记者了解到，该项目由联合国训练研究所、全球数字经济城市联盟、市经信局、经开区管委会共同主 办，联合国可持续发展目标与领导力发展中心承办，为期9天。 联合国训研所多边外交司负责人表示，项目落地北京，十分契合全球数字经济决策者学习前沿转型实 践、借鉴政策落地经验、提升治理能力的核心需求，也期待通过本次项目搭建全球网络主动对接合作。 项目期间，来自各国的学员将聚焦数字治理、AI伦理、智慧交通、数字医疗等前沿议题，参访中科大 脑、奇安信、智谱华章等北京代表性企业。学员可通过政策设计与治理工作坊、产业实践与技术创新工 作坊、区域数字经济项目融资与金融工作坊等形式"沉浸式"学习，并以"北京方案"实践样本为参考，在 导师指导下制定贴合本国或当地城市实际的数字经济政策建议与转型路径。 本次学习过程中，还设置了8场数字经济治理与产业需求国别故事会，以及结业前的成果分享与专家点 评环节，来自不同国家的学员将围绕本国数字经济发展痛点、治理经验展开深度对话，促进跨国界、跨 领域的深度协作，为构建全球数字领导者网络奠定基础。 本报讯（记者 杨天悦）"国际数字经济治理与领军人才能力建设项目"近日在北京科技职业大学正式开 班，将通过课程学 ...

随着我们离 AGI 越来越近，解决 AI 安全问题，愈发迫在眉睫。Anthropic 今天开源了全新的「AI 宪法」，可以指导全世界的模型，什么是好，什么是 坏。解决 AI 安全问题的一个重要尝试已正式诞生。 今天，Anthropic 试图向世界展示它的灵魂。 这份文件并非通常意义上的技术白皮书或用户协议，而是一份直接面向 AI 模型本身「撰写」的价值观宣言。 Anthropic 正式公布了一份长达 84 页的特殊文档——《Claude 宪法》（Claude's Constitution）。 在人工智能的发展史上，这是一个意味深长的时刻。 如果说以前的模型训练更像是驯兽，通过奖励和惩罚来强化行为，那么《Claude 宪法》的发布则标志着一种「教育学」的转向：Anthropic 试图以此构建 一个具有独立人格、甚至某种程度道德自觉的非人类实体。 从「规则」到「性格」，AI 治理的范式转移 过去，AI 公司的安全策略往往依赖于死板的规则列表——比如「不要回答关于制造炸弹的问题」。 但 Anthropic 的研究团队发现，这种基于规则的方法既脆弱又难以泛化。 规则总有漏洞，而现实世界的复杂性远超预设的清单。 《Cl ...

Core Viewpoint - The discussion highlights the divergent paths of AI development between China and the United States, emphasizing the underlying ideological and technical differences that may lead to distinct governance and ethical frameworks in AI [1][5][7]. Group 1: AI Development Paths - The emergence of ChatGPT and DeepSeek represents the contrasting AI development trajectories of the US and China, with the former focusing on "brute force computing" and the latter on "smart computing" [3][5]. - The US relies on a "material science paradigm" for AI, while China is moving towards an "information science paradigm," indicating a fundamental scientific divergence [6][11]. - The differences in AI development are not only technical but also rooted in deeper philosophical beliefs about the relationship between technology and ethics [7][11]. Group 2: Ethical and Governance Considerations - The ethical implications of AI development are significant, with differing views on whether technology should be pursued without ethical constraints or if ethical considerations should be integrated into technological design [7][12]. - The urgency for global cooperation in AI governance is highlighted, as failure to establish common standards could lead to fragmentation similar to historical colonial conflicts [13][19]. - The need for a collaborative approach to AI governance is emphasized, with a focus on embedding human values into AI systems to prevent potential negative outcomes [17][19]. Group 3: Strategic and Economic Implications - The US's "small yard, high wall" policy is pushing Chinese AI companies to adopt alternative, more innovative paths, potentially leading to a competitive advantage in the long run [8][10]. - The discussion suggests that while the US aims for advanced general AI, China is focusing on practical applications of AI across various industries, which may lead to more sustainable development [19][20]. - The concept of a "community of shared future for mankind" is proposed as a framework for fostering cooperation in AI development, which could enhance collective benefits [19][20].

