35C3 - "The" Social Credit System - 中文翻译

https://media.ccc.de/v/35c3-9904-the_...

为什么它比我们想象的更好和更糟

西方媒体对中国社会信用体系（SCS）进行了大量讨论。但是，我们目前还不知道到2020年应该对全国范围产生影响的系统如何，因为目前有70多个试点项目。这些飞行员​​从商业版税和奖励计划（芝麻信用）到奥威尔系统排名，其中每个行动都有预定的相关分数（荣成）。在中间，有一个模糊的算法系统，基本上充当黑匣子（诚实上海）。因此，本演讲将讨论其中一些试点及其实现细节，并通过基于代理的建模框架讨论不同实现的可能影响。这样做表明，目前正在测试的大多数系统都容易受到各级政府领导人的操纵，并且新系统不太可能提供更有效地分配稀缺资源的表面目标。

作者Antonia Hmaidi是东亚经济学博士候选人，专注于中国。她在33C3上发表了关于互联网审查影响的演讲。本讲座的目的是为那些有兴趣的人提供对“中国”社会信用体系及其对中国社会和经济可能产生的影响的技术基础理解。在这样做的过程中，它试图提供比中国或西方媒体通常呈现的更细微的图像。在空闲时间从事数据科学和机器学习，使作者能够更好地理解包含“社会信用系统”的算法。

托尼

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Why It's Both Better and Worse Than We can Imagine

The Chinese Social Credit System (SCS) has been discussed a lot in Western media. However, we do not know currently how the system that is supposed to take nationwide effect by 2020 will look like, as there are more than 70 pilot projects currently undertaken. These pilots rank from commercial royalty and rewards programs (Sesame Credit) to an Orwellian system, where each action has a predetermined associated score (Rongcheng). In-between, there’s nebulous algorithmic systems that basically act as a Black Box (Honesty Shanghai). This talk, therefore, looks at some of these pilots and their implementation details, and through an agent-based modeling framework, discusses the likely effects of different implementations. In doing so, it shows that most of the systems currently being tested are prone to manipulation by leaders from all levels of government, and that the ostensible goal of allocating scarce resources more efficiently is unlikely to be served by the new system(s).

The author, Antonia Hmaidi, is a PhD candidate in East Asian Economics with a focus on China. She presented a talk on the impact of internet censorship at the 33C3. This talk’s goal is to provide those interested with a technically-grounded understanding of “the” Chinese social credit system and its possible impact on Chinese society and economy. In doing so, it seeks to provide a more nuanced picture than is usually presented in either Chinese or Western media. Working on data science and machine learning in her free time allows the author to better understand the algorithms comprising “the” social credit system.

Toni

https://fahrplan.events.ccc.de/congre...