AI Snake Oil: What Artificial Intelligence Can Do, What It Can't, and How to Tell the Difference
AI热潮下的冷思考:从诺奖突破到AI能力边界的探讨
This talk is part of the Princeton Univerisity Press-Yale Center Beijing Ideas Series.
本活动为普林斯顿大学出版社—耶鲁北京中心“相约周末”品读汇系列讲座。
活动概要
The Event
Confused about AI and worried about what it means for your future and the future of the world? You’re not alone. AI is everywhere—and few things are surrounded by so much hype, misinformation, and misunderstanding. In AI Snake Oil, computer scientists Arvind Narayanan and Sayash Kapoor, who are recognized by Time magazine as two of the 100 most influential experts in AI, cut through the confusion to give you an essential understanding of how AI works and why it often doesn’t, where it might be useful or harmful, and when you should suspect that companies are using AI hype to sell AI snake oil—products that don’t work, and probably never will.
On November 8, Arvind Narayanan and Sayash Kapoor will meet online with the public, joined by Thomas Luo, Founding Partner of GenAI Assembling, for an in-depth discussion on AI’s real value and potential risks in today’s society, focusing particularly on how to recognize and avoid being misled by false advertising in an increasingly complex information landscape.
自2022年ChatGPT横空出世,到2024年诺贝尔物理学家授予了人工神经网络和机器学习领域的“AI先驱”,公众、学者和媒体对人工智能的关注与讨论到了前所未有的高度,AI也成为科技公司和投资者持续关注的热点。人们称AI是“互联网革命之后下一个增长点”,生成式AI正在“颠覆科学研究范式”。但很少有人真正理解其本质及其未来可能带来的影响。随着AI的光环越发耀眼,争议、迷思和混水摸鱼也随之而来。
作为《时代》杂志评选的AI领域百位最具影响力专家,Arvind Narayanan和Sayash Kapoor在新书AI Snake Oil中揭示了AI的真实价值与潜在风险,并教授如何辨别何时有用、何时有害。书中指出,当今一些企业像百年前的“蛇油”贩子般,用夸大与误导的方式推销虚假的AI产品。Narayanan和Kapoor希望帮助读者在这场AI狂热中保持理性,以做出更明智的选择。
11月8日晚8点,Arvind Narayanan和Sayash Kapoor将在线上与公众见面,并与GenAI Assembling创始合伙人骆轶航展开深入对谈,探讨AI在当今社会的真实价值及其潜在风险,特别是如何在信息纷繁的环境中识别和避免虚假宣传的误导。
对话嘉宾
Speakers
Arvind Narayanan
Professor of Computer Science & Director, Center for Information Technology Policy, Princeton University
普林斯顿大学计算机科学教授、信息技术政策中心主任
Arvind Narayanan is a professor of computer science at Princeton University and the director of the Center for Information Technology Policy. He studies the societal impact of digital technologies, especially artificial intelligence, and has co-authored a textbook on fairness and machine learning. He led the Princeton Web Transparency and Accountability Project to uncover how companies collect and use our personal information. In 2017, he received the Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor bestowed by the U.S. government upon scientists and engineers who have recently embarked on independent research careers and demonstrated outstanding leadership in the fields of science and technology.
Arvind Narayanan现任普林斯顿大学计算机科学教授和信息技术政策中心主任,专长在于研究人工智能等数字技术的社会影响。他的研究揭露了大企业如何收集和使用个人信息,以及机器学习如何反映文化刻板印象等。2017年他获得了青年科学家总统奖(PECASE),这是美国政府授予刚刚开始独立研究生涯并在科学技术领域展现出卓越领导力的科学家和工程师的最高荣誉。
Sayash Kapoor
Ph.D. Candidate, Center for Information Technology Policy, Princeton University
普林斯顿大学信息技术政策中心博士研究生
Sayash Kapoor is a Ph.D. candidate at the Center for Information Technology Policy at Princeton University. He previously worked at Facebook and conducted AI research at Columbia University and the Swiss Federal Institute of Technology in Lausanne (EPFL). He has received the Best Paper Award at the ACM FAccT Conference and the Impact Recognition Award at the ACM CSCW Conference, both from the Association for Computing Machinery (ACM).
