Showing posts with label Anne Cheung. Show all posts
Showing posts with label Anne Cheung. Show all posts

Monday, November 3, 2025

New Issue of Hong Kong Law Journal (Vol. 55, Part 2 of 2025)

HONG KONG LAW JOURNAL
Vol. 55, Part 2 of 2025
Editor-in-Chief: Prof. Eric C Ip
Deputy Editor-in-Chief: Prof. Trevor Wan
Publisher: Sweet & Maxwell


TABLE OF CONTENTS


Symposium: The Constitution and the Civil Code in Asia

The Constitution and the Civil Code in East Asia: China, Japan, South Korea and Taiwan
Alec Stone Sweet...153

The Constitutionalisation of Civil Law in South Korea: Practices of Ordinary Courts
Yoon Jin Shin...163

The Development of the Doctrine of Horizontal Effect of Constitutional Rights in Taiwan
Hsiaowei Kuan...191

China’s Civil Code as a Super-Statute: Ramifications for Constitutional Theory
James C Fisher...211

The Interaction of the Constitution and the Civil Code in Japan
Keigo Komamura...233

China’s Civil Code as a Super-Statute: Ramifications for Constitutional Theory
Chong Bu...253

Constitution Talk in the Chinese Civil Courts: Constructing the Constitution through the Civil Code?
Zhuo Ding...277

Articles

Recognition, Relief and Enforcement of Schemes, Plans and Judgments: Towards a Transnational System of Justice in Cross-Border Insolvency
Geoffrey Ma...299

Justice Reimagined: Innovative Remedies in the Courts
Kemal Bokhary...313

The Interface between Arbitration Clauses and Insolvency Proceedings
Hilary So and Anfield Tam...321

The Legal Fiction of Equal Authenticity: A Study of Judicial Interpretation of Bilingual Legislation in Hong Kong
Michael MK Cheung and Anne SY Cheung...341

Sino-US “Chip War”: Can China’s Semiconductor Fiscal and Tax Policies Effectively Break through Technological Blockade? 
Jingxian Chen and Kexin Zhou...373

Book Reviews

Yanhong Yin, The Idea of a Chinese Arrest Warrant: Surrender of Fugitive Offenders between Mainland China
Paulo Pinto de Albuquerque...397

Bokhary, Witzleb and Srivastava (eds), Tort Law and Practice in Hong Kong
Craig Purshouse...401

Michael Cheung and Anne Cheung on The Legal Fiction of Equal Authenticity: A Study of Judicial Interpretation of Bilingual Legislation in Hong Kong (HKLJ)

"The Legal Fiction of Equal Authenticity: A Study of Judicial Interpretation of Bilingual Legislation in Hong Kong"
Michael MK Cheung and Anne SY Cheung
Hong Kong Law Journal, Vol. 55, Part 2 of 2025, pp.341 - 371

Abstract: The principle of equal authenticity seeks to give equal status to Chinese and English legislative texts in Hong Kong. However, challenges arise due to discrepancies between the languages, leading to criticisms of this principle as a legal fiction. Are Hong Kong judges able to maintain equal authority for both language versions of the law? A study of Hong Kong court judgments on s 10B of the Interpretation and General Clauses Ordinance since 1987 finds that while the courts were able to reconcile the two language versions in the majority of cases, the English text was often prioritized in cases of irreconcilable differences since it was enacted first in time. Notably, the Court of Final Appeal’s decision in HKSAR v Chan Chun Kit affirmed this practice, impacting equal authenticity, the rule of law and fairness. The authors propose to repeal and re-enact all authenticated Chinese provisions, or those problematic provisions denounced by the court. At the very least, the public should be alerted that they are reading subsequently authenticated translated texts. Addressing these issues is vital for maintaining the integrity and clarity of legal interpretations in bilingual jurisdictions such as Hong Kong.

The paper is also available on SSRN, please click here.

