今年寒假期间，有不少家长都遭遇了AI机器人推销电话的持续轰炸，部分教培机构频繁发起陌生呼 叫，令不少家长不胜其扰。与传统电话推销相比，AI机器人可以不间断拨打，拥有效率高、覆盖广、 成本低的突出优势，已成为不少商家降本增效的首选"神器"。但一些企业采取"广撒网"式的盲目外呼， 不仅严重侵扰群众生活安宁，更触碰了法律红线。 我国民法典规定，除法律另有规定或者权利人明确同意外，任何组织或者个人不得以电话等方式侵扰他 人的私人生活安宁。消费者权益保护法实施条例也要求，未经消费者同意，经营者不得向消费者发送商 业性信息或者拨打商业性电话。由此可见，未经允许的AI推销外呼属于违法违规行为，必须对相关乱 象予以有效整治。 技术守正，方能久远。唯有政府监管不缺位、企业自律不越界、社会监督不掉线，三方协同发力，才能 让AI推销电话在法治轨道上健康发展，真正让技术造福社会。 来源：法治日报 作者: 侯建斌 首先，政府部门要加强监管。电话营销治理涉及多个部门，单靠一方难以根治，应打破监管壁垒，推动 建立常态化的信息共享、线索移交与联合执法机制，并将营销行为纳入企业信用体系，对屡教不改者实 施联合惩戒。其次，企业必须强化自律，要严 ...

1月27日，当前全球避险资产正处于极度分化的格局中。周一，比特币在8.8万美元关口附近表现出明显 的滞涨，而黄金与白银则在经历了一轮"史诗级"飙升后开始显露疲态。FXGT认为，虽然比特币已从周 末因政府停摆忧虑引发的8.77万美元低点略微反弹，但整体动能依然匮乏。与此形成鲜明对比的是，贵 金属市场在过去24小时内增加的市值规模堪称惊人，甚至有分析指出其单日市值增长量已足以覆盖整个 比特币的市场份额，这种资金流向的偏差反映出市场对数字资产流动性的暂时疑虑。 在宏观金融环境方面，美元指数（DXY）正处于自去年9月以来的疲软区间。近期市场数据显示，受美 日联合干预汇市以提振日元的传闻影响，美元兑日元一度跌至154.07水平，跌幅超过1%。尽管美元走 弱通常利好避险资产，但比特币并未如期爆发。FXGT认为，这种价格背离主要源于投资者的避险偏好 向实物贵金属倾斜，金价一度冲破5，100美元，银价最高触及118美元。然而，随着金银价格分别回落 至5，043美元和108美元附近，这种由短期恐慌驱动的涨势似乎已接近阶段性顶部。 针对加密市场的内部结构，FXGT表示，资本流出的迹象依然显著。上周现货比特币ETF的累计净流出 额 ...

Core Viewpoint - The emergence of high-tech hunting methods using drones equipped with thermal imaging and metal arrows poses significant risks, transforming from a tool for agricultural protection to a potential weapon of terror [1] Group 1: Risks of Drone Hunting - The danger of drone hunting extends beyond wild boars to include livestock and wildlife, with incidents reported in Hunan and Shanxi where drones have killed poultry [1] - Law enforcement in multiple regions, including Jiangxi, Hunan, and Chongqing, has uncovered cases of illegal hunting of protected wildlife using drones [1] - There is a risk to human safety, as individuals have mistakenly targeted people while using drones for hunting, highlighting the potential for serious accidents [1] Group 2: Causes of the Problem - The low technical barrier for modifying civilian drones into "aerial guns" and the widespread availability of thermal imaging technology contribute to the rise of drone hunting [1] - Regulatory gaps exist, as current regulations do not clearly define "dangerous goods," leading to ambiguity regarding the classification of items like "airdrop toothpicks" [1] - Legal definitions are unclear, with wildlife protection laws prohibiting certain tools but not explicitly mentioning drones or arrows, and local regulations are not standardized [1] Group 3: Solutions to Address the Issue - A multi-faceted approach is needed, including banning unregistered use of drones and thermal imaging devices for hunting or harming wildlife and livestock [2] - E-commerce platforms should enhance oversight and remove related products to prevent the sale of illegal tools [2] - Joint law enforcement efforts by police and forestry departments should be strengthened to impose strict penalties on illegal hunting activities [2] - Public awareness and legal education should be promoted to discourage participation in and dissemination of dangerous behaviors [2]

