超10万人的国内最大区块链开源生态社区，富集学界名师、行业专家和实践案例；国内最完整的自主可控区 块链课程体系，线下学习与云端实训相结合……北京青年报记者了解到，一套区块链人才培养课程体系目前 已覆盖北大、北航、北理工等10余所在京高校的上千名学生，并计划在明年推广至京津冀地区30余所高校， 为不断提速壮大的国家级区块链网络厚植人才根基。 编辑/胡克青 据高精尖中心相关负责人介绍，这套区块链课程体系计划在2026年春季学期推广至京津冀地区30余所高校， 将惠及更多高校学生。高精尖中心日前还启动了"长安链开发大赛"，设"应用实践"与"前沿探索"双赛道，既 鼓励学生解决现实世界的复杂问题，也引导他们勇闯技术"无人区"。 未来区块链与隐私计算高精尖创新中心依托北京微芯研究院与北京航空航天大学共同建设，以我国自主可 控、性能领先的区块链软硬件技术体系"长安链"迭代升级和未来发展为核心任务，为国家级区块链网络等重 大战略工程提供人才与智力支撑。 文/北京青年报记者 雷嘉 作为一门前沿信息技术，区块链已进入不少高校的课堂。但理论多、实践浅，与实际应用脱节的问题也开始 凸显出来。针对这一问题，在未来区块链与隐私计算高精尖创 ...

针对当前部分高校区块链课堂存在"理论多、实践浅"的情况，今年9月，北航、北理工等高校的近千名 大学生迎来我国首套自主可控区块链课程体系，包括《区块链基础与长安链开发实践教材》，集成了丰 富模块的云端实训平台，近百份难度分级、步骤详尽的实验指导手册等。这套课程体系由30余位权威专 家编纂。 高精尖中心还精心打造了"长安链开发特训营"，吸引了北大、北航、北理工等高校的300余支队伍报 名。特训营创新设计了"产业专家引领+真实项目驱动"的模式，企业导师带领学生体验实际项目的完整 研发流程。 高精尖中心相关负责人表示，自主可控区块链课程体系计划在2026年春季学期推广至京津冀地区30余所 高校，将惠及更多学生。同时，高精尖中心还正式启动"长安链开发大赛"，设立"应用实践"与"前沿探 索"双赛道，鼓励学生锤炼工程实践能力。 新京报讯(记者张璐)11月24日，记者从未来区块链与隐私计算高精尖创新中心(以下简称高精尖中心)获 悉，该中心建立的凸显"实训、实操"的高水平区块链人才培养范式，已覆盖北大、北航、北理工等10余 所高校的上千名学生。明年春季，我国首套自主可控区块链课程体系计划推广至京津冀地区30余所高 校。 高精尖 ...

Core Points - The 2025 Global Digital Business Conference will be held from November 25 to 26 in Shanghai, focusing on building a high-level cooperation platform for the global digital economy [1][2] - The conference will feature a new structure with four main components: conference, business, exhibition, and application, aiming to enhance collaboration and showcase digital economy innovations [1] Group 1 - The theme of the conference is "Connecting Global Business for a Boundless Future," emphasizing the market-oriented reform of data elements [1][2] - The conference will include a multi-layered exchange format with main forums, thematic forums, and closed-door meetings, promoting in-depth discussions [1] - A "2+365" service model will be introduced to create a continuous collaboration platform, ensuring ongoing engagement beyond the event [1] Group 2 - Six highlights of the conference include the integration of competitions, the release of over 70 important research results and industry standards, and a focus on cutting-edge technologies like blockchain and privacy computing [1] - The event aims to strengthen global cooperation and promote deep exchanges in the digital economy, contributing to the national integrated data market [2] - Shanghai's strategy includes transforming data resources and application scenarios into new drivers for enhancing urban capabilities and competitiveness [2]