Wednesday, September 17, 2025

Felix Chan et al on Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model (Artificial Intelligence and Law)

"Bringing legal knowledge to the public by constructing a legal question bank using large-scale pre-trained language model"
Mingruo Yuan, Ben Kao, Tien-Hsuan Wu, Michael Cheung, Henry Chan, Anne Cheung, Felix Chan, Yongxi Chen
Artificial Intelligence and Law
Published online: July 2023

Abstract: Access to legal information is fundamental to access to justice. Yet accessibility refers not only to making legal documents available to the public, but also rendering legal information comprehensible to them. A vexing problem in bringing legal information to the public is how to turn formal legal documents such as legislation and judgments, which are often highly technical, to easily navigable and comprehensible knowledge to those without legal education. In this study, we formulate a three-step approach for bringing legal knowledge to laypersons, tackling the issues of navigability and comprehensibility. First, we translate selected sections of the law into snippets (called CLIC-pages), each being a small piece of article that focuses on explaining certain technical legal concept in layperson’s terms. Second, we construct a Legal Question Bank, which is a collection of legal questions whose answers can be found in the CLIC-pages. Third, we design an interactive CLIC Recommender. Given a user’s verbal description of a legal situation that requires a legal solution, CRec interprets the user’s input and shortlists questions from the question bank that are most likely relevant to the given legal situation and recommends their corresponding CLIC pages where relevant legal knowledge can be found. In this paper we focus on the technical aspects of creating an LQB. We show how large-scale pre-trained language models, such as GPT-3, can be used to generate legal questions. We compare machine-generated questions against human-composed questions and find that MGQs are more scalable, cost-effective, and more diversified, while HCQs are more precise. We also show a prototype of CRec and illustrate through an example how our 3-step approach effectively brings relevant legal knowledge to the public.

Tuesday, January 25, 2022

New Issue: HKU Law's SSRN Legal Studies Research Paper Series (Jan 2022)

            

Vol. 12, No. 1: Jan 10, 2022

A Principles-based Approach tothe Governance of BigFintechs

Douglas W. Arner, The University of Hong Kong - Faculty of Law, University of Hong Kong
Ross P. Buckley, University of New South Wales (UNSW) - Faculty of Law
Kuzi Charamba, University of Hong Kong
Dirk A. Zetzsche, Universite du Luxembourg - Faculty of Law, Economics and Finance, Heinrich Heine University Dusseldorf - Center for Business & Corporate Law (CBC), European Banking Institute
Artem Sergeev, The University of Hong Kong - Faculty of Law


Land-related Restrictive Covenants in Restraint of Trade

Kelvin Hiu Fai Kwok, The University of Hong Kong - Faculty of Law


National Security Law in Hong Kong: One Year On

Johannes M M Chan, The University of Hong Kong - Faculty of Law


From Datafication to Data State: Making Sense of China’s Social Credit System and Its Implications

Anne S. Y. Cheung, The University of Hong Kong - Faculty of Law
Yongxi Chen, The University of Hong Kong - Faculty of Law

Monday, January 3, 2022

Semantic Search and Summarization of Judgments Using Topic Modeling - Case Study of HKLII (new book chapter)

"Semantic Search and Summarization of Judgments Using Topic Modeling"
Tien-Hsuan Wu, Ben Kao, Felix Chan, Anne SY Cheung, Michael MK Cheung, Guowen Yuan, Yongxi Chen
in Erich Schweighofer (ed), Legal Knowledge and Information Systems (IOS Press Ebooks 2021) pp 100-106
Abstract: Online legal document libraries, such as WorldLII, are indispensable tools for legal professionals to conduct legal research. We study how topic modeling techniques can be applied to such platforms to facilitate searching of court judgments. Specifically, we improve search effectiveness by matching judgments to queries at semantics level rather than at keyword level. Also, we design a system that summarizes a retrieved judgment by highlighting a small number of paragraphs that are semantically most relevant to the user query. This summary serves two purposes: (1) It explains to the user why the machine finds the retrieved judgment relevant to the user’s query, and (2) it helps the user quickly grasp the most salient points of the judgment, which significantly reduces the amount of time needed by the user to go through the returned search results. We further enhance our system by integrating domain knowledge provided by legal experts. The knowledge includes the features and aspects that are most important for a given category of judgments. Users can then view a judgement’s summary focusing on particular aspects only. We illustrate the effectiveness of our techniques with a user evaluation experiment on the HKLII platform. The results show that our methods are highly effective.  The chapter is open access and can be accessed here.

