人机之恋：人类与AI伴侣的情感联结探究

Bonding with AI: Investigating the Love Relationships between Human and AI Companions

讲座信息

主讲人

石梓君教授

香港科技大学

日期和时间

2025年5月21日（周三）

10:30-12:00

地点

综合教学楼D504会议室

论文摘要

Recent advancements in artificial intelligence have transformed functional chatbots into sophisticated AI companions capable of providing emotional and relational values. However, despite the widespread adoption of AI companions, the relationship between human users and their AI companions remains largely underexplored. We draw on the seminal Triangular Theory of Love (Sternberg 1986, Psychological Review) and study the three components of love – intimacy, passion, and commitment – between human users and AI companions. We analyze a large-scale real-world dataset: 8,631 human users and 44,683 human-AI interactions over 3 months. For each human-AI pair, we quantify the three love components from the behavioral and conversational data of each party (human, AI). We investigate the three love components’ evolution over time, differences by AI types, and each component’s influence on human-AI relationship trajectories (formation and continuation). Our findings reveal that all the three love components (expressed by both the human user and the AI) intensify with more conversational interactions and are stronger when users bonding with relational (e.g., romantic) versus functional AI companions. Regarding relationship trajectories, higher user intimacy at first interaction predicts ongoing (vs. one-off) relationships with the AI companion. Furthermore, conditional on relationship formation, users tend to continue relationships with AI companions that align with intimacy but offer higher passion and commitment. We discuss how these human-AI love relationships evolve differently from human-human love relationships and its implication on human social well-being. These nuanced human preferences in bonding with AI also offer key insights for designing engaging, adaptive, and responsible AI companions.

主讲人简介

石梓君教授

香港科技大学

石梓君，香港科技大学商学院助理教授。研究兴趣为技术驱动的市场营销，关注新技术（如人工智能）对营销策略、消费者福祉和社会福利的影响和推动。在《Marketing Science》、《Journal of Marketing Research》、《Information Systems Research》等顶级期刊发表多篇论文，研究荣获PaulE. Green Award、Don Lehmann Award、MSI Young Scholar。

共同所有权、投资与经济增长：

理论与定量分析

Common Ownership, Investment, and Economic Growth:

 A Theoretical and Quantitative Analysis

讲座信息

主讲人

Maurizio Iacopetta教授

SKEMA商学院

与巴黎政治学院经济研究中心

日期和时间

2025年5月23日（周五）

10:30-12:00

地点

综合教学楼D904会议室

论文摘要

This paper studies the macroeconomic consequences of common ownership in a growth model with industry dynamics. Common ownership occurs when financial investors hold stakes in companies that compete in the product market. The paper integrates three widely debated mechanisms through which common ownership affects corporate decisions: corporate governance, business stealing, and industry knowledge spillovers. It examines how these mechanisms influence product quality, firm entry, and firm size, and explores their aggregate consequences.

In an economy with common ownership, the typical firm is less inclined to invest in quality expansion compared to an economy without common ownership, as the firm's majority shareholder holds stakes in rival firms. The dynamic interaction between common ownership, firm size, entry, and quality expansion gives rise to hump-shaped investment patterns.

Quantitative analysis, calibrated to the U.S. economy, suggests that an increase in common ownership---measured by the magnitude assessed by Azar and Vives (2021) for the U.S. between 1985 and 2015---leads to a 1.76% decline in the quality of corporate governance. It also results in a long-run decrease in corporate investment relative to GDP by 0.09%, and a long-run decline in the economy's rate of growth by 0.046%. Although, in the short run, the payout-to-GDP ratio increases by 0.35%, it declines by 0.21% in the long run.

The paper also studies the welfare consequences of these developments.

Keywords: Common Ownership, Industry Dynamics, Agency Problems, Internal Investments, Quantitative Analysis

JEL Codes: O31, O33, C63, L22, G34

主讲人简介

Maurizio Iacopetta教授

SKEMA商学院

与巴黎政治学院经济研究中心

Maurizio Iacopetta 目前担任法国巴黎 SKEMA 商学院的经济学教授，同时也是巴黎政治学院经济研究中心（OFCE Sciences Po Paris）的高级经济学家。他曾在美国佐治亚理工学院（Georgia Institute of Technology）、墨西哥经济教学与研究中心（CIDE）和意大利路易斯·圭多·卡利大学（Luiss Guido Carli）任职。他拥有纽约大学经济学博士学位。

