{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/counterfactually-fair-prediction-using","title":"Counterfactually Fair Prediction Using Multiple Causal Models","arxiv_id":"1810.00694","date":"2018-10-01","proceeding":null,"authors":["Fabio Massimo Zennaro","Magdalena Ivanovska"],"abstract":"In this paper we study the problem of making predictions using multiple\nstructural casual models defined by different agents, under the constraint that\nthe prediction satisfies the criterion of counterfactual fairness. Relying on\nthe frameworks of causality, fairness and opinion pooling, we build upon and\nextend previous work focusing on the qualitative aggregation of causal Bayesian\nnetworks and causal models. In order to complement previous qualitative\nresults, we devise a method based on Monte Carlo simulations. This method\nenables a decision-maker to aggregate the outputs of the causal models provided\nby different experts while guaranteeing the counterfactual fairness of the\nresult. We demonstrate our approach on a simple, yet illustrative, toy case\nstudy.","url_abs":"http://arxiv.org/abs/1810.00694v1","url_pdf":"http://arxiv.org/pdf/1810.00694v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"counterfactually-fair-prediction-using","repo_url":"https://github.com/FMZennaro/Fair-Pooling-Causal-Models","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"tf","reach":null}],"tasks":[{"task_slug":"fairness","task_name":"Fairness"},{"task_slug":"prediction","task_name":"Prediction"},{"task_slug":null,"task_name":"counterfactual"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}