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平台算法从“黑箱”走向透明
Zheng Quan Shi Bao· 2025-04-28 22:28
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]
AI时代,如何面对技术革命带来的法律困境
Xin Jing Bao· 2025-04-22 08:38
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 ...