BEGIN:VCALENDAR VERSION:2.0 PRODID:-//MCAA//Marie Curie Alumni//EN CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT UID:event-39266@www.mariecuriealumni.eu DTSTAMP:20260926T070942Z DTSTART:20260207T120000Z DTEND:20260207T140000Z SUMMARY:Marie Curie Forum × Oxford Forum: 2026 Spring Special DESCRIPTION:Marie Curie Forum × Oxford Forum: 2026 Spring SpecialFocus: Fi nTech and Corporate Innovation Event BackgroundAgainst the backdrop of a new round of technological revolution and industrial transformation\, Ar tificial Intelligence (AI)\, Big Data\, and digital platform technologies are reshaping the operational mechanisms of financial systems and corpor ate innovation models. FinTech\, represented by Large Language Models (LL Ms) and intelligent algorithms\, has not only significantly enhanced info rmation processing efficiency and decision support capabilities but is al so restructuring corporate risk appetite\, innovation incentive mechanism s\, and the logic of capital allocation.FinTech has evolved from a simple technical tool into critical infrastructure influencing corporate strate gic choices\, innovative behavior\, and market structure. However\, as al gorithms play an increasingly pivotal role in financial decision-making a nd corporate governance\, their ethical boundaries\, risk appetite format ion mechanisms\, and impacts on innovation vitality and long-term economi c efficiency remain subjects requiring deep theoretical exploration and e mpirical research.To respond to these frontier issues\, the Marie Curie A lumni Association (MCAA) China Chapter\, in collaboration with the Zhongg uancun Unicorn Enterprise Development Alliance and the Oxford Chinese Stu dents and Scholars Association (OXCSSA)\, is proud to launch the "\;M arie Curie Forum × Oxford Forum"\; Spring Special in the spring of 2 026. 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 fi nancial decision-making\, venture capital\, and corporate innovation. Ab out the "\;Marie Curie Forum"\; SeriesThe "\;Curie Forum" \; series is dedicated to establishing a joint brand for high-level Sino- European academic exchange. It aims to build a cross-regional\, interdisc iplinary bridge of thought\, promoting deep cooperation between European universities and Chinese research institutions in frontier fields. The se ries seeks to gradually construct a new global ecosystem for academic exc hange\, jointly exploring new opportunities for scientific innovation and social development. Speaker Profiles Professor Shumiao OuyangAssociate Professor of Finance\, Saïd Business School\, University of OxfordShumi ao Ouyang is an Associate Professor of Finance at the Saïd Business Scho ol\, University of Oxford. He earned his Ph.D. in Economics from Princeto n University\, a Master’s in Finance from Peking University\, and compl eted dual Bachelor’s degrees in Biology and Economics at Tsinghua Unive rsity.Since 2018\, he has collaborated with renowned big tech companies\, including Ant Group and Alibaba\, leveraging his expertise to deeply res earch the evolving landscape of finance and technology. His research prim arily focuses on AI\, FinTech\, household finance\, data privacy\, and fi nancial intermediation\, with a special interest in the emerging field of Big Tech Finance. As an economist\, he is dedicated to exploring the com plex 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 Mo delsAbstract: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 al ignment tuning centered on harmlessness\, helpfulness\, and honesty syste matically increases the models'\; risk aversion. For every 10% increa se in ethical score\, risk appetite decreases by approximately 2% to 8%. This introduced caution persists across different prompts and affects eco nomic forecasting. Consequently\, while alignment enhances safety\, it ma y also suppress valuable risk-taking\, revealing a trade-off that could l ead to suboptimal economic outcomes. Our research framework provides an a daptable and long-term benchmark for continuously tracking model risk pre ferences and this emerging trade-off relationship. Professor Li LipingVi siting Scholar\, Department of International Development\, University of OxfordAssociate Professor\, School of Business\, Chengdu UniversityDr. Li Liping is a Visiting Scholar at the University of Oxford'\;s Departm ent 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 Supe rvisor at the School of Business\, Chengdu University.She serves as an ex pert 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 Technolog y City Industrial Technology Research Institute\, and a director of the S ichuan Systems Engineering Society. Dedicated to research in technologica l innovation management\, she focuses on open innovation and the transfor mation of scientific and technological achievements.She has presided over four national\, provincial\, and ministerial-level projects\, numerous h orizontal projects\, and participated in five national-level research pro jects. 