back

"The" Social Credit System

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

If you suspend your transcription on amara.org, please add a timestamp below to indicate how far you progressed! This will help others to resume your work!

Please do not press “publish” on amara.org to save your progress, use “save draft” instead. Only press “publish” when you're done with quality control.

Video duration
01:01:16
Language
English
Abstract
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.

Talk ID
9904
Event:
35c3
Day
1
Room
Borg
Start
12:50 p.m.
Duration
01:00:00
Track
Ethics, Society & Politics
Type of
lecture
Speaker
Toni
Talk Slug & media link
35c3-9904-the_social_credit_system

Talk & Speaker speed statistics

Very rough underestimation:
148.4 wpm
831.9 spm
150.8 wpm
849.6 spm
100.0% Checking done100.0%
0.0% Syncing done0.0%
0.0% Transcribing done0.0%
0.0% Nothing done yet0.0%
  
18.3% Checking done18.3%
81.7% Nothing done yet81.7%

Work on this video on Amara!

German: Translated until

Last revision: 1 year, 1 month ago

Talk & Speaker speed statistics with word clouds

Whole talk:
148.4 wpm
831.9 spm
Toni:
150.8 wpm
849.6 spm