Marie Curie Forum × Oxford Forum: 2026 Spring Special

Focus: FinTech and Corporate Innovation

Event Background

Against the backdrop of a new round of technological revolution and industrial transformation, Artificial Intelligence (AI), Big Data, and digital platform technologies are reshaping the operational mechanisms of financial systems and corporate innovation models. FinTech, represented by Large Language Models (LLMs) and intelligent algorithms, has not only significantly enhanced information processing efficiency and decision support capabilities but is also restructuring corporate risk appetite, innovation incentive mechanisms, and the logic of capital allocation.

FinTech has evolved from a simple technical tool into critical infrastructure influencing corporate strategic choices, innovative behavior, and market structure. However, as algorithms play an increasingly pivotal role in financial decision-making and corporate governance, their ethical boundaries, risk appetite formation mechanisms, and impacts on innovation vitality and long-term economic efficiency remain subjects requiring deep theoretical exploration and empirical research.

To respond to these frontier issues, the Marie Curie Alumni Association (MCAA) China Chapter, in collaboration with the Zhongguancun Unicorn Enterprise Development Alliance and the Oxford Chinese Students and Scholars Association (OXCSSA), is proud to launch the "Marie Curie Forum × Oxford Forum" Spring Special in the spring of 2026. Focusing on "FinTech and Corporate Innovation," we have specially invited heavyweight guests from both academia and industry to engage in deep exchange and intellectual collision regarding AI-driven financial decision-making, venture capital, and corporate innovation.

About the "Marie Curie Forum" Series

The "Curie Forum" series is dedicated to establishing a joint brand for high-level Sino-European academic exchange. It aims to build a cross-regional, interdisciplinary bridge of thought, promoting deep cooperation between European universities and Chinese research institutions in frontier fields. The series seeks to gradually construct a new global ecosystem for academic exchange, jointly exploring new opportunities for scientific innovation and social development.

Speaker Profiles

Professor Shumiao Ouyang

Associate Professor of Finance, Saïd Business School, University of Oxford

Shumiao Ouyang is an Associate Professor of Finance at the Saïd Business School, University of Oxford. He earned his Ph.D. in Economics from Princeton University, a Master’s in Finance from Peking University, and completed dual Bachelor’s degrees in Biology and Economics at Tsinghua University.

Since 2018, he has collaborated with renowned big tech companies, including Ant Group and Alibaba, leveraging his expertise to deeply research the evolving landscape of finance and technology. His research primarily focuses on AI, FinTech, household finance, data privacy, and financial intermediation, with a special interest in the emerging field of Big Tech Finance. As an economist, he is dedicated to exploring the complex relationship between finance and technology, revealing its profound economic implications in our rapidly digitizing world.

Presentation Title: AI as a Decision Maker: Ethics and Risk Preferences of Large Language Models

Abstract: Large Language Models (LLMs) exhibit diverse and stable risk preferences in economic decision-making tasks, yet the causes of these differences remain unclear. Based on a study of 50 LLMs, we find that alignment tuning centered on harmlessness, helpfulness, and honesty systematically increases the models' risk aversion. For every 10% increase in ethical score, risk appetite decreases by approximately 2% to 8%. This introduced caution persists across different prompts and affects economic forecasting. Consequently, while alignment enhances safety, it may also suppress valuable risk-taking, revealing a trade-off that could lead to suboptimal economic outcomes. Our research framework provides an adaptable and long-term benchmark for continuously tracking model risk preferences and this emerging trade-off relationship.

Professor Li Liping

Visiting Scholar, Department of International Development, University of Oxford Associate Professor, School of Business, Chengdu University

Dr. Li Liping is a Visiting Scholar at the University of Oxford's Department of International Development, a Postdoctoral Fellow at the School of Economics and Management, Tsinghua University, and holds a Ph.D. from Sichuan University. She is an Associate Professor and Master's Supervisor at the School of Business, Chengdu University.

She serves as an expert in the National Sichuan Intellectual Property Operation Center Think Tank, a think tank expert in the field of scientific and technological achievement transformation for the China (Mianyang) Science and Technology City Industrial Technology Research Institute, and a director of the Sichuan Systems Engineering Society. Dedicated to research in technological innovation management, she focuses on open innovation and the transformation of scientific and technological achievements.

She has presided over four national, provincial, and ministerial-level projects, numerous horizontal projects, and participated in five national-level research projects. She has published two academic books and, in the last five years, 20 high-level academic papers in SSCI/SCI indexed journals and domestic academic journals. She has published as the first author in journals such as Humanities and Social Sciences Communications and serves as a reviewer for Research in International Business and Finance.

