9月24日，北京市第二十中学附属育鹰小学学生在活动开幕式上表演快板《战鹰集结》。 9月24日，老师为北京市第二十中学附属育鹰小学学生教授国防教育基础课《延安，我把你追寻》。 9月24日，老师为北京市第二十中学附属育鹰小学学生教授人工智能教育通识课《瓷韵中的算法密码》。 9月24日，北京市第二十中学附属育鹰小学学生在人工智能教育通识课《从国防到生活——AI人脸识别》了解人脸识别技术。 9月24日，北京市第二十中学附属育鹰小学学生在国防教育基础课《侦察兵大比武——投掷与游戏》上投掷。 ...

Core Viewpoint - The article outlines China's strategic plan to advance towards an intelligent economy and society by 2035, emphasizing the need for a systematic support framework encompassing technology innovation, policy regulations, talent cultivation, and open cooperation [1][5]. Group 1: Technology Foundation - The establishment of a "data-computing-algorithm" collaborative system is crucial for the intelligent economy, focusing on high-quality data sets as essential for training intelligent models [1]. - The plan includes the development of a national integrated computing network to optimize resource allocation, addressing the imbalance between the high demand in the east and energy abundance in the west [1]. - There is a call for breakthroughs in algorithms through enhanced theoretical research and model architecture innovation, alongside promoting the sharing of open-source codes and datasets to reduce R&D costs for enterprises [1]. Group 2: Policy and Regulation - The rapid development of artificial intelligence presents challenges in ethics, law, and social governance, necessitating a robust framework for data security and privacy protection [2]. - The article stresses the importance of algorithm transparency and fairness, advocating for research into algorithm interpretability and the establishment of ethical review mechanisms for algorithms [2]. Group 3: Talent Development - The development of artificial intelligence relies heavily on high-quality talent, necessitating the integration of AI into traditional education systems, including programming education in primary and secondary schools [3]. - The article suggests a "production-education integration" model led by enterprises to provide practical opportunities for students, bridging the gap between theory and application [3]. - It emphasizes the need for a collaborative innovation alliance among enterprises, universities, and research institutions, supported by government incentives for R&D investment [3]. Group 4: Open Cooperation - The article highlights the global nature of AI development, urging China to engage in global governance and promote technology inclusivity and shared outcomes [4]. - Active participation in multilateral mechanisms like the UN and G20 for AI governance dialogue is recommended, along with promoting smart infrastructure projects under the Belt and Road Initiative [4]. - The need to enhance China's influence in international AI standard-setting and to create a comprehensive ecosystem across the hardware, software, and application spectrum is emphasized [4]. Group 5: Societal Impact - The ultimate goal of the intelligent society is to enhance human well-being rather than merely expanding technology, focusing on inclusive applications in areas like healthcare and education [5]. - The article advocates for a new governance model of "human-machine symbiosis" to optimize public resource allocation through systems like urban brain technology [5]. - It calls for a development philosophy that combines technological advancement with humanistic values to achieve high-quality development in the intelligent society [5].

Financial Performance - In the first half of 2025, the company's revenue reached 929,258,759.5 yuan, representing a year-on-year increase of 2.9% [2][3] - The net profit attributable to shareholders was 93,235,556.28 yuan, up 18.56% compared to the same period last year [2][3] - The net profit after deducting non-recurring gains and losses was 84,430,913.49 yuan, reflecting a growth of 25.69% year-on-year [2][3] - The net cash flow from operating activities was 169,183,153.56 yuan, a significant increase of 153.91% [3] - Basic earnings per share were 0.3999 yuan, an increase of 18.10% [3] - Total assets amounted to 4,212,927,418.94 yuan, up 4.94% year-on-year [3] Technological Advancements - The company holds multiple core technologies in the field of biometric recognition, covering various modalities such as fingerprint, palm, face, iris, and finger vein [2] - The company has developed a multi-modal fusion recognition technology that enhances accuracy and security by combining various biometric features [2] - Significant breakthroughs in liveness detection technology have been achieved, effectively preventing spoofing attacks using photos, videos, or masks [2] Product Development - The focus areas include palm and facial recognition technologies, enabling convenient identity verification across diverse mobile devices and platforms [4] - The company has introduced cross-platform interoperability for palm and facial recognition, supporting various operating systems including Harmony, Android, and iOS [4] - A standardized format and cross-platform protocol have been adopted to ensure secure transmission of feature templates, protecting user privacy [4] Strategic Positioning - The company has evolved from a single biometric technology pioneer to a leader in multi-modal BioCV and AI cognitive technologies [5] - By integrating computer vision with biometric recognition, the company aims to enhance user interaction and service provision [5] - The company is committed to exploring the value of human-scene interaction and empowerment through innovative practices [5]

