the importance of feature groups, addressing the structured nature of predictors commonly found in business and economic data.

Feature Importance

A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms

no code implementations • 1 Jul 2024 • Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici, Delaram Golpayegani, Julio Hernandez, Pierre Noro, Harshvardhan Pandit, Eva Paraschou, Charlie Pownall, Jyoti Prajapati, Mark A. Sayre, Ushnish Sengupta, Arthit Suriyawongkul, Ruby Thelot, Sofia Vei, Laura Waltersdorfer

This paper introduces a collaborative, human-centred taxonomy of AI, algorithmic and automation harms.