专访清华周道许：AI于金融是一把“双刃剑”，如何握住剑柄？

Core Insights - Artificial Intelligence (AI) is reshaping the financial industry by enhancing efficiency and effectiveness while also introducing challenges such as algorithmic opacity and systemic risks [1][4][7] Group 1: AI Integration in Finance - The application of AI in finance is evolving from an auxiliary role to one of collaboration and even autonomous decision-making, transitioning the industry from an "experience-driven" to a "data-driven + algorithm-driven" paradigm [1][6] - The Chinese government is promoting the integration of AI with finance, emphasizing the need for a clear and flexible regulatory framework to guide this development [1][4] Group 2: Governance and Regulation - AI governance in finance should focus on controllability, trustworthiness, and sustainability, with key dimensions including algorithm compliance and transparency, data governance, and privacy protection [4][5] - A dynamic risk monitoring system is essential to address new systemic risks arising from AI, such as model homogeneity and algorithmic resonance [5][7] - Ethical norms and responsibility identification are crucial, advocating for a principle of "human accountability" in AI decision-making processes [5][7] Group 3: Future Potential of AI in Finance - AI's future applications in finance are expected to expand from process optimization to decision reconstruction, playing a critical role in investment decisions and risk management [6][8] - The integration of AI with various data sources will lead to the creation of "scene financial intelligent bodies," enhancing real-time analysis and decision-making capabilities [6][8] Group 4: Addressing New Risks - New risks associated with AI include model risk, data pollution, and ethical issues, necessitating the development of diverse algorithms and robust AI safety defense technologies [7][8] - The rapid evolution of AI technology outpaces regulatory updates, highlighting the need for regulatory technology (RegTech) to monitor AI effectively [8][9] Group 5: Balancing Innovation and Regulation - Achieving a balance between innovation and regulation is essential, with recommendations for regulatory sandboxes and intelligent regulatory platforms to facilitate safe AI experimentation [10][11] - A tiered regulatory approach based on risk levels and technology maturity is advocated to ensure a supportive environment for innovation while maintaining safety [11] Group 6: Talent Development in AI - The financial sector's talent requirements are evolving, necessitating a shift in educational focus towards a blend of finance, technology, and ethics to prepare future professionals [12] - Educational institutions should foster practical experience through collaboration with financial and tech companies, emphasizing critical thinking and innovative leadership skills [12]