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[交流] 西交利物浦大学三校联合培养博士项目招生/姚幸之老师课题组

为培养具备全球领导力、跨学科创新能力和国际科研协作水平的复合型研究人才,西交利物浦大学(简称“西浦”)充分发挥国际化办学特色,联合西安交通大学(简称“西交大”)与英国利物浦大学(简称“利物浦大学”)依托三校长期建立的战略合作优势,整合顶尖科研资源联合启动三校博士培养合作项目。

项目课题:
The Impact of Corporate AI Whitewashing
企业人工智能粉饰影响研究

项目编号:SFXJTU2602

三校导师简介:
Dr. Xingzhi Yao is an Associate Professor in the Department of Finance at IBSS, with research interests in risk management and empirical asset pricing. She has published in leading journals including the International Journal of Forecasting, Journal of Futures Markets, and International Review of Financial Analysis. Dr. Zuben Jin is an Assistant Professor in Finance at IBSS, specialising in behavioural finance, AI in finance, FinTech, and sustainability. Her research has been published in internationally recognised journals such as the Journal of Business Ethics, Journal of Corporate Finance, and Journal of Business Finance & Accounting. Dr. Minjoo Kim is a Senior Lecturer in Finance at the University of Liverpool, whose research covers corporate investment, climate change, machine learning, and applied financial econometrics, with more than 10 publications in top journals including the Journal of Corporate Finance and Journal of Banking & Finance. Professor Yu Gao is a Professor and Doctoral Supervisor at the School of Economics and Finance, Xi’an Jiaotong University, and Director of the Teaching and Research Section of Industrial Economics, a national key discipline. He focuses on industrial economics and corporate finance, with more than 40 Chinese and English academic publications.

姚幸之博士现任IBSS金融系副教授,研究方向包括风险管理与实证资产定价。其研究成果发表于 International Journal of Forecasting、Journal of Futures Markets 及 International Review of Financial Analysis 等国际知名期刊。金祖本博士现任IBSS金融系助理教授,研究领域包括行为金融、金融人工智能、金融科技与可持续金融。其论文发表于 Journal of Business Ethics、Journal of Corporate Finance 及 Journal of Business Finance & Accounting 等国际权威期刊。Minjoo Kim博士现任英国利物浦大学管理学院金融学高级讲师,研究方向涵盖公司投资、气候变化、机器学习及应用金融计量,在 Journal of Corporate Finance 与 Journal of Banking & Finance 等国际顶级期刊发表论文十余篇。高宇教授现任西安交通大学经济与金融学院教授、博士生导师,并担任国家重点学科产业经济学教研室主任。高教授主要研究产业经济学与公司金融,已发表中英文学术论文40余篇。

项目简介:
This research project examines the emerging phenomenon of “AI whitewashing” in capital markets, where firms strategically exaggerate or misuse AI-related narratives to attract investor attention, improve market valuation, or conceal operational weaknesses. As artificial intelligence becomes increasingly integrated into corporate communication and business strategies, the resulting “traffic effect” has raised significant concerns regarding information transparency, governance quality, and market efficiency. Misleading AI disclosures may distort investor expectations, contribute to resource misallocation, and amplify systemic financial risks.

The project investigates the economic consequences and transmission mechanisms of AI whitewashing from three interconnected perspectives. First, at the micro level, the study explores how AI whitewashing affects firm outcomes such as financing conditions, stock market performance, corporate governance, and investor reactions. Second, at the industry level, the project analyses how AI-related narratives diffuse across firms and industries, potentially generating imitation behavior, competitive pressure, and information spillovers. Third, at the macro level, the research examines how AI whitewashing propagates through economic and social networks, influencing broader market stability and public trust in AI-related innovation.

Methodologically, the project combines large-scale textual analysis, natural language processing, econometric modeling, and network analysis to identify and measure AI whitewashing behaviors and evaluate their economic and social impacts. The findings aim to provide important implications for regulators, investors, and policymakers regarding AI governance and disclosure standards.

本项目聚焦资本市场中日益突出的“人工智能粉饰(AI whitewashing)”现象,即企业通过夸大、滥用或包装人工智能相关叙事,以吸引投资者关注、提升市场估值或掩盖经营问题。随着人工智能技术被广泛应用于企业战略与信息披露之中,由AI概念所带来的“流量效应”正在引发关于信息透明度、公司治理与资本市场效率的重要讨论。误导性的AI信息披露可能扭曲投资者预期,造成资源错配,并进一步放大金融体系风险。

本项目将从三个层面系统研究人工智能粉饰行为的经济后果及其传导机制。首先,在微观层面,研究人工智能粉饰对企业融资环境、股票市场表现、公司治理以及投资者反应的影响。其次,在行业层面,分析AI相关叙事如何在企业与行业之间扩散,并可能引发模仿行为、竞争压力与信息溢出效应。最后,在宏观层面,项目将探讨人工智能粉饰如何通过经济网络与社会网络传播,从而影响整体市场稳定性以及社会公众对AI创新的信任。

在研究方法上,本项目将结合大规模文本分析、自然语言处理、计量经济学模型以及网络分析方法,对人工智能粉饰行为进行识别与测度,并评估其经济与社会影响。研究结果将为监管机构、投资者以及政策制定者完善AI治理与信息披露制度提供重要参考。

对项目候选人的其他学术背景及技能要求:
Candidates should possess a solid background in finance, economics, or related disciplines, with experience in econometric analysis and data programming tools.
申请人应具备金融学、经济学或相关学科背景,并具有计量经济分析与数据编程工具使用经验。

有意者请将个人简历及其他有助于申请的材料发送至 zuben.jin@xjtlu.edu.cnxingzhi.yao@xjtlu.edu.cn
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