Presentation Title: Research on Collusive Behavior Between Venture Capitalists and Entrepreneurs Based on Personal Relationships

Abstract: In the development of venture capital (VC), there are numerous issues that cannot be ignored, including "collusive behavior" between venture capitalists and entrepreneurs. Specifically, collusive behavior in VC activities refers to improper conduct where VCs and entrepreneurs seek personal gain at the expense of minority shareholder interests, thereby increasing corporate operational risk. Collusive behavior not only misleads investors into making erroneous decisions but also reduces the positive impact of venture capital on innovation and entrepreneurial activities. Therefore, identifying and governing collusive behavior between VCs and entrepreneurs, and mitigating its adverse effects, are issues worthy of attention and discussion in both theory and practice.

Combining the principal-agent relationship in VC activities with the "Differential Mode of Association" (Cha Xu Ge Ju) characteristic of Chinese social networks, this paper focuses on collusive behavior from the perspective of personal relationships, utilizing Social Identity Theory, Social Exchange Theory, and Pro-relational Unethical Behavior Theory. By comprehensively analyzing the impact of personal relationships on collusion, as well as the formation mechanisms and corporate governance measures for relationship-based collusion, this study provides a decision-making basis for enterprises and governments to prevent and govern such behavior. Centering on these research contents, the paper proposes hypotheses through theoretical reasoning and deductive induction. Using Chinese GEM (Growth Enterprise Market) listed companies supported by venture capital from 2009 to 2021 as a sample, empirical methods are used to verify the hypotheses. Based on the conclusions, relevant suggestions are proposed for the prevention of collusion and corporate governance under the influence of personal relationships.

Xu Junming

Founding Partner, General Manager, & Director, Xicheng Zhiyuan Private Equity Fund Management Co., Ltd. (A holding enterprise under the State-owned Assets Supervision and Administration Commission of Beijing Xicheng District)

Mr. Xu serves as the Deputy Director of the Financial Committee of the China National Democratic Construction Association (Beijing Dongcheng District) and a Director at CASIC Space Engineering Development Co., Ltd. He holds a Bachelor's degree in Economics from Wuhan University and a Master's in Accounting from Renmin University of China.

He is a Special Researcher at the Huaxia New Supply Economics Research Institute and a special commentator for CCTV Finance Channel and CNR "Voice of the Economy." Mr. Xu also serves as an adjunct master's supervisor at Wuhan University, Beijing Normal University, and Minzu University of China.

Professional Qualifications & Honors:

Host: Dr. Fan Mo

Chartered Engineer, EU Marie Curie Fellow, Vice Chair of the Marie Curie Alumni Association China Chapter

Dr. Mo's research interests include robotic intelligent manufacturing, Graph Neural Networks (GNN), and Digital Twins. He has served as a Postdoctoral Researcher at the University of Oxford and the University of Cambridge, a Course Lecturer at the University of Oxford, and a Visiting Scholar at the University of Cambridge, where he was a member of the Postdoctoral Society of Trinity College. He also serves as a Master’s Supervisor at the University of Nottingham and a Guest Lecturer at KTH Royal Institute of Technology and Loughborough University. Additionally, he holds editorial roles for the Journal of Manufacturing Research and the Journal of Automation and Intelligence, and serves as the Organizing Committee Chair for the ISoIRS 2026 Robotics Conference.

Live Streaming Link:

https://meeting.tencent.com/dm/jQyyC4C3IPVf

koushare.com/live/details/50192

居里讲坛 x 津城讲坛

在新一轮科技革命与产业变革的背景下，人工智能、大数据与数字平台技术正重塑金融体系运行机制与企业创新模式。以大语言模型和智能算法为代表的金融科技，不仅显著提升了信息处理效率与决策支持能力，也正在重构企业的风险偏好、创新激励机制与资本配置逻辑。金融科技已从单纯的技术工具，逐步演化为影响企业战略选择、创新行为以及市场结构的重要基础设施。然而，随着算法在金融决策与企业治理中扮演愈发关键的角色，其伦理边界、风险偏好形成机制以及对创新活力与长期经济效率的影响，仍有待深入的理论探讨与实证研究。为回应上述前沿议题，玛丽·居里学者华人学会联合中关村独角兽企业发展联盟、牛津中国学生学者联谊会，于2026年新春之际共同推出“居里讲坛 × 津城讲坛”新春特辑，聚焦“金融科技与企业创新”，特别邀请来自学术界与产业界的重量级嘉宾，围绕人工智能驱动的金融决策、风险资本与企业创新展开深入交流与思想碰撞。

学会本系列“居里讲坛”致力于打造中欧高水平学术交流的联合品牌，构建跨地域、跨学科的思想桥梁，推动欧洲高校与中国科研机构在前沿领域的深度合作，逐步构建面向全球的学术交流新生态，共同探索科技创新与社会发展的新机遇。

报告人简介

欧阳书淼教授

牛津大学赛德商学院金融学副教授

欧阳书淼是牛津大学赛德商学院的金融学副教授。他在普林斯顿大学获得经济学博士学位，在北京大学获得金融学硕士学位，并在清华大学完成了生物学与经济学双学士学位。自2018年以来，他与包括蚂蚁集团和阿里巴巴在内的知名大科技公司展开合作，运用其专业知识深入研究金融与技术不断演变的格局。欧阳书淼的研究主要集中于人工智能、金融科技、家庭金融、数据隐私以及金融中介，特别关注于新兴的大科技金融领域。作为一名经济学家，他致力于探讨金融与技术之间复杂的关系，揭示我们快速数字化世界中深远的经济影响。