Core Viewpoint - The article emphasizes the importance of "integrity and trustworthiness" as a cultural gene in Jiangsu, which has evolved from a moral advocacy to a stable cultural foundation driving development [1][2]. Group 1: Formation of Integrity Gene - The integrity gene in Jiangsu is shaped by geographical environment, historical evolution, and exemplary figures [2]. - Jiangsu's geographical features, such as its rivers and trade routes, necessitated trust and cooperation, leading to the early emergence of a credit culture [2]. - Historical processes transitioned integrity from a folk custom to a formalized system, particularly during the Ming and Qing dynasties, where regulations emphasized accountability and transparency [3]. Group 2: Unique Aspects of Integrity in Jiangsu - Confucian ethics, particularly the concept of "balancing righteousness and profit," is central to Jiangsu's integrity culture, distinguishing it from other regions [4]. - The tradition of "integrity in business" is exemplified by historical figures like Zhang Jian, who integrated traditional values with modern business practices [5]. Group 3: Modern Transformation of Integrity - Jiangsu has pioneered the establishment of a social credit system, transforming traditional integrity into a modern institutional framework [5][6]. - The integration of technology into the credit system allows for the creation of "credit portraits," enhancing the reliability of trust in a digital age [6]. Group 4: Economic and Governance Impacts - Integrity acts as a catalyst for economic development, optimizing the business environment and reducing transaction costs [8]. - In social governance, credit mechanisms are applied across various sectors, including taxation and healthcare, demonstrating the practical benefits of integrity [9]. Group 5: Future Challenges and Opportunities - The integrity culture in Jiangsu faces challenges from digitalization and globalization, necessitating innovative approaches to maintain its core values [10]. - The evolution of trust in the context of AI highlights the need for a governance framework that balances efficiency with ethical considerations [11].

Social Ethics - The ethical implications of AI "digital resurrection" challenge fundamental concepts of human autonomy and the dignity of the deceased, blurring the lines between biological and social death [2] - The case of a Silicon Valley engineer using GPT-4 to "revive" his deceased wife highlights a profound challenge to human civilization's understanding of death, suggesting that technology may deprive the living of their ability to mourn and move on [2] - Future regulatory frameworks should include mandatory "farewell periods" and clear "non-person" labels to prevent emotional substitution [2] Industry and Business - The high cost of training top-tier AI models creates a "computational wealth gap," making it difficult for small businesses to maintain technological autonomy [3] - Governance should involve establishing a "computational public fund" to subsidize small enterprises and promoting open-source models to balance the competitive landscape [3] - The lack of unified standards in AI applications leads to market confusion and increased R&D costs, necessitating the establishment of dual standards combining technical metrics and ethical guidelines [7][8] Technology Trends - The "hallucination" problem in large models is inherent and cannot be completely eliminated, but can be managed through improved data quality and training methods [8] - The competition between open-source and closed-source models is expected to evolve into a dual structure, with closed-source dominating high-end markets and open-source capturing mid to low-end markets [9] - The integration of edge computing with AI addresses issues of latency, bandwidth, and privacy, significantly impacting industries such as autonomous driving, industrial manufacturing, and healthcare [10][11]

Core Insights - The rise of generative AI has led to an increase in AI-related fraud and misinformation, particularly in the e-commerce sector, highlighting the challenges of distinguishing truth from falsehood in a technologically advanced society [2][4] - A report released at the eighth Woodpecker Data Governance Forum reviews 118 cases of generative AI risks, focusing on the societal trust challenges and ethical dilemmas posed by human-AI interactions [4][5] Group 1: Impact on Society and Individuals - Generative AI has significantly altered the landscape of information production and dissemination, leading to an exponential increase in fake content across personal, industry, and societal levels [5] - AI-generated misinformation has resulted in various forms of fraud, including "AI yellow rumors" and scams targeting vulnerable populations, particularly the elderly [5][6] - The report highlights a case where a PhD student at the University of Hong Kong cited 24 AI-generated fake references in a paper, leading to its retraction and an investigation [6] Group 2: Legal and Ethical Concerns - Instances of lawyers using AI to generate fictitious legal cases have emerged, raising concerns about the integrity of legal proceedings [6] - The report discusses the emergence of a gray industry exploiting generative AI, manipulating data to influence AI model outputs, which can mislead users into believing the information is factual [7] - The ethical implications of AI's "flattering" algorithms are examined, particularly in the context of human-AI relationships and the potential for emotional manipulation [8] Group 3: Regulatory Responses and Recommendations - The report emphasizes the need for global consensus and institutional rules to address the challenges posed by AI-generated misinformation, advocating for stronger platform regulation and cross-border collaboration [7] - Recent lawsuits against AI platforms like Character.AI and OpenAI highlight the legal accountability issues surrounding AI interactions, particularly concerning youth safety [9][10] - Various countries are implementing regulations to protect minors from AI-induced harm, with recommendations for AI products to prioritize user mental health and transparency in design [11]

Core Insights - The event "Dialogue between Shanghai and New York" aims to foster cooperation between the two cities through international organizations, focusing on urban and organizational collaboration [1] Group 1: Role of International Organizations - New York transformed into a global political and economic center post-1945 due to the establishment of the United Nations, which significantly boosted its economy and diversity [2] - The presence of major UN institutions in New York has solidified its status as a global hub for diplomacy and international relations [2] - The collaboration between international cities and organizations is crucial for achieving the UN's sustainable development goals and requires a "chemical reaction" between urban innovation and global expertise [2] Group 2: Shanghai's Position - Shanghai has become a preferred location for over 200 international organizations, including the New Development Bank and the IMF, due to its conducive environment for international collaboration [3] - The Pudong area is particularly attractive for international tech organizations, hosting significant events like the Shanghai International Semiconductor Equipment and Materials Exhibition [3] - Shanghai is creating a supportive ecosystem for international organizations, enhancing service capabilities and establishing long-term partnerships with leading service providers [3][4] Group 3: Future Directions - The establishment of the UNESCO International STEM Education Research Institute in Shanghai highlights the need for showcasing the value of international organizations through forums and collaborations with local universities [5] - There is a push for more international tech organizations to establish headquarters in Shanghai, leveraging China's strengths in emerging technologies [6] - Continuous dialogue between Shanghai and New York through international platforms is expected to enhance cooperation in areas like climate resilience and AI ethics, contributing to global standards and narratives [6]

