图片来源： Delve 卡伦 ·考希克（ Karun Kaushik ） 和塞林·科卡拉尔（ Selin Kocalar ）原本没打算这么快进行 A 轮融 资。他们的人工智能合规初创公司 Delve 在今年 1 月刚宣布完成 300 万美元种子轮融资，业务增长迅 猛且客户签约率稳定攀升。 随后，公司首席运营官 Kocalar 向 TechCrunch 透露，投资意向开始纷至沓来。 这家通过 AI 智能体，实现监管合规自动化的企业 Delve 最终收到了多份投资条款书，并以 3 亿美元 估值成功完成了 3200 万美元的 A 轮融资。 本轮融资由 Insight Partners 领投并占据主要份额，同时 获得多家财富 500 强企业首席信息安全官的跟投。 "Insight 是绝佳的合作方，我们认定他们是值得长期携手共进的伙伴， " 这位首席运营官表示。 Delve 的新估值较上一轮跃升约 10 倍。 其客户规模也从 1 月份报告的 100 家企业激增至 500 余家， 其中不乏快速崛起的 AI 初创公司，如新晋 AI 独角兽 Lovable 、 Bland 和 Wispr Flow 。 这家由来自 MIT 、 ...

Core Viewpoint - The European Union's newly released "General Artificial Intelligence Code of Conduct" introduces significant regulatory challenges for the automotive industry, particularly in the context of smart and connected vehicles [3][4]. Group 1: Regulatory Framework - The "Code" serves as an extension of the EU's "Artificial Intelligence Act," focusing on transparency, copyright, safety, and security for AI models used in the automotive sector [4]. - The Code will take effect on August 2, 2025, requiring companies to comply with regulations for AI models built before this date within two years, while models developed after must comply within one year [4]. - The EU adopts a strict risk-based regulatory model, categorizing AI applications into unacceptable, high, medium, and low-risk, with high-risk applications requiring pre-assessment and ongoing monitoring [4]. Group 2: Challenges for the Automotive Industry - Automotive companies must transition from "black box" decision-making to transparent compliance, particularly for Level 2+ autonomous driving systems, which must disclose algorithms, training data sources, and decision logic [5]. - Compliance costs are expected to rise, with estimates indicating a 15%-20% increase in the development costs of intelligent systems per vehicle due to the need for algorithm explainability and real-time monitoring systems [5]. - The automotive sector faces new challenges in copyright compliance and user data governance, necessitating renegotiation of licensing agreements with content copyright holders and ensuring compliance with the EU's General Data Protection Regulation (GDPR) [6]. Group 3: Business Model Innovation - The shift from "data-driven" to "compliance-driven" business models will impact over-the-air (OTA) updates, requiring prior notification to regulatory bodies for changes involving AI model parameters [7]. - Chinese automotive companies exporting to the EU must embed multi-regional compliance modules in their AI systems, ensuring data localization for the EU market [7]. Group 4: Strategic Responses - Automotive companies are advised to establish an AI compliance committee to oversee technical development, legal, and data security departments, and recruit professionals with expertise in EU AI regulations and GDPR [8]. - Long-term strategies should include partnerships with EU-certified open data platforms and content distributors to mitigate infringement risks and the development of lightweight, auditable AI models [9]. - Companies must balance technological innovation with regulatory compliance, as the Code may increase compliance costs but also drive responsible innovation in AI technology [9][10].

近日， 未可知人工智能研究院副院长张孜铭在泰州学院开展了一场主题为"DeepSeek与AI高效使用"的专题讲座 ，为现场师生带来了AI时代下的智能办 公新思路。讲座内容深入浅出，既有理论高度，又有实操指导，受到了广泛好评。 讲座中，张 孜铭 老师系统介绍了生成式AI的发展趋势以及DeepSeek的核心优势。他指出，AI技术正在深刻改变传统办公模式，而DeepSeek凭借 其强大的文本生成与信息处理能力，能够 显著提升工作效率 。通过对比不同AI工具的特点，张孜铭 帮助听众更好地理解指令型模型和推理型模型 的应用场景，为后续的实际操作打下基础。 中航无人机 海污水 管理学院 EDP 中侨 莫大奖 Shanghai HEJIANG MEDIA GROUP 山东广播电视台 Find Us >>>> 在实操环节，张孜铭老师重点讲解了如何通过优化提示词技巧，让DeepSeek高效完成工作报告、邮件撰写、宣传文案等文本任务。他还展示了 DeepSeek与其他AI工具的协同应用 ，例如搜集整理专业信息、制作PPT、生成图片素材和短视频等，让听众直观感受到AI在办公场景中的强大潜 力。 张老师的分享不仅聚焦技术应用，还结合了 ...

Core Viewpoint - The new Anti-Corruption Law marks the beginning of a "penetrative supervision" era in China, emphasizing the protection of enterprise property rights and autonomy, leading to heightened compliance management requirements for companies [1] Group 1: Regulatory Changes - The implementation of the new Anti-Corruption Law and related guidelines indicates a comprehensive strengthening of compliance supervision across various sectors [1] - In 2024, a total of 1,011 listed companies faced penalties for violations, resulting in 2,289 fines amounting to 1.033 billion yuan, with banking, computer, and power equipment industries being the most affected [1] Group 2: Compliance Management Trends - The integration of AI into compliance decision-making reflects a trend towards "regulatory penetration" and "intelligent tools" in compliance management [1] - Companies are urged to establish comprehensive and effective compliance management systems to achieve sustainable development [1] Group 3: Compliance Issues and Training - The article outlines six core modules where compliance issues are most concentrated, highlighting the need for targeted training and risk identification [1] - The "Enterprise Compliance Practice Analysis - 2025 Mid-Year Special" is introduced to assist companies in navigating compliance challenges [1]