讲座报名 | ACE Talk 特别策划邀请康奈尔大学特聘教授 Michael Macy，探索人类与 AI 集体智能的分歧之谜

//

微软亚洲研究院 ACE Talk 系列讲座旨在邀请杰出的学术新星分享科研成果，为学生与研究员提供相互交流学习与洞悉前沿动态的平台。

本期 ACE Talk 特别策划，荣幸邀请到来自

康奈尔大学

的特聘教授

Michael Macy

为我们带来以

"The Shallowness of Deep Division"

为主题的报告。文化爆款为何难以预测？主讲者所在实验室拓展经典"音乐实验室"研究，构建"平行世界"在线实验，发现同一议题在不同世界中可能走向截然相反的党派归属，Amazon 与 Twitter 数据亦印证消费与生活方式中的"部落式"差异。由此提出"深层分歧的浅表性"：现实中根深蒂固的裂痕，或许只是一次临界翻转的偶然产物。报告还将分享以 AI 智能体复现该实验的最新发现，揭示人类与人工集体智能的差异。

讲座信息

时间

：7 月 7 日（周二）下午14:00 - 15:30

地点

：线上 & 北京微软大厦二号楼

• 嘉宾报告（14:00 - 15:00）

• Q&A（15:00 - 15:30）

报名方式

欢迎扫描下方二维码填写报名问卷，报名成功后将收到邮件通知，邮件中将提供讲座 Teams 线上会议链接。

线下参与的同学还将有机会参观微软亚洲研究院，欢迎大家积极报名！

报名截止时间

：7 月 6 日（周一）中午12:00

报名二维码

:

嘉宾介绍

Michael Macy

康奈尔大学

特聘教授

Michael Macy is Distinguished Professor of Arts and Sciences at Cornell, with a joint appointment in the Department of Sociology and the Department of Information Science. With support from the U.S. National Science Foundation, Amazon, Google, and Yahoo, his research team has used computational models, online laboratory experiments, and digital traces of device-mediated interaction to explore enigmatic social patterns, including network “wormholes,” diurnal rhythms, racial discrimination on Airbnb, lifestyle politics, the polarization of science, network mobility, and tribal unpredictability. His research has been published in Science, PNAS, Science Advances, Nature Human Behaviour, Nature Scientific Reports, and Nature Complexity.

报告简介

The Shallowness of Deep Division

Cultural winners like "Harry Potter" and "Star Wars" can be notoriously hard to predict, as demonstrated in the classic “music lab” study by Salganik, Dodds, and Watts. Our lab extended their "multiple worlds" framework to the unpredictability of emergent cultural divisions. In an online experiment, we found that cultural and policy preferences in one experimental “world” had the opposite partisan outcome in other parallel worlds. Using Amazon and Twitter data, we also found seemingly idiosyncratic tribal differences in consumer and lifestyle preferences. What appear to be deep-rooted fault lines in our own world may have arisen through a tipping process that might easily have tipped the other way. The shallowness of deep division is that tipping dynamics produce much deeper fault lines within each world compared to the depth of the divisions in a world without cascades, but the fault lines in one world have little or no predictive power for the emergent divisions in another world. We are currently replicating the “music lab” study, replacing human participants with thousands of autonomous AI agents assigned to parallel worlds. The initial results reveal a fascinating difference between human and artificial collective intelligence.

主持人简介

Wei Chen

微软亚洲研究院

首席研究员

Wei Chen is a principal researcher and chair of MSRA Theory Center. He is an ACM Fellow and IEEE Fellow. His main research areas include social and information networks, online learning, and foundation of language models.

关于ACE Talk

ACE (

A

ccelerate,

C

reate,

E

mpower) Talk Series epitomizes our commitment across three dimensions. To accelerate the swift adoption of cutting-edge research where researchers and students can share the latest breakthroughs and advancements. To create an environment that nurtures novel ideas and fosters the genesis of innovative solutions to complex problems. At its core, we are dedicated to empowering individuals, including our speakers and audiences to drive positive changes on a broader scale. Through this endeavor, we aspire to enhance global communication and cultivate a diverse academic atmosphere, connecting talented individuals worldwide and ultimately contributing to meaningful change within the academic research community.