Core Viewpoint - The recent malicious placement of signal jammers in the Dali Erhai area has raised public concerns regarding the availability and legality of privately installed devices [1] Group 1: Availability of Signal Jammers - Signal jammers are not easily accessible like ordinary products; they cannot be purchased directly on popular e-commerce platforms such as Taobao, JD, or Pinduoduo due to prohibitions [1] - However, signal jammers can be found on B2B platforms, but the purchasing process has become stricter, requiring buyers to provide relevant qualification documents for order confirmation [1] - This design aims to prevent misuse but exposes regulatory loopholes, as malicious users may forge qualifications to obtain devices [1] Group 2: Legal Implications of Private Installation - The unauthorized installation of signal jammers directly violates Article 6 of the "Radio Management Regulations of the People's Republic of China," which prohibits individuals from using radio frequencies without authorization and causing harmful interference to lawful radio services [2] - The Dali Erhai incident exemplifies harmful interference, as the malicious placement of jammers disrupted communication for surrounding users, constituting a legal violation [1][2] Group 3: Legal Pathways for Authorized Installation - Enterprises needing to install signal jammers for legitimate purposes, such as confidential meetings or examination venues, can follow a legal application process [2] - Applicants must meet four conditions: the requested frequency must comply with regulations, have a clear purpose, possess technical feasibility, and not interfere with other lawful frequencies [2] - The review process by radio management authorities takes up to 20 working days, and upon approval, a radio frequency usage permit is issued, detailing usage scope and conditions [2] Group 4: Consequences of Violations - Penalties for unauthorized installation of signal jammers escalate based on the severity of the violation; first-time offenders may receive a warning and have their devices confiscated [3] - Continued violations or commercial exploitation of jammers can lead to fines ranging from 50,000 to 200,000 yuan, with severe cases potentially reaching up to 500,000 yuan [3] - This penalty structure reflects a principle of "education first, punishment second," but malicious actors face significant repercussions [3] Group 5: Broader Implications - The Dali Erhai incident highlights communication security vulnerabilities and serves as a legal warning regarding the illegal use of signal jammers [4] - Public awareness of legal implications is crucial, and regulatory bodies must enhance control measures to prevent similar incidents and protect public communication channels [4]

Core Viewpoint - Artificial intelligence (AI) is profoundly transforming global industrial structures and employment markets, presenting both opportunities and challenges for China, particularly for low- and mid-skilled labor groups facing job displacement due to automation [1] Group 1: Challenges Faced by China - China has a large low- and mid-skilled labor force that is vulnerable to automation, leading to structural unemployment [1] - There is an imbalance in regional development, with coastal areas upgrading industries faster than central and western regions, which face significant technological transition and employment pressures [1] - The existing skill training and social security systems are inadequate for covering emerging employment forms, leaving gig economy workers without sufficient social security, resulting in job instability and re-employment challenges [1] Group 2: U.S. Strategies for Addressing AI Impact - The U.S. employs a multi-faceted approach to address AI's impact on employment, focusing on education and skill training, social security, innovation, and regulatory frameworks [2][4][5][6] - The U.S. government has invested $265 million since 2021 to enhance community college training programs, with states implementing AI training projects in vocational education [2] - The National Science Foundation allocated approximately $1.377 billion in 2023 to promote K-12 STEM education, emphasizing early exposure to programming and robotics [3] Group 3: Recommendations for China - China should enhance skill training and education transformation to cultivate a high-quality workforce for the AI era, including large-scale, tiered training programs for low- and mid-skilled workers [7] - Establish a unified skill certification and credit recognition system to facilitate flexible career advancement for workers [8] - Reform basic education to integrate STEM subjects and improve teacher quality, fostering early mastery of essential skills for the AI era [9] Group 4: Social Security and Employment Stability - China needs to expand social security coverage for new employment forms, ensuring gig workers have access to insurance and benefits [9] - Integrate unemployment insurance with re-employment services, combining basic support with mandatory training to enhance job readiness [9] - Explore dynamic subsidy mechanisms for workers in industries heavily impacted by AI, providing targeted training and transition support [9] Group 5: Promoting Industrial Collaboration and Regional Balance - Encourage deep integration of AI in traditional manufacturing and service industries, promoting digital transformation while creating new job opportunities [10] - Implement differentiated support for central and western regions to ensure equitable access to AI infrastructure and resources [10] - Establish industry clusters and talent mobility channels to facilitate AI application and innovation across regions [10] Group 6: Legal and Regulatory Frameworks - Develop regulations to ensure algorithm transparency and prevent discrimination in hiring processes, protecting workers' rights [11] - Adopt a dynamic regulatory approach, allowing for pilot testing and iterative adjustments to laws governing AI technologies [11] - Promote industry standards and transparency in algorithm usage to safeguard workers' rights and enhance compliance [11] Group 7: Multi-Department Coordination and International Cooperation - Establish a cross-departmental coordination mechanism to assess the impact of technological changes on employment and adjust policies accordingly [12] - Create a real-time monitoring and early warning system to track employment trends and respond swiftly to emerging challenges [12] - Encourage social participation and international dialogue to share best practices in AI employment management [13]