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 suc h as Humanities and Social Sciences Communications and serves as a review er for Research in International Business and Finance.Presentation Title: Research on Collusive Behavior Between Venture Capitalists and Entreprene urs Based on Personal RelationshipsAbstract:In the development of venture capital (VC)\, there are numerous issues that cannot be ignored\, includ ing "\;collusive behavior"\; between venture capitalists and entr epreneurs. Specifically\, collusive behavior in VC activities refers to i mproper conduct where VCs and entrepreneurs seek personal gain at the exp ense of minority shareholder interests\, thereby increasing corporate ope rational risk. Collusive behavior not only misleads investors into making erroneous decisions but also reduces the positive impact of venture capi tal on innovation and entrepreneurial activities. Therefore\, identifying and governing collusive behavior between VCs and entrepreneurs\, and mit igating its adverse effects\, are issues worthy of attention and discussi on 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 fo cuses on collusive behavior from the perspective of personal relationship s\, utilizing Social Identity Theory\, Social Exchange Theory\, and Pro-r elational Unethical Behavior Theory. By comprehensively analyzing the imp act of personal relationships on collusion\, as well as the formation mec hanisms and corporate governance measures for relationship-based collusio n\, this study provides a decision-making basis for enterprises and gover nments to prevent and govern such behavior. Centering on these research c ontents\, 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\, e mpirical methods are used to verify the hypotheses. Based on the conclusi ons\, relevant suggestions are proposed for the prevention of collusion a nd corporate governance under the influence of personal relationships. X u JunmingFounding Partner\, General Manager\, &\;amp\; Director\, Xich eng Zhiyuan Private Equity Fund Management Co.\, Ltd.(A holding enterpris e under the State-owned Assets Supervision and Administration Commission of Beijing Xicheng District)Mr. Xu serves as the Deputy Director of the F inancial Committee of the China National Democratic Construction Associat ion (Beijing Dongcheng District) and a Director at CASIC Space Engineerin g Development Co.\, Ltd. He holds a Bachelor'\;s degree in Economics from Wuhan University and a Master'\;s in Accounting from Renmin Univ ersity of China.He is a Special Researcher at the Huaxia New Supply Econo mics Research Institute and a special commentator for CCTV Finance Channe l and CNR "\;Voice of the Economy."\; Mr. Xu also serves as an ad junct master'\;s supervisor at Wuhan University\, Beijing Normal Univ ersity\, and Minzu University of China.Professional Qualifications &\; amp\; Honors:Senior EconomistCGMA (Chartered Global Management Accountant )FCPA (Fellow of CPA Australia)FCMA (Fellow of the Chartered Institute of Management Accountants\, UK)Professional Certifications: NVIDIA Generati ve AI\, Microsoft AI\, Alibaba Cloud Expert.Awards: Host: Dr. Fan MoChar tered Engineer\, EU Marie Curie Fellow\, Vice Chair of the Marie Curie Al umni Association China ChapterDr. Mo'\;s research interests include r obotic intelligent manufacturing\, Graph Neural Networks (GNN)\, and Digi tal Twins. He has served as a Postdoctoral Researcher at the University o f Oxford and the University of Cambridge\, a Course Lecturer at the Unive rsity 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 a nd a Guest Lecturer at KTH Royal Institute of Technology and Loughborough University. Additionally\, he holds editorial roles for the Journal of M anufacturing Research and the Journal of Automation and Intelligence\, an d serves as the Organizing Committee Chair for the ISoIRS 2026 Robotics C onference.