报告题目：作为决策者的 AI：大语言模型的伦理与风险偏好

报告摘要：大语言模型在经济决策任务中表现出多样且稳定的风险偏好，但这种差异的成因尚不清楚。基于对 50 个大语言模型的研究，我们发现，围绕无害性、有用性和诚实性的对齐调优，会系统性地提高模型的风险厌恶程度。伦理评分每提高10%，风险偏好就会下降约2%至8%。这种被引入的谨慎性在不同提示下仍然存在，并会影响经济预测。因此，对齐有助于提升安全性，但也可能抑制有价值的风险承担，揭示出一种可能导致次优经济结果的权衡。我们的研究框架为持续跟踪模型风险偏好及这一新兴权衡关系提供了一个具有适应性和长期有效性的基准。

李丽萍教授

牛津大学国际发展系访问学者

成都大学商学院副教授

国家级四川知识产权运营中心专家智库成员

李丽萍，牛津大学国际发展系访问学者，清华大学经济管理学院博士后，四川大学博士，成都大学商学院副教授，硕士生导师，国家级四川知识产权运营中心专家智库成员，中国（绵阳）科技城工业技术研究院科技成果转化领域智库专家，四川省系统工程学会理事。致力于技术创新管理研究，重点聚焦于开放式创新、科技成果转化等研究方向。先后主持国家级省部级及厅局级课题4项，横向课题若干，参与国家级科研项目5项；出版学术著作2部；近五年，在SSCI、SCI检索期刊和国内学术期刊发表高水平学术论文20篇。以第一作者身份在《Humanities and Social Sciences Communications》等国际、国内学术期刊上发表高水平学术论文，担任《Humanities and Social Sciences Communications》、《Research in International Business and Finance》等期刊审稿人。

报告题目：基于私人关系的风险投资家与创业企业家合谋行为研究

报告摘要：在风险投资发展过程中，尚存在诸多不容忽视的问题，包括风险投资家与创业企业家的“合谋行为”。风险投资活动中的合谋行为具体而言是指风险投资家与创业企业家为双方谋取私利，侵害中小股东利益，增加企业经营风险的不正当行为。合谋行为不仅会误导投资者做出失误性决策，而且会降低风险投资对创新创业活动的积极作用。因此，如何识别和治理风险投资家与创业企业家的合谋行为，降低合谋行为带来的不良影响是理论界和实践界值得重视与探讨的问题。

结合风险投资活动中的委托代理关系和中国社会关系网络“差序格局”的特点，本文根据社会认同理论、社会交换理论和亲关系不道德理论，从私人关系视角聚焦于风险投资家与创业企业家的合谋行为。通过全面分析私人关系对风险投资家与创业企业家合谋行为的影响，以及基于私人关系的合谋行为的形成机制及公司治理措施，为企业和政府预防和治理合谋行为提供决策依据。围绕上述研究内容，本文通过理论推理、演绎归纳等方法提出研究假设，利用有风险资本支持的中国创业板上市公司为研究样本，以2009年-2021年作为观察窗口，通过实证方法验证研究假设是否成立。结合研究结论，提出对私人关系下风险投资家与创业企业家合谋行为预防及公司治理的相关建议。

许峻铭

许峻铭，熙诚致远私募基金管理公司（北京西城区国资委旗下控股企业）创始合伙人、总经理、董事，民建北京东城区金融委副主任，航天科工空间工程发展有限公司董事，武汉大学经济学学士，中国人民大学会计专业硕士，华夏新供给经济研究院特邀研究员，央视财经频道、央广经济之声特约评论员，武汉大学、北京师范大学、中央民族大学兼职硕士导师，高级经济师，全球特许管理会计师、澳洲注册会计师、英国皇家特许管理会计师资深会员、英伟达生成式人工智能专业认证，微软人工智能专业认证，阿里云云计算专家认证。曾获融中财经年度最佳年轻投资人，母基金研究中心年度优秀青年投资人、中国风险投资研究院年度最佳PE投资人奖项。

主持人：

莫凡

莫凡博士，英国皇家特许工程师，欧盟玛丽·居里学者，玛丽·居里学者华人学会联席理事长，研究方向为机器人化智能制造、图神经网络、数字孪生。牛津大学、剑桥大学博士后研究员，牛津大学课程讲师，剑桥大学访问学者，剑桥大学三一学院博士后委员会会员，英国诺丁汉大学硕士生导师，瑞典皇家理工学院、英国拉夫堡大学客座讲师，Journal of Manufacturing Research期刊编委，Journal of Automation and Intelligence 副主编/青年编委，ISoIRS2026机器人大会organizing committee chair。