{"title":"与肯-霍斯坦对话：促进人类与人工智能的互补","authors":"B. Anjum","doi":"10.1145/3632842","DOIUrl":null,"url":null,"abstract":"Ubiquity's senior editor Dr. Bushra Anjum chats with Ken Holstein, an assistant professor at Carnegie Mellon University, where he leads the Co-Augmentation, Learning, & AI (CoALA) Lab. We discuss how, amidst all of the current AI hype, human ability and expertise remain underappreciated. Designing for complementarity in AI-augmented tooling ensures that domain-specific worker-facing AI systems are designed to bring out the best of human ability rather than simply attempting to, many a time incorrectly, automate them away.","PeriodicalId":509232,"journal":{"name":"Ubiquity","volume":"23 2","pages":"1 - 6"},"PeriodicalIF":0.0000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Conversation with Ken Holstein: Fostering human-AI complementarity\",\"authors\":\"B. Anjum\",\"doi\":\"10.1145/3632842\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ubiquity's senior editor Dr. Bushra Anjum chats with Ken Holstein, an assistant professor at Carnegie Mellon University, where he leads the Co-Augmentation, Learning, & AI (CoALA) Lab. We discuss how, amidst all of the current AI hype, human ability and expertise remain underappreciated. Designing for complementarity in AI-augmented tooling ensures that domain-specific worker-facing AI systems are designed to bring out the best of human ability rather than simply attempting to, many a time incorrectly, automate them away.\",\"PeriodicalId\":509232,\"journal\":{\"name\":\"Ubiquity\",\"volume\":\"23 2\",\"pages\":\"1 - 6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ubiquity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3632842\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ubiquity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3632842","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Conversation with Ken Holstein: Fostering human-AI complementarity
Ubiquity's senior editor Dr. Bushra Anjum chats with Ken Holstein, an assistant professor at Carnegie Mellon University, where he leads the Co-Augmentation, Learning, & AI (CoALA) Lab. We discuss how, amidst all of the current AI hype, human ability and expertise remain underappreciated. Designing for complementarity in AI-augmented tooling ensures that domain-specific worker-facing AI systems are designed to bring out the best of human ability rather than simply attempting to, many a time incorrectly, automate them away.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
