{"title":"人工智能设计的倒退","authors":"Pamela Robinson","doi":"10.1007/s11098-024-02176-w","DOIUrl":null,"url":null,"abstract":"<p>How should we design AI systems that make moral decisions that affect us? When there is disagreement about which moral decisions should be made and which methods would produce them, we should avoid arbitrary design choices. However, I show that this leads to a regress problem similar to the one metanormativists face involving higher orders of uncertainty. I argue that existing strategies for handling this parallel problem give verdicts about where to stop in the regress that are either too arbitrary or too difficult to implement. I propose a new strategy for AI designers that is better than these alternatives.</p>","PeriodicalId":48305,"journal":{"name":"PHILOSOPHICAL STUDIES","volume":null,"pages":null},"PeriodicalIF":1.1000,"publicationDate":"2024-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The AI-design regress\",\"authors\":\"Pamela Robinson\",\"doi\":\"10.1007/s11098-024-02176-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>How should we design AI systems that make moral decisions that affect us? When there is disagreement about which moral decisions should be made and which methods would produce them, we should avoid arbitrary design choices. However, I show that this leads to a regress problem similar to the one metanormativists face involving higher orders of uncertainty. I argue that existing strategies for handling this parallel problem give verdicts about where to stop in the regress that are either too arbitrary or too difficult to implement. I propose a new strategy for AI designers that is better than these alternatives.</p>\",\"PeriodicalId\":48305,\"journal\":{\"name\":\"PHILOSOPHICAL STUDIES\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2024-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"PHILOSOPHICAL STUDIES\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1007/s11098-024-02176-w\",\"RegionNum\":1,\"RegionCategory\":\"哲学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"0\",\"JCRName\":\"PHILOSOPHY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"PHILOSOPHICAL STUDIES","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1007/s11098-024-02176-w","RegionNum":1,"RegionCategory":"哲学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"PHILOSOPHY","Score":null,"Total":0}
How should we design AI systems that make moral decisions that affect us? When there is disagreement about which moral decisions should be made and which methods would produce them, we should avoid arbitrary design choices. However, I show that this leads to a regress problem similar to the one metanormativists face involving higher orders of uncertainty. I argue that existing strategies for handling this parallel problem give verdicts about where to stop in the regress that are either too arbitrary or too difficult to implement. I propose a new strategy for AI designers that is better than these alternatives.
期刊介绍:
Philosophical Studies was founded in 1950 by Herbert Feigl and Wilfrid Sellars to provide a periodical dedicated to work in analytic philosophy. The journal remains devoted to the publication of papers in exclusively analytic philosophy. Papers applying formal techniques to philosophical problems are welcome. The principal aim is to publish articles that are models of clarity and precision in dealing with significant philosophical issues. It is intended that readers of the journal will be kept abreast of the central issues and problems of contemporary analytic philosophy.
Double-blind review procedure
The journal follows a double-blind reviewing procedure. Authors are therefore requested to place their name and affiliation on a separate page. Self-identifying citations and references in the article text should either be avoided or left blank when manuscripts are first submitted. Authors are responsible for reinserting self-identifying citations and references when manuscripts are prepared for final submission.