{"title":"除了透明","authors":"Janelle Berscheid, F. Roewer-Després","doi":"10.1145/3340470.3340476","DOIUrl":null,"url":null,"abstract":"Transparency in decision-making AI systems can only become actionable in practice when all stakeholders share responsibility for validating outcomes. We propose a three-party regulatory framework that incentivizes collaborative development in the AI ecosystem and guarantees fairness and accountability are not merely afterthoughts in high-impact domains.","PeriodicalId":91445,"journal":{"name":"AI matters","volume":"5 1","pages":"13 - 22"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1145/3340470.3340476","citationCount":"18","resultStr":"{\"title\":\"Beyond transparency\",\"authors\":\"Janelle Berscheid, F. Roewer-Després\",\"doi\":\"10.1145/3340470.3340476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Transparency in decision-making AI systems can only become actionable in practice when all stakeholders share responsibility for validating outcomes. We propose a three-party regulatory framework that incentivizes collaborative development in the AI ecosystem and guarantees fairness and accountability are not merely afterthoughts in high-impact domains.\",\"PeriodicalId\":91445,\"journal\":{\"name\":\"AI matters\",\"volume\":\"5 1\",\"pages\":\"13 - 22\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-08-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1145/3340470.3340476\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"AI matters\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3340470.3340476\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"AI matters","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3340470.3340476","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Transparency in decision-making AI systems can only become actionable in practice when all stakeholders share responsibility for validating outcomes. We propose a three-party regulatory framework that incentivizes collaborative development in the AI ecosystem and guarantees fairness and accountability are not merely afterthoughts in high-impact domains.
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