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 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 语言模型和智能算法为代表的金融科技，不仅显著提 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 纯的技术工具，逐步演化为影响企业战略选择、创新 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 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 发展联盟、牛津中国学生学者联谊会，于2026年新春之 共同推出“居里讲坛 × 津城讲坛”新春特辑，聚焦“ 融科技与企业创新”，特别邀请来自学术界与产业界 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 讲坛”致力于打造中欧高水平学术交流的联合品牌， 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 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。 在普林斯顿大学获得经济学博士学位，在北京大学获 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 研究金融与技术不断演变的格局。欧阳书淼的研究主 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 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 要：大语言模型在经济决策任务中表现出多样且稳定 风险偏好，但这种差异的成因尚不清楚。基于对 50 个 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 引入的谨慎性在不同提示下仍然存在，并会影响经济 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 。我们的研究框架为持续跟踪模型风险偏好及这一新 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 副教授国家级四川知识产权运营中心专家智库成员李 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， 士生导师，国家级四川知识产权运营中心专家智库成 ，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 管理研究，重点聚焦于开放式创新、科技成果转化等 究方向。先后主持国家级省部级及厅局级课题4项，横 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 学术论文20篇。以第一作者身份在《Humanities and Social Sc iences Communications》等国际、国内学术期刊上发表高水平 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 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 利益，增加企业经营风险的不正当行为。合谋行为不 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 资家与创业企业家的合谋行为，降低合谋行为带来的 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“ 序格局”的特点，本文根据社会认同理论、社会交换 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 风险投资家与创业企业家合谋行为的影响，以及基于 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 内容，本文通过理论推理、演绎归纳等方法提出研究 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 究假设是否成立。结合研究结论，提出对私人关系下 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 西城区国资委旗下控股企业）创始合伙人、总经理、 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 会计专业硕士，华夏新供给经济研究院特邀研究员， 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 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 融中财经年度最佳年轻投资人，母基金研究中心年度 秀青年投资人、中国风险投资研究院年度最佳PE投资人 项。主持人：莫凡莫凡博士，英国皇家特许工程师， 盟玛丽·居里学者，玛丽·居里学者华人学会联席理事 ，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 师，剑桥大学访问学者，剑桥大学三一学院博士后委 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 Resear ch期刊编委，Journal of Automation and Intelligence&\;nbsp\;副主 编/青年编委，ISoIRS2026机器人大会organizing committee chair。 \nRead more: https://www.mariecuriealumni.eu/webinars/marie-curie-forum-o xford-forum-2026-spring-special X-ALT-DESC;FMTTYPE=text/html:Marie Curie Forum Oxford Forum: 2026 Spring SpecialFocus: FinTech and Corporate Innovatio n Event BackgroundAgainst the backdrop of a new round of technological r evolution and industrial transformation, Artificial Intelligence (AI), Bi g Data, and digital platform technologies are reshaping the operational m echanisms of financial systems and corporate innovation models. FinTech, represented by Large Language Models (LLMs) and intelligent algorithms, h as not only significantly enhanced information processing efficiency and decision support capabilities but is also restructuring corporate risk ap petite, innovation incentive mechanisms, and the logic of capital allocat ion.FinTech has evolved from a simple technical tool into critical infras tructure influencing corporate strategic choices, innovative behavior, an d market structure. However, as algorithms play an increasingly pivotal r ole 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 dee p theoretical exploration and empirical research.To respond to these fron tier issues, the Marie Curie Alumni Association (MCAA) China Chapter, in collaboration with the Zhongguancun Unicorn Enterprise Development Allian ce 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 gue sts from both academia and industry to engage in deep exchange and intell ectual collision regarding AI-driven financial decision-making, venture c apital, and corporate innovation. About the "Marie Curie Forum& amp;quot; SeriesThe "Curie Forum" series is dedicated t o establishing a joint brand for high-level Sino-European academic exchan ge. It aims to build a cross-regional, interdisciplinary bridge of though t, promoting deep cooperation between European universities and Chinese r esearch institutions in frontier fields. The series seeks to gradually co nstruct a new global ecosystem for academic exchange, jointly exploring n ew opportunities for scientific innovation and social development. Speak er Profiles Professor Shumiao OuyangAssociate Professor of Finance, Saï d Business School, University of OxfordShumiao Ouyang is an Associate Pro fessor 