{"title":"人工智能时代领导者的三大原则","authors":"Nada R. Sanders","doi":"10.1002/ltl.20896","DOIUrl":null,"url":null,"abstract":"<p>The author, Distinguished Professor at the D’Amore-McKim School of Business at Northeastern University, writes about smart and productive ways leaders can think about and apply generative AI/artificial intelligence. Rather than the common fear of replacing humans with AI, she foresees “augmenting human activity with AI.” She contends that “this duality is explained by Moravec’s Paradox, developed by Hans Moravec, who was a pioneering AI researcher in the 1980s. The paradox is based on his extensive work and highlights a counterintuitive observation: tasks that are easy for humans are often hard for machines, and tasks that are difficult for humans can be easier for machines.” She explains three ways leaders can utilize Moravec’s Paradox. In her words: 1. Leverage AI for Analytical Tasks, Keep Humans for Creativity; 2. Augment, Don’t Replace, Human Judgment; 3. Recognize the Importance of Context and Adaptability. She invokes the chess grandmaster Garry Kasparov, who “concluded that human judgment and models integrated via the <i>right process</i> result in better decisions than a strong model alone or even a strong model paired with a brilliant human but employing a weaker process of working together.” This “conclusion became known as Kasparov’s Law.” For leaders to apply Kasparov’s law, she outlines three steps, in her words: 1. Build Strong Human-AI Teams; 2. Design Processes that Optimize Collaboration; 3. Foster Continuous Feedback Loops.</p>","PeriodicalId":100872,"journal":{"name":"Leader to Leader","volume":"2025 117","pages":"46-52"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ltl.20896","citationCount":"0","resultStr":"{\"title\":\"THREE PRINCIPLES FOR LEADERS IN THE AGE OF AI\",\"authors\":\"Nada R. Sanders\",\"doi\":\"10.1002/ltl.20896\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The author, Distinguished Professor at the D’Amore-McKim School of Business at Northeastern University, writes about smart and productive ways leaders can think about and apply generative AI/artificial intelligence. Rather than the common fear of replacing humans with AI, she foresees “augmenting human activity with AI.” She contends that “this duality is explained by Moravec’s Paradox, developed by Hans Moravec, who was a pioneering AI researcher in the 1980s. The paradox is based on his extensive work and highlights a counterintuitive observation: tasks that are easy for humans are often hard for machines, and tasks that are difficult for humans can be easier for machines.” She explains three ways leaders can utilize Moravec’s Paradox. In her words: 1. Leverage AI for Analytical Tasks, Keep Humans for Creativity; 2. Augment, Don’t Replace, Human Judgment; 3. Recognize the Importance of Context and Adaptability. She invokes the chess grandmaster Garry Kasparov, who “concluded that human judgment and models integrated via the <i>right process</i> result in better decisions than a strong model alone or even a strong model paired with a brilliant human but employing a weaker process of working together.” This “conclusion became known as Kasparov’s Law.” For leaders to apply Kasparov’s law, she outlines three steps, in her words: 1. Build Strong Human-AI Teams; 2. Design Processes that Optimize Collaboration; 3. Foster Continuous Feedback Loops.</p>\",\"PeriodicalId\":100872,\"journal\":{\"name\":\"Leader to Leader\",\"volume\":\"2025 117\",\"pages\":\"46-52\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ltl.20896\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Leader to Leader\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ltl.20896\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Leader to Leader","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ltl.20896","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
作者是东北大学(Northeastern University)达莫-麦金商学院(D’amore - mckim School of Business)的杰出教授,他撰写了关于领导者思考和应用生成式人工智能(generative AI/artificial intelligence)的聪明而富有成效的方式。与人们普遍担心用人工智能取代人类不同,她预测“用人工智能增强人类活动”。她认为“这种二元性可以用Moravec悖论来解释,这个悖论是由Hans Moravec提出的,他是20世纪80年代人工智能研究的先驱。这个悖论是基于他广泛的工作,并强调了一个反直觉的观察:对人类来说容易的任务对机器来说往往很难,而对人类来说困难的任务对机器来说可能更容易。”她解释了领导者利用莫拉维克悖论的三种方式。用她的话来说:1;利用人工智能完成分析任务,保持人类的创造力;2. 增强而不是取代人类的判断;3. 认识到环境和适应性的重要性。她援引国际象棋大师加里·卡斯帕罗夫(Garry Kasparov)的话,卡斯帕罗夫“得出的结论是,通过正确的过程将人类的判断和模型结合起来,比单独使用一个强大的模型,甚至比一个强大的模型与一个聪明的人配对,但采用较弱的合作过程,能做出更好的决策。”这个“结论后来被称为卡斯帕罗夫定律”。对于领导者来说,要应用卡斯帕罗夫定律,她概括了三个步骤,用她的话来说就是:1。打造强大的人机ai团队;2. 优化协作的设计流程;3. 培养持续的反馈循环。
The author, Distinguished Professor at the D’Amore-McKim School of Business at Northeastern University, writes about smart and productive ways leaders can think about and apply generative AI/artificial intelligence. Rather than the common fear of replacing humans with AI, she foresees “augmenting human activity with AI.” She contends that “this duality is explained by Moravec’s Paradox, developed by Hans Moravec, who was a pioneering AI researcher in the 1980s. The paradox is based on his extensive work and highlights a counterintuitive observation: tasks that are easy for humans are often hard for machines, and tasks that are difficult for humans can be easier for machines.” She explains three ways leaders can utilize Moravec’s Paradox. In her words: 1. Leverage AI for Analytical Tasks, Keep Humans for Creativity; 2. Augment, Don’t Replace, Human Judgment; 3. Recognize the Importance of Context and Adaptability. She invokes the chess grandmaster Garry Kasparov, who “concluded that human judgment and models integrated via the right process result in better decisions than a strong model alone or even a strong model paired with a brilliant human but employing a weaker process of working together.” This “conclusion became known as Kasparov’s Law.” For leaders to apply Kasparov’s law, she outlines three steps, in her words: 1. Build Strong Human-AI Teams; 2. Design Processes that Optimize Collaboration; 3. Foster Continuous Feedback Loops.