坚持人类主导的原则，尤其在涉及生命健康、重大财产和伦理敏感等领域 文 | 鲁晓 李瑞 当机器不再只是工具，而是具备一定自主性、可与人类共同决策和创造价值的智能体，传统的人机边界 趋于动态和模糊，相关伦理治理议题也逐渐进入公众视野。尤其是在责任划分、隐私保护和社会就业等 问题上，具身智能的应用带来了一系列需要关注与探讨的新课题。 构建系统化、前瞻性的伦理治理框架，有助于为人机协同发展提供清晰导向，也是增强社会信任与技术 接受度的重要基础。当前，科研界产业界需协同构建有效治理体系的中国方案，为推动具身智能规范发 展提供理论支撑和实践指导。 一是大模型的"黑箱"特性使得决策过程不易完全解释和预测。即使是系统设计者，也无法确保完全掌控 系统的所有行为。这种技术特性与建立清晰法律责任体系的要求之间存在需要调试空间。例如在自动驾 驶、医疗机器人、工业机器人等典型场景中，具身智能的发展对传统责任认定机制提出优化要求。传统 的产品责任体系基于人为设计、机器执行的模式，责任主体相对明确，而具身智能系统的自主学习和决 策能力使得这一体系面临挑战。 为推进解决该问题，学界和业界提出了多种方案，包括建立AI保险制度、设立算法透明度要 ...

Group 1 - The 2025 Global Digital Business Conference will be held in Shanghai from November 25 to 26, focusing on market-oriented allocation of data elements and innovative applications of digital technology [1] - The conference aims to build a collaborative innovation platform by gathering top global digital economy talents, businesses, and research institutions, contributing to the construction of a data element system in China [1][2] - The agenda includes a main forum, eight thematic forums, six closed-door meetings, 17 special sub-forums, and eight sub-venues, covering topics such as integrated national data market construction and future digital intelligence [1] Group 2 - During the conference, a national finals award ceremony for the "Data Element ×" competition will be held, promoting deep connections between winning teams and capital, policies, and industries [2] - Over 70 authoritative pieces of information, including research reports and industry standards, will be released, focusing on the reform of market-oriented allocation of data elements [2] - The conference will feature over 200 digital business enterprises showcasing cutting-edge application results and case studies, discussing strategic layouts and industrial opportunities for digital China during the 14th Five-Year Plan period [2]

Core Insights - The urban trusted data space is a government-led data infrastructure that facilitates the development and utilization of urban data resources, serving as a key carrier for trusted data space [1][2] Development Drivers - **Policy**: The establishment of urban trusted data spaces is encouraged through a series of top-level designs and strategic plans aimed at promoting the compliant and efficient circulation of data [4][5] - **Technology**: Privacy computing and blockchain technology are introduced to address the challenges of trusted data circulation, enabling data sharing while ensuring compliance and security [5][6] - **Demand**: Urban areas face challenges in data resource development and utilization, which the trusted data space aims to address by providing a secure and compliant environment for data circulation [8] Value Proposition - The urban trusted data space aims to break down data circulation barriers, activate the potential of data elements, and promote the modernization of urban governance [11] Overall Framework - The urban trusted data space is built around a foundational infrastructure, two major platforms, and aims to empower urban digital transformation [13] Core Capabilities - The core capabilities of the urban trusted data space include trusted control, resource interaction, and value co-creation, which are essential for establishing a trusted data circulation infrastructure [16] Industry Chain and Ecosystem - The urban trusted data space involves five main entities: operators, data providers, data users, data service providers, and regulatory bodies, each playing a crucial role in the ecosystem [21] Competitive Landscape - In the technical service sector, comprehensive and specialized service providers compete, with ICT background cloud service providers leading the market [24] Application Scenarios - **Government Services**: The urban trusted data space facilitates inter-departmental data connectivity, enhancing government services and decision-making [27] - **Inclusive Finance**: By integrating government and financial data, the urban trusted data space supports the development of dynamic risk assessment models for inclusive finance [30] Case Studies - **Zhangjiakou Trusted Data Space**: This initiative employs a "one space, four platforms, one system" architecture to support the secure circulation of public and social data [33][35] - **Shanghai Trusted Data Space**: This project leverages blockchain technology to meet the complex data needs of a megacity, facilitating the secure and efficient use of data [37][39] Technical Trends - AI technology is becoming a key driver in enhancing data governance efficiency within urban trusted data spaces, transitioning from manual to automated governance strategies [42] Future Trends - The urban trusted data space is expected to evolve from pilot projects to a collaborative ecosystem, attracting industry and enterprise participation to explore vertical applications [44][45]