Sunday, December 5, 2021

"Using AI to Predict Trafficking Sentences" (Anne Cheung Profiled in HKU Bulletin)

"Using AI to Predict Trafficking Sentences"
Anne Cheung
HKU Bulletin
Published in November 2021
Computer Science and Law have joined forces to produce a predictor which uses artificial intelligence (AI) to calculate the likely sentencing for drug trafficking.
     Under the auspices of the Law and Technology Centre, the research team led by Professor Ben Kao of the Department of Computer Science and Professor Anne Cheung of the Faculty of Law have developed a Stage-1 model of HKU AI Lawyer, which can predict sentencing associated with eight different types of dangerous drugs. Users simply provide information, in the form of answering four straightforward questions, and the AI Lawyer will predict what sentencing will be, as well as breaking down individual factors that will lead to the sentence.
     “We wanted to find an answer to the challenging issue of how legal knowledge that is embedded in previous court judgments can be captured and modelled using machines,” said Professor Cheung. “Lawyers have to familiarise themselves with previous court cases or ‘precedents’ which serve as important guidelines to future cases. In Hong Kong alone, there are more than 80,000 historical judgments.
     “Although there are guidelines on determining prison term ‘starting points’, these starting-point penalties have to be adjusted based on various mitigating and aggravating factors specific to each case. Predictions are more difficult for more complicated cases, such as those involving multiple drug types.”
     It would be a Herculean task for a human lawyer to recall all relevant precedents when he or she is researching and preparing for a new case. The team therefore took on the task of studying how to train a machine to comprehend and memorise court judgments using AI techniques and to reason based on the logic discovered from judgments. …Click here to read the full text. 

Friday, June 4, 2021

HKU Law and Technology Centre launched HKU AI Lawyer: Sentencing Predictor for Drug Trafficking

Recent advances in artificial intelligence (AI) and machine learning bring disruptive changes to legal practice. AI can be used to draw insights from past judicial decisions to predict future outcomes. In the criminal justice system, one essential aspect is sentencing. Much attention has been placed on how AI informs decisions about sentencing and how to use AI to assist people to obtain and make use of sentencing information.
Professor Anne Cheung of the Faculty of Law and Professor Ben Kao of the Department of Computer Science at the University of Hong Kong and their research team have developed a Stage-1 model of HKU AI Lawyer - an AI-assisted sentencing predictor for the offence of trafficking in dangerous drugs in Hong Kong. The predictor is based on an innovative combination of legal domain knowledge and machine learning techniques. Users only need to provide relevant information through responding to four simple questions, and the predictor will generate an estimated term of imprisonment. Another useful feature of the predictor is that it will at the same time show the links to court decisions which are most relevant to the given facts. The sentencing predictor is a pragmatic tool for professionals including lawyers, social workers and teachers. It also serves to inform the public of likely legal consequences of committing drug trafficking offences.

A workshop was held on May 18 (Tuesday) to introduce the background of HKU AI Lawyer, with a demonstration of how to use the sentencing predictor, to lawyers, social workers and members of the community. Mr. Chan Man Ho, Deputy Director of the Hong Kong Federation of Youth Groups, also shared his experience.

Media representatives were cordially invited to attend the workshop, with details as follows:
Date: May 18, 2021 (Tuesday)
Time: 2:00 – 3:15pm
Venue: Academic Conference Room, 11/F, Cheng Yu Tung Tower, Centennial Campus, HKU (map)
Language: Cantonese

Speakers:
Professor Anne Cheung
Co-Director, Law and Technology Centre
Professor of Law, Faculty of Law, HKU

Professor Ben Kao
Co-Director, Law and Technology Centre
Professor, Department of Computer Science, Faculty of Engineering, HKU

Mr. Michael Cheung
Research Officer
Law and Technology Centre, Faculty of Law, HKU

Mr. Chan Man Ho
Deputy Director
The Hong Kong Federation of Youth Groups

** The workshop was simultaneously aired through Zoom:
Meeting ID: 961 8639 6394

For media enquiries, please contact:
Ms. Grace Chan, Secretary, Law and Technology Centre, Faculty of Law, HKU (Tel: 3917-4727; Email: mcgrace@hku.hk)

Media Coverage
"Hong Kong drug offenders get clearer view of options as new computer program scans thousands of cases to determine likely sentences", SCMP, 19 May 2021.  For other media coverage, see the list on the Law and Technology Cente webpage.

