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DOI: 10.4121/1e71138c-be26-4652-971a-48a84837df8e

Liscio, Enrico; Araque, Oscar; Gatti, Lorenzo; Constantinescu, Ionut; C.M. (Catholijn) Jonker et. al. (2023): What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric - code. Version 1. 4TU.ResearchData. software. https://doi.org/10.4121/1e71138c-be26-4652-971a-48a84837df8e.v1

Categories

• Artificial Intelligence and Image Processing
• Information and Computing Sciences

Keywords

Ethics explainable artificial intelligence Morality natural language processing NLP XAI

Licence

MIT

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by Enrico Liscio , Oscar Araque , Lorenzo Gatti , Ionut Constantinescu , C.M. (Catholijn) Jonker , Kyriaki Kalimeri , Pradeep K. Murukannaiah

Code for the paper "What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric", published at ACL '23. This code implements Tomea, an Explainable AI method for investigating the difference in how language models represent morality across domains. Given a pair of datasets and models trained on the datasets, Tomea generates 10 m-distances and one d-distance to measure the difference between the datasets, based on the SHAP method. We make pairwise comparisons of seven models trained on the MFTC datasets (available at this DOI: 10.4121/646b20e3-e24f-452d-938a-bcb6ce30913c).

History

• 2023-12-18 first online, published, posted

Publisher

4TU.ResearchData

Format

Python code

Associated peer-reviewed publication

What does a Text Classifier Learn about Morality? An Explainable Method for Cross-Domain Comparison of Moral Rhetoric

Funding

• Hybrid Intelligence Center (a 10-year programme funded by the Dutch Ministry of Education, Culture and Science through the Netherlands Organisation for Scientific Research).
• European Union's Horizon 2020 research and innovation program (grant code STG–677576) European Research Council

Organizations

TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science, Department of Intelligent Systems
Universidad Politécnica de Madrid, Departamento de Ingeniería de Sistemas Telemáticos
University of Twente, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Human Media Interaction (HMI)
ETH Zürich Department of Computer Science,
ISI Foundation, Data Science Laboratory
Leiden University, Leiden Institute of Advanced Computer Science