Core Insights - Ant Group's Ant Misan has been awarded the "Outstanding Contribution Award" at the 2025 World Internet Conference for its innovative privacy-preserving computing technology, which enables low-cost and trustworthy data circulation for over ten million users [1][5] - The company has made significant advancements in privacy computing technology since 2016, culminating in the establishment of Ant Misan in June 2024 to promote the large-scale application of its state-of-the-art computing technology [1][2] Technology and Applications - Ant Misan's state computing technology has drastically reduced data processing costs to within 1.5 times that of plaintext distributed computing, addressing traditional privacy computing cost challenges [1][2] - The technology has been successfully implemented in various projects, including the first "Medical Insurance + Commercial Insurance" settlement center in Beijing, which enhances claims efficiency for over ten commercial insurance companies, and the "Farmer Instant Loan" project, benefiting over 13 million farmers [2] - Ant Misan has introduced a high-order program (HOP) that integrates natural language and programming language to improve the reliability of large models in specialized applications, addressing issues like "hallucination" and "scale collapse" [3] Data Security and Trust - The company emphasizes the importance of a trustworthy data circulation system in the AI era, transitioning from "subject trust" to "technical trust" to encourage data providers to share high-value sensitive data securely [3] - Ant Misan has launched the industry's first trusted data space, ensuring that data remains in a secure state and cannot be misused by service providers [3][4] Infrastructure Development - Ant Misan is working on a comprehensive transformation of "chips, systems, and platforms" to support trusted data circulation in the AI era, including the release of an AI state upgrade card that converts existing plaintext computing power into state computing power without hardware changes [4] - The company has also developed an open-source operating system, Xingzhan, which significantly enhances security compared to mainstream operating systems like Linux [4] Recognition and Future Directions - The "Outstanding Contribution Award" was established in 2024 to recognize significant contributors in the global internet field, with Ant Misan among 14 companies awarded for its growth potential [5] - Ant Misan's leadership highlights the need to address security threats in data circulation and aims to deepen its involvement in the technological transformation of the AI era [2]

Core Insights - The report "ESG Data Assetization: Risks and Governance White Paper (2025)" focuses on the development of ESG data assetization at the intersection of the digital economy and green transformation, providing a comprehensive guide for industry development [1][3]. Group 1: ESG Data Assetization Overview - ESG data assetization involves transforming decentralized, unstructured ESG-related data into digital assets with clear ownership, quantifiable value, and tradability through processes such as collection, cleansing, rights confirmation, evaluation, pricing, and trading [1][27]. - The economic significance of ESG data assetization includes enhancing asset pricing efficiency, attracting long-term capital, fostering green financial innovation, empowering supply chain risk management, and providing data support for government regulation and policy-making [1][28]. Group 2: Policy Environment and International Trends - Domestic ESG information disclosure has transitioned from voluntary guidelines to mandatory regulations, establishing clear compliance boundaries [2][33]. - Internationally, three main frameworks—EU CSRD, US SEC climate rules, and ISSB standards—coexist, showing a trend towards unified disclosure standards while differing in substantive principles and focus [2][34]. Group 3: Technological Support and Implementation Path - The lifecycle of ESG data assetization encompasses five stages: data source aggregation, collection and preprocessing, governance and quality control, analysis and modeling, and service application, with cutting-edge technologies like privacy computing, blockchain, and artificial intelligence playing crucial roles [2][38]. - Privacy computing ensures data is usable but not visible, blockchain guarantees trustworthy data storage and traceability, and AI aids in processing vast amounts of data for value extraction [2][40]. Group 4: Governance Framework - The white paper proposes a multi-level collaborative governance framework based on three core principles: safety, efficiency, and fairness, which includes national data governance committees, top-level legal regulations, industry standards, market constraints, public supervision, and internal controls within enterprises [2][49]. - Effective governance requires a dynamic regulatory technology (RegTech) system that utilizes automated reporting, intelligent monitoring, and penetrative regulation to manage ESG data throughout its lifecycle [2][50]. Group 5: Strategic Outlook and Future Path - The report emphasizes the need for consensus among various stakeholders through technological innovation, regulatory improvement, and collaborative governance to build a trustworthy, inclusive, and sustainable ESG data ecosystem [3][30]. - It highlights the importance of ESG data assetization as a key node in bridging the gap in green finance, addressing challenges such as value measurement, risk assessment, and circulation [3][30].

