隐私安全

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小米谷歌们的“街拍功能”,真是偷拍外挂吗?
Hu Xiu· 2025-07-25 07:39
Core Viewpoint - Xiaomi's "street shooting mode" feature has raised privacy concerns due to its potential misuse for covert photography, leading to widespread discussions on social media [1][9]. Feature History - The "black screen shooting" function was introduced with Xiaomi's MIUI 8 system in 2016 but was removed six years later [2]. - Starting from MIUI 11 in 2019, Xiaomi added a shutter sound to the "street shooting mode" for privacy reasons and eliminated the video recording capability in that mode [3]. - By the end of 2022, MIUI 14 completely removed the "black screen shooting" feature, retaining only the ability to quickly launch the camera while the screen is on [5][6]. User Experience and Concerns - Despite the removal of the black screen shooting function, concerns about "covert photography" persist [9]. - A tutorial for the Xiaomi 14 Ultra demonstrated that the "street shooting mode" could still capture images quickly, raising further privacy issues [10][11]. - User comments reflect a mix of humor and concern regarding the potential for misuse of the feature, particularly among female users [13]. Broader Context of Privacy Issues - The issue of covert photography has historical roots, with past controversies surrounding silent cameras and their impact on privacy [15][18]. - Similar privacy regulations have been implemented in other countries, such as Japan and South Korea, mandating that cameras must emit sound when taking photos [18]. - The discussion extends to other technologies, such as Google Glass, which faced backlash for privacy concerns due to its discreet nature [19][20]. Ethical Considerations - The debate highlights a fundamental question about the boundaries of technology and the responsibilities of tech companies in designing products that consider user privacy [22][23].
鸿蒙开发者聚乐部:端侧AI、全场景与隐私安全三重突破,让开发者更省心
Huan Qiu Wang· 2025-06-24 13:12
Core Insights - The article highlights the significant advancements of the HarmonyOS in the context of the digital transformation, emphasizing its unique technological concepts and continuous innovation that enhance user and developer experiences [1][10]. Group 1: Edge AI Implementation - The rise of edge AI aims to extend the powerful capabilities of artificial intelligence from the cloud to user-end devices, providing instant responses and higher data security [2]. - HarmonyOS has significantly improved the efficiency of edge AI deployment, allowing developers to integrate features like voice recognition into applications with minimal effort and time [2][6]. - The latency for voice recognition has been reduced to around 100 milliseconds, compared to the traditional 1-2 seconds, enabling near real-time interaction [3][4]. Group 2: Full-Scene Development Efficiency - Full-scene development is a core vision of HarmonyOS, enabling developers to seamlessly create applications across different device types, thus enhancing development efficiency [7]. - For instance, the compilation of 5 million lines of code in the Zhongwang CAD software was reduced to just 10 minutes on HarmonyOS, showcasing its performance capabilities [7]. - The system allows for cross-device functionality, enabling applications to transition smoothly between devices, enhancing user experience [9]. Group 3: Privacy and Security Enhancements - HarmonyOS has restructured its architecture to prioritize privacy and security, creating a robust data protection system that ensures user data remains secure [10][12]. - The system employs a "security for AI and AI for security" dual framework, allowing users to maintain control over their data while benefiting from AI functionalities [12][13]. - Developers can access necessary user data without compromising privacy, as the system restricts access to sensitive information [10][12]. Group 4: Industry Impact and Future Prospects - The advancements in HarmonyOS are driving digital transformation across various industries, from smart homes to automotive systems, and enhancing the inclusivity of technology [13]. - The ecosystem of HarmonyOS is gaining momentum, attracting more developers to participate in its growth and innovation [13].
借助生成式人工智能构建知识生产新体系
Xin Hua Ri Bao· 2025-06-13 00:14
Core Insights - The rapid development of generative artificial intelligence (AI) is transforming knowledge production processes, necessitating a focus on ethical considerations to ensure its safe and reliable advancement [1][6]. Group 1: Evolution of Generative AI - Generative AI has evolved from theoretical foundations established between the 1950s and 1980s, focusing on probabilistic models, to practical applications with significant breakthroughs such as Generative Adversarial Networks (GAN) in 2014 and the emergence of large language models like GPT in 2018 [2]. - The commercial application of generative AI was marked by the launch of ChatGPT in late 2022, indicating a shift towards widespread use and the establishment of global standards in 2023-2024 [2]. Group 2: Role in Knowledge Production - Generative AI enhances knowledge production efficiency by rapidly processing vast amounts of data, enabling the generation of comprehensive literature reviews and high-quality educational content, thus supporting academic research and public science communication [3]. - The technology promotes knowledge innovation by integrating diverse fields of knowledge, allowing for new insights and creative designs that transcend traditional disciplinary boundaries [4]. Group 3: Ethical Considerations - The use of generative AI raises complex issues regarding intellectual property rights, as the ownership of generated content and the use of training data can lead to copyright disputes [5]. - Privacy concerns arise from the reliance on large datasets that may contain personal information, and the potential for generating low-quality or misleading information poses risks, particularly in sensitive fields like healthcare and finance [5].