Steve G. Hoffman, Kelly Joyce, Sharla N. Alegria, Susan E. Bell, Taylor M. Cruz, S. Noble, Benjamin Shestakofsky, Laurel Smith‐Doerr
{"title":"关于人工智能的五大理念","authors":"Steve G. Hoffman, Kelly Joyce, Sharla N. Alegria, Susan E. Bell, Taylor M. Cruz, S. Noble, Benjamin Shestakofsky, Laurel Smith‐Doerr","doi":"10.1177/15365042221114975","DOIUrl":null,"url":null,"abstract":"Massive investments in artificial intelligence (AI) have sparked a renewed debate over its impact on how we live, learn, and work. The last few years have also seen a burst of critical sociology about AI, pushing the conversation toward a deeper understanding of structural and intersectional inequalities. Here, we offer five big ideas that highlight what is distinctive about the emerging sociology of AI.","PeriodicalId":72701,"journal":{"name":"Contexts (Berkeley, Calif.)","volume":"21 1","pages":"8 - 15"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Five Big Ideas About AI\",\"authors\":\"Steve G. Hoffman, Kelly Joyce, Sharla N. Alegria, Susan E. Bell, Taylor M. Cruz, S. Noble, Benjamin Shestakofsky, Laurel Smith‐Doerr\",\"doi\":\"10.1177/15365042221114975\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Massive investments in artificial intelligence (AI) have sparked a renewed debate over its impact on how we live, learn, and work. The last few years have also seen a burst of critical sociology about AI, pushing the conversation toward a deeper understanding of structural and intersectional inequalities. Here, we offer five big ideas that highlight what is distinctive about the emerging sociology of AI.\",\"PeriodicalId\":72701,\"journal\":{\"name\":\"Contexts (Berkeley, Calif.)\",\"volume\":\"21 1\",\"pages\":\"8 - 15\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Contexts (Berkeley, Calif.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1177/15365042221114975\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Contexts (Berkeley, Calif.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/15365042221114975","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Massive investments in artificial intelligence (AI) have sparked a renewed debate over its impact on how we live, learn, and work. The last few years have also seen a burst of critical sociology about AI, pushing the conversation toward a deeper understanding of structural and intersectional inequalities. Here, we offer five big ideas that highlight what is distinctive about the emerging sociology of AI.