Group 1 - The core viewpoint of the article emphasizes the dual nature of algorithms, highlighting their benefits in daily life while also addressing the issues arising from their misuse, such as "information cocoon," "big data discrimination," and "induced addiction" [1][2] - The report outlines the accelerated governance efforts in China regarding algorithm misuse, including the implementation of the "Internet Information Service Algorithm Recommendation Management Regulations" in 2022 and the 2024 joint action by the Central Cyberspace Administration and other departments to address typical algorithm issues [1][2] - The article points out the challenges faced in algorithm governance, such as companies evading supervision under the guise of "technical neutrality," the lack of transparency in algorithm logic, and users' over-reliance on single platforms [2] Group 2 - The article suggests a multi-faceted approach to return algorithms to their intended purpose, advocating for stronger legal frameworks, increased penalties for algorithm misuse, and innovative technical governance that allows for controlled testing of algorithms [2] - It emphasizes the importance of creating a "co-governance ecosystem" involving various stakeholders, including regulatory bodies, companies, and consumers, to enhance market transparency and promote rational consumer decision-making [2] - The article concludes that algorithms should be guided by legal frameworks and ethical values to ensure they serve as a catalyst for social progress, balancing efficiency with fairness and responsibility [2]

Core Viewpoint - Recent updates in apps like Xiaohongshu and Weibo allow users to visualize and adjust their content preferences, addressing concerns about algorithm transparency and user control over recommendations [1][4]. Group 1: User Control Features - Xiaohongshu introduced a "content preference adjustment" feature that displays a pie chart of users' browsing preferences over the past week, allowing them to adjust recommendation intensity across categories such as fashion, food, and travel [2][3]. - Users can choose from three levels of recommendation intensity: "reduce recommendation," "default intensity," and "increase intensity," and can also delete or add content tags [2][3]. - Similar features have been implemented in Weibo and Bilibili, where users can manage their content preferences through a pie chart and adjust recommendation settings [2][3]. Group 2: Algorithm Governance and Concerns - There are growing concerns about algorithmic issues such as "killing familiarity" and "information cocooning," prompting users to call for more control over algorithmic recommendations [4]. - The implementation of the "Internet Information Service Algorithm Recommendation Management Regulations" in 2022 mandates that platforms provide options for users to opt-out of personalized recommendations and manage their user tags [4]. - In response to these concerns, major platforms have introduced options for users to toggle personalized recommendations, aligning with regulatory requirements [5]. Group 3: Regulatory Actions - A joint initiative by four ministries launched in November aims to address issues like "information cocooning" and algorithmic manipulation, with a focus on user rights and algorithm transparency [5]. - The initiative requires platforms to conduct self-assessments and report on their compliance with the regulations, which has led to various governance measures being announced by platforms like Douyin, Weibo, and Xiaohongshu [5].

Core Insights - The article discusses the recent trend of algorithm transparency among major Chinese internet platforms, highlighting the shift from "mysterious technology" to a more open approach in algorithm governance [1][2][5] - It emphasizes that while algorithm transparency can enhance user trust and improve platform governance, it also poses challenges to existing business models [1][4][8] Group 1: Algorithm Transparency - Douyin has publicly disclosed its algorithm for the first time, marking a significant move in the industry [2] - Other platforms like Meituan and Xiaohongshu have also initiated similar transparency measures, aiming to give users more control over algorithmic recommendations [2][3] - The trend is seen as a necessary step for internet companies to adapt to regulatory expectations and improve user engagement [1][5] Group 2: Challenges and Opportunities - The shift towards algorithm transparency is viewed as a double-edged sword, potentially disrupting established business models while also fostering a more ethical digital environment [1][3][8] - Concerns about issues like "information cocoon" and "big data discrimination" have prompted regulatory scrutiny, leading to a new governance framework for platform algorithms [5][6] - The article suggests that platforms must balance algorithmic efficiency with ethical considerations to avoid negative societal impacts [7][8] Group 3: Industry Implications - The article notes that algorithm governance will be a critical focus for internet companies by 2025, as they navigate the complexities of user trust and regulatory compliance [1][5] - It highlights the need for platforms to rethink their underlying logic and user expectations in light of algorithmic changes [8] - The consensus among industry experts is that algorithm transparency should not only meet regulatory demands but also enhance the overall user experience and societal values [4][8]

在算法决策的时代，法律如何定义边界？当人机交互变得日益复杂，责任归属该如何界定？从自动驾驶 归责到AIGC内容风险，从个人隐私保护到算法公正透明，我们必须面对技术革命带来的法律困境。技 术与伦理的平衡点在哪里？未来法律的变革方向是什么？ 4月20日，第七季"三联·新知大会"的首场活动"未来契约：AI时代的法律刻度"在三联韬奋书店美术馆店 举办。中国社会科学院文化法制研究中心研究员周辉、北京大学法学院副教授戴昕、清华大学公共管理 学院副教授陈天昊和对外经济贸易大学法学院教授张欣等法学专家深入探讨了AI时代的法治问题，剖 析如何构建一个既能促进创新又能守护人类核心价值的法律框架。 法律怎样定义算法？ 活动现场，周辉从算法的概念谈起，"简单来说，算法就是为了让电脑来解决问题而设计出来的一套计 算方法，这是当前的数字时代或者是AI时代的一个场景的界定。但在早期时代，算法更多的是用来解 决具体的算术问题，从特定条件得出相应的结果。到了近代，尤其是讨论到AI早期的一些概念——涉 及图灵机以及我们现在信息通讯技术的发展，使得我们对算法的理解，可能相对感觉会更加复杂。到了 大数据时代，基于这种技术的复杂性，相应的展示过程和呈 ...