Bruce Schneier;Nathan E. Sanders;Dariusz Jemielniak;Edmon Begoli;Amir Sadovnik
{"title":"让人工智能站在我们这边的3种方法:人工智能研究人员可以从网络安全、机器人和天体生物学中吸取教训","authors":"Bruce Schneier;Nathan E. Sanders;Dariusz Jemielniak;Edmon Begoli;Amir Sadovnik","doi":"10.1109/MSPEC.2025.10960476","DOIUrl":null,"url":null,"abstract":"As Artificial Intelligence reshapes society, our traditional safety nets and ethical frameworks are being put to the test. How can we make sure that AI remains a force for good? • Here we bring you three fresh visions for safer AI. In the first essay, security expert Bruce Schneier and data scientist Nathan E. Sanders explore how AI's “weird” error patterns create a need for innovative security measures that go beyond methods honed on human mistakes. Dariusz Jemielniak, an authority on Internet culture and technology, argues that the classic robot ethics embodied in Isaac Asimov's famous rules of robotics need an update to counterbalance AI deception and a world of deepfakes. And in the final essay, the AI researchers Edmon Begoli and Amir Sadovnik suggest taking a page from the search for intelligent life in the stars; they propose rigorous standards for detecting the possible emergence of human-level AI intelligence. As AI advances with breakneck speed, these cross-disciplinary strategies may help us keep our hands on the reins.→","PeriodicalId":13249,"journal":{"name":"IEEE Spectrum","volume":"62 4","pages":"38-45"},"PeriodicalIF":2.6000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3 Ways to Keep AI on Our Side: AI Researchers can Draw Lessons from Cybersecurity, Robotics, and Astrobiology\",\"authors\":\"Bruce Schneier;Nathan E. Sanders;Dariusz Jemielniak;Edmon Begoli;Amir Sadovnik\",\"doi\":\"10.1109/MSPEC.2025.10960476\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As Artificial Intelligence reshapes society, our traditional safety nets and ethical frameworks are being put to the test. How can we make sure that AI remains a force for good? • Here we bring you three fresh visions for safer AI. In the first essay, security expert Bruce Schneier and data scientist Nathan E. Sanders explore how AI's “weird” error patterns create a need for innovative security measures that go beyond methods honed on human mistakes. Dariusz Jemielniak, an authority on Internet culture and technology, argues that the classic robot ethics embodied in Isaac Asimov's famous rules of robotics need an update to counterbalance AI deception and a world of deepfakes. And in the final essay, the AI researchers Edmon Begoli and Amir Sadovnik suggest taking a page from the search for intelligent life in the stars; they propose rigorous standards for detecting the possible emergence of human-level AI intelligence. As AI advances with breakneck speed, these cross-disciplinary strategies may help us keep our hands on the reins.→\",\"PeriodicalId\":13249,\"journal\":{\"name\":\"IEEE Spectrum\",\"volume\":\"62 4\",\"pages\":\"38-45\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Spectrum\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10960476/\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Spectrum","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10960476/","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
摘要
随着人工智能重塑社会,我们的传统安全网和道德框架正在受到考验。我们如何确保人工智能仍然是一种有益的力量?•在这里,我们为您带来更安全的人工智能的三个新愿景。在第一篇文章中,安全专家Bruce Schneier和数据科学家Nathan E. Sanders探讨了人工智能的“奇怪”错误模式如何创造出对创新安全措施的需求,而这些措施不仅仅是针对人类错误的方法。互联网文化和技术权威Dariusz Jemielniak认为,艾萨克·阿西莫夫(Isaac Asimov)著名的机器人规则中体现的经典机器人伦理需要更新,以抵消人工智能欺骗和深度造假的世界。在最后一篇文章中,人工智能研究人员埃德蒙·贝戈利和阿米尔·萨多夫尼克建议借鉴寻找外星智慧生命的经验;他们提出了严格的标准来检测可能出现的人类水平的人工智能。随着人工智能以惊人的速度发展,这些跨学科的策略可能会帮助我们掌握控制权
3 Ways to Keep AI on Our Side: AI Researchers can Draw Lessons from Cybersecurity, Robotics, and Astrobiology
As Artificial Intelligence reshapes society, our traditional safety nets and ethical frameworks are being put to the test. How can we make sure that AI remains a force for good? • Here we bring you three fresh visions for safer AI. In the first essay, security expert Bruce Schneier and data scientist Nathan E. Sanders explore how AI's “weird” error patterns create a need for innovative security measures that go beyond methods honed on human mistakes. Dariusz Jemielniak, an authority on Internet culture and technology, argues that the classic robot ethics embodied in Isaac Asimov's famous rules of robotics need an update to counterbalance AI deception and a world of deepfakes. And in the final essay, the AI researchers Edmon Begoli and Amir Sadovnik suggest taking a page from the search for intelligent life in the stars; they propose rigorous standards for detecting the possible emergence of human-level AI intelligence. As AI advances with breakneck speed, these cross-disciplinary strategies may help us keep our hands on the reins.→
期刊介绍:
IEEE Spectrum Magazine, the flagship publication of the IEEE, explores the development, applications and implications of new technologies. It anticipates trends in engineering, science, and technology, and provides a forum for understanding, discussion and leadership in these areas.
IEEE Spectrum is the world''s leading engineering and scientific magazine. Read by over 300,000 engineers worldwide, Spectrum provides international coverage of all technical issues and advances in computers, communications, and electronics. Written in clear, concise language for the non-specialist, Spectrum''s high editorial standards and worldwide resources ensure technical accuracy and state-of-the-art relevance.