Iacopetta的研究领域包括经济增长、创新经济学以及定量宏观经济学。他最近的研究聚焦于企业治理不善对经济增长的影响。其最新研究成果已发表在《Economic Journal》、《European Economic Review》以及《Journal of Economic Dynamics and Control》上。

种族、歧视与对冲基金

Race, Discrimination, and Hedge funds

讲座信息

主讲人

陆焱教授

中弗罗里达大学

日期和时间

2025年5月23日（周五）

10:30-12:00

地点

综合教学楼D804会议室

论文摘要

Minority operated hedge funds attract lower start-up capital and investor flows. Yet they deliver higher alphas, Sharpe ratios, and information ratios relative to non- minority operated hedge funds. Moreover, minority managers are more likely to attend prestigious colleges, receive specialized education, eschew downside risk, and exhibit trustworthiness. Racial homophily drives investors’ preference for non-minority funds. An event study of minority manager fund transitions, instrumental variable regressions that exploit childhood racial imprinting, and an analysis of minority managers with non-White sounding first names address endogenity. Our results reveal that racial minorities face significant taste-based discrimination in asset management.

主讲人简介

陆焱教授

中弗罗里达大学

陆焱博士是中佛罗里达大学商学院金融学副教授。她于佛罗里达大学获得博士学位，于同济大学获得本科学位。她还在佛罗里达大学先后取得工商管理硕士和房地产理学硕士学位。自2015年8月起，她一直担任中佛罗里达大学教职。陆教授的研究领域涵盖另类投资与行为金融学，其研究成果发表于《Journal of Finance》、《Management Science》、《 Journal of Financial Economics》等顶级学术期刊。她曾受邀在欧洲金融协会年会、美国金融协会年会等重要会议上发表演讲。

平台认证和消费者核查

Platform Certification and Consumer Verification

讲座信息

主讲人

李娇阳教授

印第安纳大学

日期和时间

2025年5月23日（周五）

10:30-12:00

地点

综合教学楼D504会议室

论文摘要

The rise of online platforms has brought public concerns about the quality of products sold on platforms by third-party sellers. In response, many platforms have launched certification programs to endorse selected sellers. Consumers are increasingly gaining access to tools that enable them to verify product quality independently. This raises two key questions: How should platforms design certification programs and set commission rates when consumers either have or lack the ability to verify products? Furthermore, how do the two quality assurance mechanisms—platform certification and consumer verification—interact with sellers' price signaling to shape market outcomes separately and jointly? We use a Bayesian persuasion model to analyze the platform's information design, accounting for these strategic interplays. Our analysis reveals three key insights: First, when consumers lack independent verification, the platform may intentionally withhold sellers' quality information in its certification design. As the opportunity cost for sellers to join the platform increases, the platform adjusts the informativeness of certification and the commission rate in a nonmonotonic manner. Second, introducing consumer verification can induce sellers to distort prices, prompting the platform to implement a more transparent certification program to mitigate price distortions. Third, although both certification and verification enhance market transparency, they affect the involved parties differently. Platform certification consistently benefits the platform and sellers but may reduce consumer or social welfare in the absence of consumer verification. Surprisingly, empowering consumers with verification tools can harm consumers and society regardless of whether a certification program is in place.

主讲人简介

李娇阳教授

印第安纳大学

李娇阳（Krista）是印第安纳大学凯利商学院市场营销学Blanche “Peg” Philpott教授、副教授及博士项目负责人。Krista的研究重点是通过理解消费者行为并利用新技术（大数据、数字化转型、直播和人工智能）来改进企业的营销策略。她的研究还帮助政策制定者制定法规，以促进更高效的营销，创造更美好的世界。Krista的研究成果发表在《市场营销科学》、《管理科学》、《市场营销研究杂志》、《市场营销杂志》、《制造与服务运营管理》、《生产与运营管理》和《战略管理杂志》等期刊上。她的论文入围了《管理科学》最佳市场营销论文奖。她还于2021年荣获市场营销科学研究所青年学者称号，该称号授予“下一代市场营销学者的潜在领袖”。Krista拥有丰富的编辑经验，曾担任《市场营销科学》、《市场营销杂志》和《决策科学》的副主编，《管理科学》的客座副主编，《生产与运营管理》的高级编辑，以及《市场营销研究杂志》的编辑评审委员会成员。她于 2023 年以副主编身份获得首届《市场营销科学》服务奖，并于 2025 年获得《市场营销科学》副主编奖。