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 i n Biology and Economics at Tsinghua University.Since 2018, he has collabo rated with renowned big tech companies, including Ant Group and Alibaba, leveraging his expertise to deeply research the evolving landscape of fin ance and technology. His research primarily focuses on AI, FinTech, house hold finance, data privacy, and financial intermediation, with a special interest in the emerging field of Big Tech Finance. As an economist, he i s dedicated to exploring the complex relationship between finance and tec hnology, revealing its profound economic implications in our rapidly digi tizing world.Presentation Title:AI as a Decision Maker: Ethics and Risk P references of Large Language ModelsAbstract:Large Language Models (LLMs) exhibit diverse and stable risk preferences in economic decision-making t asks, yet the causes of these differences remain unclear. Based on a stud y of 50 LLMs, we find that alignment tuning centered on harmlessness, hel pfulness, and honesty systematically increases the models' risk aversion. For every 10% increase in ethical score, risk appetite decrease s by approximately 2% to 8%. This introduced caution persists across diff erent prompts and affects economic forecasting. Consequently, while align ment enhances safety, it may also suppress valuable risk-taking, revealin g a trade-off that could lead to suboptimal economic outcomes. Our resear ch framework provides an adaptable and long-term benchmark for continuous ly tracking model risk preferences and this emerging trade-off relationsh ip. Professor Li LipingVisiting Scholar, Department of International Dev elopment, University of OxfordAssociate Professor, School of Business, Ch engdu UniversityDr. 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, a nd holds a Ph.D. from Sichuan University. She is an Associate Professor a nd Master's Supervisor at the School of Business, Chengdu Univer sity.She serves as an expert in the National Sichuan Intellectual Propert y Operation Center Think Tank, a think tank expert in the field of scient ific and technological achievement transformation for the China (Mianyang ) Science and Technology City Industrial Technology Research Institute, a nd a director of the Sichuan Systems Engineering Society. Dedicated to re search in technological innovation management, she focuses on open innova tion and the transformation of scientific and technological achievements. She has presided over four national, provincial, and ministerial-level pr ojects, numerous horizontal projects, and participated in five national-l evel research projects. She has published two academic books and, in the last five years, 20 high-level academic papers in SSCI/SCI indexed journa ls and domestic academic journals. She has published as the first author in journals such as Humanities and Social Sciences Communications and ser ves as a reviewer for Research in International Business and Finance.Pres entation Title:Research on Collusive Behavior Between Venture Capitalists and Entrepreneurs Based on Personal RelationshipsAbstract:In the develop ment of venture capital (VC), there are numerous issues that cannot be ig nored, including "collusive behavior" between venture c apitalists and entrepreneurs. Specifically, collusive behavior in VC acti vities refers to improper conduct where VCs and entrepreneurs seek person al gain at the expense of minority shareholder interests, thereby increas ing corporate operational risk. Collusive behavior not only misleads inve stors into making erroneous decisions but also reduces the positive impac t of venture capital on innovation and entrepreneurial activities. Theref ore, identifying and governing collusive behavior between VCs and entrepr eneurs, and mitigating its adverse effects, are issues worthy of attentio n and discussion in both theory and practice.Combining the principal-agen t relationship in VC activities with the "Differential Mode of A ssociation" (Cha Xu Ge Ju) characteristic of Chinese social netw orks, this paper focuses on collusive behavior from the perspective of pe rsonal relationships, utilizing Social Identity Theory, Social Exchange T heory, and Pro-relational Unethical Behavior Theory. By comprehensively a nalyzing the impact of personal relationships on collusion, as well as th e formation mechanisms and corporate governance measures for relationship -based collusion, this study provides a decision-making basis for enterpr ises and governments to prevent and govern such behavior. Centering on th ese research contents, the paper proposes hypotheses through theoretical reasoning and deductive induction. Using Chinese GEM (Growth Enterprise M arket) 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 relati onships. Xu JunmingFounding Partner, General Manager, & Dire ctor, Xicheng Zhiyuan Private Equity Fund Management Co., Ltd.