{"title":"基于ml的特征重要性估计预测压力下的不道德行为","authors":"Pablo Rivas, P. Harper, John Cary, William Brown","doi":"10.52591/lxai201906155","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":402227,"journal":{"name":"LatinX in AI at International Conference on Machine Learning 2019","volume":"79 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"ML-Based Feature Importance Estimation for Predicting Unethical Behaviour under Pressure\",\"authors\":\"Pablo Rivas, P. Harper, John Cary, William Brown\",\"doi\":\"10.52591/lxai201906155\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":402227,\"journal\":{\"name\":\"LatinX in AI at International Conference on Machine Learning 2019\",\"volume\":\"79 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"LatinX in AI at International Conference on Machine Learning 2019\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.52591/lxai201906155\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"LatinX in AI at International Conference on Machine Learning 2019","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.52591/lxai201906155","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
ML-Based Feature Importance Estimation for Predicting Unethical Behaviour under Pressure
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.
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