OVERVIEW OF SCS The Social Credit System--social management programme launched by the CCP, which aims to stimulate “sincerity” and “trustworthiness” in society (State Council, 2014). Plans to launch the comprehensive system nation-wide by 2020, with pilot plans established in different provinces of China starting from 2014. By July 2018, more than 40 municipal and provincial governments have launched SCS pilot, creating “blacklists” and “redlists”for individuals and organisations based on the trustworthiness of their behaviors (Kotska, 2019). Mechanism: Reward-and-punishment system Citizens rated based on their daily behaviors Purchase behavior, posts on social media, financial records, etc. Scores decide whether they would receive sanctions or rewards Sanctions: Limited access to transportation and financial services Rewards: Tax reduction or priorities and privileges in governmental services. While the Central People’s Government claimed the sole aim of the system to be raising sincerity and trustworthiness, many argued that it would be used as a tool for authoritarian resilience in social management (Kostka, 2019), and for the government to expand and uphold its power. Moreover, the restrictions that the SCS have imposed on blacklisted individuals are often considered as exploitation and infringement of freedoms and rights. BACKGROUND Beginning of July--> Working group promoting infrastructure and development in the Greater Bay Area has proposed a three year plan (20182020), with one of the goal being the implementation of the Social Credit System in both Hong Kong and Macau (People’s Government of Guangdong Province, 2019). Induced various reactions--anger, fear and dissent. The issue also inspired immense public discussions on the systems controversiality. Although both the Hong Kong Government and the National Development and Reform Commission has reassured that the SCS will not be implemented in Hong Kong due to the difference in Hong Kong’s and China’s political system (Apple Daily, 2019; RTHK, 2019), and the Credit China official website (creditchina.gov.cn) has removed Hong Kong from the website, public discussion does not seem to have died down, especially with the appearance of several installations of smart lampost in Hong Kong which are suspected to be surveillance tools. FACIAL RECOGNITION TECHNOLOGY, DRONES, VIDEO SURVEILLANCE AND SOCIAL NETWORKING SURVEILLANCE. SOCIAL CREDIT SYSTEM IN HKPOSSIBILITIES AND CHALLENGES Kon Lam Louisa Leung Wing Mok Sze Wai THEORETICAL FRAMEWORK 01 PANOPTICON Pan(all)-opticon(observing) Based on a prison architecture invented by the Bentham Brothers A circular prison in which prisoners are placed separately at the periphery and constantly visible whereas wardens are invisible, which creates a constant liability to supervision "The major effect... is to induce in the inmate a state of conscious and permanent visibility that assures the automatic functioning of power" (Foucault, 2012 p.195) 02 SURVEILLANCE SOCIETY A surveillance society is a society which is organised and structured using surveillance-based techniques On behalf of governments, one’s movements and activities are recorded by technologies (Wood, et al., 2006) One's information is then used as a basis for decisions which affect one's life chances (e.g. entitlement and access to benefits, work; movement through public and private spaces) Key characteristics: use of numerous & new technology, data flow, convergence of system & data ; social sorting (of risky populations) ; technological lockin and failure (over-dependence) 03 SCS AS A STATE SURVEILLANCE INFRASTRUCTURE ? “Panoptic model” to a “Panspectric model" because “information is now actively generated by multiple sensors scattered across the lives of its subjects” (Creemers, 2017, p. 96) Employs big data which “Track Everything about Everyone at All Times.”; blurs the Interplay Between State and Commercial Sectors; lead to sanctions predictive decisions about individual citizens (Andrejevic & Gates, 2014).) Three phrases: data collection, data aggregation, data analytics Data collection stage: involves multistakeholder mechanisms by which public and private data are gathered from various sources; combination of (giant) government database and private sector data sets Data aggregation: building of several data platforms for integrating separate data into a state surveillance infrastructure Data analytic: allow the evaluation of every actor in the society and the establishment of reward and punishment system Concerns (Liang, Kostyuk & Hussain, 2018): 1. It is unknown whether the data collected will be used solely for security reasons or for political ones 2. Risks of data security when personal information becomes easily obtainable 3. Information asymmetry between those holding the data and ordinary people (increased difficulty for countersurveillance) BIBLIOGRAPHY ANDREJEVIC, M., AND K. GATES. 2014. “BIG DATA SURVEILLANCE: INTRODUCTION.” SURVEILLANCE & SOCIETY 12 (2): 185–96. APPLE DAILY. 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