北大数字金融Workshop第二讲预告 |  Sean Cao, Maryland Smith
发布时间:2026-03-25

时间:2026年3月30日周一 下午2:00至3:30

Monday March 30, 14:00-15:30 pm Beijing time

地点:

线下:北京大学国家发展研究院承泽园校区245教室

线上:Zoom会议(会议号: 813 0969 5445  密码: 676067)

Title: Seeing the Goal, Missing the Truth: Human Accountability for AI Bias

Abstract: This research explores how human-defined goals influence the behavior of Large Language Models (LLMs) through purpose-conditioned cognition. Using financial prediction tasks, we show that revealing the downstream use (e.g., predicting stock returns or earnings) of LLM outputs leads the LLM to generate biased sentiment and competition measures, even though these measures are intended to be downstream task-independent. Goal-aware prompting shifts intermediate measures toward the disclosed downstream objective. This purpose leakage improves performance before the LLM’s knowledge cutoff, but with no advantage post-cutoff. AI bias due to “seeing the goal” is not an algorithmic flaw, but stems from human accountability in research design to ensure the statistical validity and reliability of AI-generated measurements.

主讲人简介:

曹顺老师(Sean Cao)是美国马里兰大学史密斯商学院终身教职(Tenured Associate Professor),AI与资本市场研究中心的创始人及主任,同时担任哈佛商学院D^3研究所(Digital Data Design Institute)的兼职教授。他的研究成果得到Financial Times、CNBC、Bloomberg、The Guardian、Quartz和IR Magazine等著名媒体的广泛关注和报道。已有研究成果 (许多和博士生合作)发表在金融学、会计学、计算科学的顶级期刊上,如Journal of Accounting Research、Journal of Financial Economics、Journal of Financial and Quantitative Analysis、Review of Financial Studies、The Accounting Review、Contemporary Accounting Research、Management Science和IEEE Computer等,并多次荣获期刊和学术会议的最佳论文奖(例如:论文From Man vs. Machine to Man + Machine: The Art and AI of Stock Analyses获得Journal of Financial Economics的Fama-DFA奖,论文How to Talk When Machines are Listening: Corporate Disclosure in the Age of AI获得Review of Financial Studies的Michael J. Brennan奖)。他目前担任Contemporary Accounting Research和Management Science的客座主编和副主编,并且曾担任Review of Financial Studies金融科技与机器学习会议的联合主席,收到近450篇高质量投稿。

立志于让学术研究和业界结合,让业界能够受益于学术界的研究成果,他帮助德勤 (Deloitte)研发AI服务,受邀到多所大学以及包括日本央行、泰国央行和美国证券交易委员会等在内的国家监管和政策咨询机构进行200多场学术演讲.立志于培养AI和金融科技的博士人才,他给博士学生提供短期培训并出版了免费教材《Analytics for Finance and Accounting: Data Structure and Applied AI》,创立教学网站(YouTube: Sean Cao_Fintech 或 Bilibili ID: Seancao_)。更多信息请见 https://sites.google.com/view/seancao/home