"问道"由王珏牵头设计，东南大学移动通信全国重点实验室、毫米波全国重点实验室、教育部移动信息 通信与安全前沿科学中心，以及江苏省道德发展智库等跨学科平台共同研发。 作为首个系统级伦理垂域大模型，"问道"构建了覆盖伦理治理全流程的功能矩阵。该模型可作为企业伦 理"审查官"，自动审核商业决策、广告文案、算法模型是否存在伦理风险；也可成为AI研发的合规检测 工具，帮助研究人员在产品设计之初就注入伦理考量，从源头避免偏见和风险；还可作为学生的伦 理"导师"，通过模拟真实的道德困境，培养学生的批判性思维和道德决策能力。 "一项政策的出台，将会影响哪些人，是否会造成对部分群体的不公？企业在进行商业决策、推广品牌 时会不会有伦理风险？AI伦理大模型可以为这些问题提供答案。"在日前举行的"全球首个系统级伦理垂 域大模型'问道'"新闻发布会上，东南大学AI伦理实验室主任、人文学院教授王珏说。 "问道"拥有伦理风险评估与审计、伦理困境模拟与决策推演、伦理对齐辅助设计、动态知识库与案例教 学、伦理学前沿探索与范式革新五大功能，目前免费向用户开放。"它致力于成为用户的伦理思考伙伴 与决策支持系统，旨在帮助科研机构、科技企业、伦理审查 ...

Core Insights - Fei-Fei Li was awarded the Queen Elizabeth Prize for Engineering in Spring 2025 for her foundational contributions to computer vision and deep learning, particularly as a core advocate of the ImageNet project [1][2] - Li emphasizes that engineering is not just about computational power and algorithms, but also about responsibility and empathy, warning against the dehumanization risks posed by AI [2][12] Group 1: Achievements and Contributions - Li's research has enabled machines to perceive the world in a way that closely resembles human vision, marking a significant milestone in AI development [1][8] - The ImageNet project, initiated in 2007, has been pivotal in shifting the paradigm towards data-driven deep learning methods, which became mainstream after the 2012 ImageNet competition [8][9] Group 2: Ethical Considerations and Social Impact - Li advocates for a human-centered approach to AI, stressing that technology must align with human values and needs, and warns against the over-commercialization and militarization of AI [10][12] - She has called for the establishment of ethical regulatory mechanisms for AI, emphasizing the urgency of integrating legal frameworks to ensure responsible AI development [17][20] Group 3: Personal Background and Perspective - Li's immigrant background and experiences as a woman in technology have shaped her unique perspective on the societal implications of AI, allowing her to recognize structural biases within the tech ecosystem [4][22] - Despite her significant contributions, Li expresses discomfort with being labeled as a "godmother of AI," advocating for a broader representation of women in the field [23][29] Group 4: Challenges and Controversies - The ImageNet dataset has faced criticism for potential racial biases, prompting discussions about the ethical implications of AI training data [26][28] - Li's position as a prominent figure in AI raises questions about the balance between human-centered values and the commercial pressures of the tech industry, highlighting the complexities of her role [31][34]

Core Points - Eric Schmidt, former CEO of Google, is recognized for transforming a search engine with annual revenue of less than $1 billion into a global tech giant, earning him the title "King of Silicon Valley" [1] - Schmidt's personal life has been marred by controversy, particularly regarding allegations of moral ambiguity and chaos [1] Group 1: Allegations and Relationships - Michelle Ritter, Schmidt's former mistress, publicly accused him of mental abuse, tracking, and "comprehensive digital surveillance" during their relationship [3] - Schmidt has been married to Wendy Schmidt for 45 years, but their marriage is characterized as an "open marriage," with Wendy no longer involved in his personal affairs [6] - Schmidt's non-cohabiting status has allowed for multiple clandestine relationships with various women, including models and political figures [8] Group 2: Control and Power Dynamics - Sources indicate that Schmidt exhibits strong controlling behavior in his relationships, often using money and resources to maintain them, which portrays him as both "generous" and "controlling" [9] - Ritter's lawsuit claims that Schmidt utilized his wealth and tech background to dominate her life, making it nearly impossible for her to communicate privately [11] Group 3: Impact on Public Image - The allegations against Schmidt have significantly damaged his public image, despite his previous roles in international affairs, charitable projects, and AI ethics committees [13] - A Silicon Valley commentator criticized Schmidt, stating that while his tech empire connects the world, he fails to establish basic respect in personal relationships [13]