(A holding enterprise under the State-owned Assets Supervision and Administration Co mmission 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 E ngineering Development Co., Ltd. He holds a Bachelor's degree in Economics from Wuhan University and a Master's in Accounting fr om Renmin University of China.He is a Special Researcher at the Huaxia Ne w 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 Universit y, Beijing Normal University, and Minzu University of China.Professional Qualifications & Honors:Senior EconomistCGMA (Chartered Globa l Management Accountant)FCPA (Fellow of CPA Australia)FCMA (Fellow of the Chartered Institute of Management Accountants, UK)Professional Certifica tions: NVIDIA Generative AI, Microsoft AI, Alibaba Cloud Expert.Awards: Host: Dr. Fan MoChartered Engineer, EU Marie Curie Fellow, Vice Chair of the Marie Curie Alumni Association China ChapterDr. Mo's researc h interests include robotic intelligent manufacturing, Graph Neural Netwo rks (GNN), and Digital Twins. He has served as a Postdoctoral Researcher at the University of Oxford and the University of Cambridge, a Course Lec turer at the University of Oxford, and a Visiting Scholar at the Universi ty of Cambridge, where he was a member of the Postdoctoral Society of Tri nity 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 t he Journal of Manufacturing Research and the Journal of Automation and In telligence, and serves as the Organizing Committee Chair for the ISoIRS 2 026 Robotics Conference.Live Streaming Link:https://meeting.tencent.com/d m/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 据与数字平台技术正重塑金融体系运行机制与企业创 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 企业的风险偏好、创新激励机制与资本配置逻辑。金 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 算法在金融决策与企业治理中扮演愈发关键的角色， 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 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 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 与中国科研机构在前沿领域的深度合作，逐步构建面 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 金融学副教授欧阳书淼是牛津大学赛德商学院的金融 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 与经济学双学士学位。自2018年以来，他与包括蚂蚁集 和阿里巴巴在内的知名大科技公司展开合作，运用其 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 隐私以及金融中介，特别关注于新兴的大科技金融领 。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 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 对 50 个大语言模型的研究，我们发现，围绕无害性、 用性和诚实性的对齐调优，会系统性地提高模型的风 厌恶程度。伦理评分每提高10%，风险偏好就会下降约2% 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 抑制有价值的风险承担，揭示出一种可能导致次优经 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 的基准。李丽萍教授牛津大学国际发展系访问学者成 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 经济管理学院博士后，四川大学博士，成都大学商学 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 果转化领域智库专家，四川省系统工程学会理事。致 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 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 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 表高水平学术论文，担任《Humanities and Social Sciences Commu nications》、《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 企业家合谋行为研究报告摘要：在风险投资发展过程 ，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 而言是指风险投资家与创业企业家为双方谋取私利， 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 险投资对创新创业活动的积极作用。因此，如何识别 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 题。结合风险投资活动中的委托代理关系和中国社会 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 于风险投资家与创业企业家的合谋行为。通过全面分 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 ，为企业和政府预防和治理合谋行为提供决策依据。 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 司为研究样本，以2009年-2021年作为观察窗口，通过实 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 理的相关建议。许峻铭许峻铭，熙诚致远私募基金管 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 空间工程发展有限公司董事，武汉大学经济学学士， 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 大学、北京师范大学、中央民族大学兼职硕士导师， 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 专业认证，微软人工智能专业认证，阿里云云计算专 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 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 、数字孪生。牛津大学、剑桥大学博士后研究员，牛 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 家理工学院、英国拉夫堡大学客座讲师，Journal of Manufa cturing Research期刊编委，Journal of Automation and Intelligence& ;amp;nbsp;副主编/青年编委，ISoIRS2026机器人大会organizing co mmittee chair。
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