Core Viewpoint - The article discusses the new regulatory phase of facial recognition technology in China, highlighting the crackdown on its misuse and the implementation of new laws to protect personal privacy [2][4][5]. Group 1: Regulatory Actions - Since April, the Chongqing Municipal Cyberspace Administration and other departments have initiated a special campaign against the misuse of facial recognition technology, focusing on issues like mandatory facial verification and lack of notification [2][4]. - The campaign has identified 131 problems across nearly 30 enterprises in seven key sectors, including education and banking, primarily related to inadequate privacy protocols and unauthorized data handling [5][6]. Group 2: Specific Cases and Findings - A notable case involved a company in Chongqing that collected over 12,000 customer records, including more than 5,000 facial images, without consent, leading to a fine of 10,000 yuan [3][4]. - The article emphasizes that facial recognition remains a prevalent method for identity verification in various public spaces, despite the lack of proper notification in many instances [3][6]. Group 3: Future Plans and Industry Standards - The Chongqing Municipal Cyberspace Administration plans to establish self-regulatory norms for personal information protection, collaborating with industry associations to create guidelines and promote best practices [6][7]. - There is a focus on enhancing privacy protection technologies in smart consumption scenarios, with support for research and development in this area [7]. Group 4: Public Awareness and Recommendations - The article suggests that the public should be more cautious about sharing biometric data and should prefer traditional verification methods when possible [8][9]. - It also encourages individuals to understand their rights under the Personal Information Protection Law and to report any violations regarding facial data collection [9].

Core Viewpoint - The article discusses the challenges and implications of facial recognition technology in the AI era, particularly in relation to security vulnerabilities and the potential for identity theft due to advancements in AI-generated content [1][12]. Group 1: Facial Recognition Technology - Facial recognition is highlighted as a significant achievement in the AI era, but it faces challenges due to the inherent variability in human facial features over time [3][4]. - The technology must balance two opposing needs: increasing tolerance for variability to avoid missed identifications and tightening standards to prevent false identifications [3][9]. - The focus on improving recognition rates may lead to a compromise in security, as systems might prioritize performance metrics over accuracy [9][10]. Group 2: Security Concerns - There is a growing concern that facial recognition systems can be easily compromised, leading to unauthorized access and identity theft [12][14]. - The article suggests that internet platforms should implement stricter security measures and manual reviews when changing administrative permissions for popular accounts [12][13]. - AI companies are warned about the ongoing arms race between security measures and the capabilities of AI-generated content, which could exacerbate existing vulnerabilities [14].

Core Viewpoint - The implementation of facial recognition technology in the express delivery industry raises compliance concerns regarding personal information protection, particularly in light of the newly enacted "Facial Recognition Technology Application Security Management Measures" which prohibits using facial recognition as the sole verification method [2][5][12]. Group 1: Regulatory Framework - The "Facial Recognition Technology Application Security Management Measures" established core principles for facial information processing, emphasizing clear purpose, minimal necessity, and strict protection [2]. - The new regulations explicitly forbid using facial recognition as the only verification method in public spaces, requiring clear signage and lawful determination of information collection areas [2][5]. - Current laws and regulations do not mandate facial recognition for identity verification in express delivery, allowing for alternative methods such as presenting valid identification [5][6]. Group 2: Industry Practices - Some express delivery services, like Fengchao and EMS, have implemented mandatory facial recognition for online parcel sending, citing compliance with real-name registration requirements [3][4]. - The practice of "face photo archiving" at some delivery points is justified by companies as a means to resolve disputes over parcel collection, although experts argue it is not the only method available [7][10]. - Public sentiment is divided, with some individuals supporting the efficiency of facial recognition, while others express concerns over privacy and the necessity of such measures [10][11]. Group 3: Expert Opinions - Experts emphasize that the application of facial recognition should be based on user consent, minimal necessity, and legal purposes, suggesting that current practices may exceed necessary verification methods [12][13]. - Recommendations include establishing industry standards to define appropriate scenarios for facial recognition use, particularly in high-risk situations, while promoting alternative verification methods [14]. - Legal experts highlight the importance of compliance with personal information protection laws, advocating for transparency and user rights in the collection and use of sensitive data [13][14].