Sayash Kapoor是普林斯顿大学信息技术政策中心的博士研究生。他曾在Facebook工作,并在哥伦比亚大学和瑞士洛桑联邦理工学院从事AI研究。他曾获得国际计算机学会(ACM)的ACM FAccT会议最佳论文奖和ACM CSCW会议影响力认可奖。
Thomas Luo 骆轶航
Founding Partner, GenAI Assembling
Founder and CEO, PingWest and Si-Planet
GenAI Assembling创始合伙人
品玩、硅星人创始人兼CEO
Thomas Luo is Founding Partner of GenAI Assembling and Founder & CEO of both Si-Planet and PingWest. Thomas is a prominent figure in Chinese tech media and an alumnus of Tsinghua University. He has built a reputation as a keen observer of technological innovation in both China and Silicon Valley.
骆轶航,GenAI Assembling的创始合伙人,品玩和硅星人创始人和CEO。毕业于清华大学的他被认为是中国和硅谷科技创新领域的敏锐观察者。
活动信息
Participation
Language 活动语言
The event will be in English
活动语言为英文
Time 时间
Friday, November 8, 2024
2024年11月8日,星期五
Registration/注册
7:30 pm - 8:00 pm
Presentation and Commentary/讲座与点评
8:00 pm - 9:00 pm
Q&A/问答
9:00 pm - 9:15 pm
Location 地址
Yale Center Beijing
耶鲁北京中心
36th Floor
Tower B of IFC Building
8 Jianguomenwai Avenue
Chaoyang District, Beijing
(Yong'anli Subway Station, Exit C)
北京市朝阳区
建国门外大街8号
国际财源中心B座36层
(永安里地铁站C出口)
Registration 报名
Ticket/门票:
Free for students and faculty (subject to approval); RMB 30 for regular admission.
在校生与教师免费参与(需经审核);普通门票30元。
Please click "Read More" further below to register. Please send an email to yalecenterbeijing@yale.edu if there are any problems. If you encounter any payment issues, please attach a screenshot that identifies the issue.
请点击“阅读原文”进行注册。如有任何问题,请发邮件至yalecenterbeijing@yale.edu。若您遇到支付问题,请附上截图加以说明。
专属小福利
合作伙伴
普林斯顿大学出版社成立于1905年,是国际上享有盛誉的非营利学术出版机构,致力于通过出版经过严格同行评议的书籍联结不同领域的作者和读者,以促进全球范围内跨文化的对话与交流。
2017年,PUP正式在北京成立中国办公室,以回应中国在高等教育和学术研究领域日益增长的影响力,以及中国在全球思想市场日趋中心化的地位。中国办公室在PUP的全球学术使命中具有重要的战略意义,是中西学术跨文化交流的桥梁,致力于发掘出版中国最优秀学者的作品,将他们的思想和观点介绍给全球读者;同时将英文世界最前沿的著作介绍给中国读者,以期推动全球知识互鉴。
For more information on upcoming events, please follow us on WeChat at YaleCenterBJ.
更多精彩活动,请关注耶鲁北京中心微信公众号YaleCenterBJ。
开业于2014年10月27日的耶鲁北京中心,是耶鲁大学历史上在美国本土校园之外设立的唯一一个实体中心。中心致力于促进决策者和思想领袖开展对话与交流,为社会各界和全球各地区培养领导者。
Yale Center Beijing opened on October 27, 2014. As the only such center Yale University has opened outside of its campus, Yale Center Beijing is dedicated to developing leaders from all sectors of society and all regions of the globe.
耶鲁北京中心
Home 官网:centerbeijing.yale.edu
Wechat 微信号:YaleCenterBJ
视频号二维码
小助手二维码
点击阅读原文,报名参加活动吧