ML-Based Feature Importance Estimation for Predicting Unethical Behaviour under Pressure

Pablo Rivas (1, 2) , Pamela J Harper (1) , John C Cary (1) , William S Brown (1)

1 Marist College
2 School of Computer Science and Mathematics, Marist College

We studied the utility of using machine learning algorithms in the estimation of feature importance and to visualize their dependence on Ethicality. Through our analysis and partial dependence plot we found linear relationships among variables and gained insight into features that might cause certain types of ethical behaviour.

Domaines: Ethique; Machine Learning [stat.ML]; Apprentissage [cs.LG]; Intelligence artificielle [cs.AI]; Ordinateur et société [cs.CY]; Milieux et Changements globaux

Pablo Rivas, Pamela J Harper, John C Cary, William S Brown. ML-Based Feature Importance Estimation for Predicting Unethical Behaviour under Pressure. LatinX in AI Research at ICML 2019, Jun 2019, Long Beach, CA, United States. ⟨hal-02264914⟩