Core Viewpoint - The article highlights the concerning trend of mandatory facial recognition in hospitals, with half of the surveyed top-tier hospitals in Guangzhou requiring patients to use facial recognition for initial registration, raising issues of privacy and compliance with existing laws [1][2][4]. Group 1: Regulatory Context - The implementation of the "Facial Recognition Technology Application Security Management Measures" in June established core principles for handling facial information, emphasizing "clear purpose, minimum necessity, and strict protection" [1]. - Previous laws, such as the Civil Code and the Personal Information Protection Law, have already set clear guidelines on the use of personal information, requiring that facial recognition not be the sole method of verification [1][2]. Group 2: Hospital Practices - The study found that hospitals, particularly Guangzhou Medical University Affiliated Second and Third Hospitals, enforced strict facial recognition policies, which may not fully inform patients about the use of their facial data [1][4]. - The article argues that hospitals, as public service providers, should demonstrate a higher level of legal compliance and awareness regarding the use of facial recognition technology [3]. Group 3: Enforcement and Governance - The article stresses the need for effective enforcement of laws regarding facial recognition, suggesting that regulatory bodies must actively supervise and respond to public complaints, especially in healthcare settings where patients may struggle to protect their rights [3][4]. - It calls for the involvement of judicial authorities to ensure that hospitals do not become blind spots in the enforcement of personal information protection laws [4].

Core Viewpoint - The implementation of the "Facial Recognition Technology Application Safety Management Measures" in June 2023 establishes core principles for facial information processing, emphasizing "clear purpose, minimum necessity, and strict protection," and prohibits the use of facial recognition as the sole verification method [1][12]. Group 1: Compliance and Public Concerns - A series of investigations by Southern Metropolis Daily and Nandu Big Data Research Institute revealed that some hospitals in Guangzhou are mandating patients to use facial recognition for online registration, raising concerns about compliance with the new regulations [1][7]. - Public sentiment is mixed; while some citizens appreciate the security benefits of facial recognition in preventing identity fraud, others express concerns about the handling of sensitive personal information and the necessity of repeated identity verification [7][8]. Group 2: Policy Background and Guidelines - The requirement for real-name medical services does not inherently necessitate facial recognition, as existing regulations allow for alternative identification methods such as ID cards and social security cards [5][6]. - The National Health Commission has previously stated that medical institutions cannot refuse service based on a patient's refusal to provide facial recognition data, reinforcing the need for multiple identification methods [6][12]. Group 3: Expert Opinions and Recommendations - Experts agree that while facial recognition can enhance security and efficiency in healthcare, it must be implemented with strict safeguards to protect sensitive personal information [9][10]. - Recommendations include ensuring that patients are fully informed and consent to the collection and use of their facial data, as well as implementing robust data protection measures if facial information is stored [11][12].

Group 1 - The event focuses on the compliance and regulatory aspects of facial recognition technology and personal information protection [1][2] - The event is organized under the guidance of the Guangdong Provincial Internet Information Office and involves multiple associations and institutions [1] - Key experts from the China Electronic Technology Standardization Institute will provide detailed interpretations of new policies related to facial recognition and personal information protection [1][2] Group 2 - The event schedule includes a leadership speech, expert presentations on specific regulations, an interactive Q&A session, and association exchanges [2] - The presentations will cover the "Facial Recognition Technology Application Safety Management Measures" and the "Personal Information Protection Compliance Audit Management Measures" [2] - The event is set to take place on July 9, with limited seating available for interested participants [1]

Core Viewpoint - The implementation of the "Facial Recognition Technology Application Security Management Measures" marks China's first comprehensive regulation specifically addressing the application of facial recognition technology, aiming to clarify its boundaries and enhance data protection [7][19]. Group 1: Regulation Implementation - The regulation was officially implemented on June 1, 2023, and is designed to work alongside existing laws such as the Cybersecurity Law, Data Security Law, and Personal Information Protection Law [7]. - It establishes clear boundaries for the application of facial recognition technology, requiring that its use in public places is necessary for maintaining public safety and that the collection of facial data is limited to designated areas [9][12]. Group 2: Public Concerns and Changes - Public concerns regarding privacy, security, and potential misuse of personal information have been highlighted, with citizens expressing fears about the implications of mandatory facial recognition [5][10]. - Following the regulation's implementation, many hotels have ceased the practice of collecting facial data for check-ins, reverting to traditional identification methods [9][10]. Group 3: Data Protection Measures - The regulation mandates that facial recognition data must be stored locally on devices and prohibits transmission over the internet, thereby reducing the risk of data breaches [17]. - It requires the implementation of security measures such as data encryption, access control, and regular password updates to protect facial recognition data [19][21]. Group 4: Special Management Requirements - The regulation imposes strict management requirements for special scenarios, prohibiting the installation of facial recognition devices in private spaces such as hotel rooms and public restrooms [12][13]. - Organizations must ensure that facial recognition is not the sole method of verification and must minimize the impact on individual rights [13][15]. Group 5: Data Classification and Management - The regulation continues the approach of data classification and grading, requiring organizations handling large volumes of personal information to register with cybersecurity authorities [25]. - It emphasizes the importance of responsible data management, particularly as the volume of collected data increases, to mitigate risks associated with potential data leaks [25].