Core Insights - The traditional pharmaceutical industry faces significant challenges with lengthy R&D processes and high costs, while AI is emerging as a transformative force to enhance efficiency and capabilities [1][5] - Hu-mAtrIx™ AI platform by Heptares Therapeutics has been launched, marking a significant advancement in AI-driven drug development [1] - The establishment of the AI + Biopharmaceutical Ecosystem Alliance aims to foster collaboration across the industry, enhancing data sharing and innovation [1][5] AI's Impact on Drug Development - AI is revolutionizing drug development by optimizing antibody affinity, specificity, and stability, leading to improved efficacy and reduced side effects [1] - AI applications span from target discovery to clinical trials, significantly reducing costs and time in the drug development process [2] - AI can design complex proteins that traditional methods struggle to create, showcasing its potential to unlock new therapeutic avenues [2] Clinical Trial Enhancements - AI has achieved over 80% accuracy in patient profiling and clinical protocol matching, approaching human expert levels [3] - The integration of AI in clinical trial recruitment can save approximately 40% of the time required for patient enrollment [3] Collaborative Efforts and Industry Transformation - Heptares Therapeutics has initiated partnerships with various companies to enhance AI applications in drug discovery, emphasizing the need for a holistic approach rather than isolated advancements [4] - The AI alliance aims to address the critical challenge of translational prediction in drug development, which has historically been a major risk factor [4][5] - The alliance's focus on data interoperability among pharmaceutical companies, hospitals, and research institutions is crucial for maximizing AI's potential in drug development [5]

Group 1 - Apple's stock price reached a new high of $269.98, with a market capitalization surpassing $4 trillion, making it the third company to join the "trillion-dollar club" after Nvidia and Microsoft [1] - Since the launch of the latest iPhone series on September 9, Apple's stock has increased by approximately 13%, marking a shift from decline to growth for the first time this year [1] - Strong demand for the new iPhone has boosted market confidence and alleviated investor concerns regarding Apple's slower pace in the AI competition [1] Group 2 - The sales performance of the new iPhone series is the primary driver behind the rebound in Apple's stock price, with early sales in the U.S. and European markets up about 14% compared to the previous generation [2] - The iPhone remains Apple's most important profit engine, with hardware sales expanding the long-term user base and enhancing customer loyalty [2] - Analysts expect strong iPhone demand to lead to better-than-expected performance for Apple's September quarter, with a positive outlook for the December quarter [2] Group 3 - Apple is gradually restoring market trust through new product features and privacy computing strategies, with the latest iPhone integrating generative AI capabilities and higher-performance chips [3] - Unlike competitors focusing on cloud AI, Apple emphasizes localized computing and data privacy, aiming to balance user experience and data security [3] - Despite facing supply chain and cost challenges, Apple is absorbing some costs to maintain stable pricing, which may impact short-term profit margins but helps solidify its high-end market share [3]