Wednesday, February 20, 2019

Chen, Cheung & Chan on 'Doxing: What Adolescents Look for and Their Intentions' (Int'l J Env Res & Pub Health)

"Doxing: What Adolescents Look for and Their Intentions"
Mengtong Chen, Anne S Y Cheung and Ko Ling Chan
International Journal of Environmental Research and Public Health
14 January 2019
Abstract: Doxing is a form of cyberbullying in which personal information on others is sought and released, thereby violating their privacy and facilitating further harassment. This study examined adolescents’ doxing participation using a representative sample of 2120 Hong Kong secondary school students. Just over one in 10 had engaged in doxing, and doxing behavior significantly increased the probability of disclosing personal information on others (odds ratio ranged between 2.705 and 5.181). Social and hostile doxing were the two most common forms of doxing. Girls were significantly more likely to conduct social doxing (χ 2 = 11.84, p < 0.001), where their target was to obtain social information (χ 2 = 4.79, p = 0.029), whereas boys were more likely to engage in hostile doxing aimed at obtaining personally identifiable information (χ 2 = 4.31, p = 0.038) and information on others’ current living situations (χ 2 = 4.17, p = 0.041). Students who had perpetrated doxing acts were more likely to have experienced information disclosure as victims, perpetrators, or bystanders. Future studies should examine doxing’s impacts and its relationship with other forms of cyberbullying and traditional bullying. Because doxing may lead to on- and off-line harassment, family, adolescents, schools, and communities must work together to develop effective approaches for combating it.

Thursday, December 20, 2018

Chen, Chan and Cheung on Doxing Victimization and Emotional Problems among Secondary School Students in Hong Kong (Int'l J Env Res & Pub Health)

Qiqi Chen, Ko Ling Chan, and Anne Cheung
published in 2018, Volume 15, Issue 12, p. 2665
Abstract: Doxing is the searching for and intentional disclosure of private information about a particular individual on the Internet without his or her consent, and is often used to exact punishment. The aim of this study was to investigate the associations between doxing victimization and emotional problems in secondary school students, paying particular regard to the impacts of different types of doxed information, the relationship between the perpetrators and victims of doxing, and the nature of the online platforms where doxing occurs. A sample of 2120 Hong Kong secondary school students of differing socioeconomic backgrounds participated in the study. The results show that almost all types of disclosed personal information result in negative feelings in victims, including depression, anxiety, and stress. Girls were also found to be more likely than boys to be doxed. Significant associations were found between emotional problems and the disclosure of mobile phone numbers and personal photos and videos; doxing conducted by schoolmates and anxiety and depression, and doxing through Instant Messenger and anxiety. Further exploration of integrated cyber violence prevention programs and research on the details of doxing are recommended.  Click here to read the full article.

Friday, September 7, 2018

Anne Cheung Interviewed on Cyberbullying in Hong Kong (RTHK Radio)

"Efforts to combat cyber-bullying among young people"
Backchat, RTHK Radio 3
6 Sept 2018
The problem of online harassment and abuse, particularly among young people, has been around for a long time, but a recent study by the Polytechnic University has cast light on a practice known as "doxxing", which involves someone's personal details being disclosed on the internet by others, and without consent. More than 20 percent of the victims identified in the study said they'd experienced depression and anxiety. So what should be done about it? A number of academics and legal experts say our current laws for dealing with online bullying are out of date, and new, targeted legislation is required.  Panelists: Anne Cheung, Professor, Faculty of Law, University of Hong Kong; Mark Cheung, Executive Director, Kids4Kids; Wan Lap-man, Supervisor (Services for Youth at Risk), Hong Kong Playground Association; Chester Soong, Director, Hong Kong Internet Society; Cameron Su, Student, Hong Kong International School; and Author of “Memories Cached”.  Click here to listen to the recording of the radio programme.
     HKU's Law and Technology Centre organised a one-day conference on cyberbullying on 4 September 2018.  Click here to access the conference website.  For other media coverage of this event, see SCMP, Young PostMing Pao 1 (Chinese), Ming Pao 2 (Chinese), RTHK (Chinese radio), and Wen Wei Po (Chinese).

Monday, July 30, 2018

Anne Cheung on Moving Beyond Consent For Citizen Science in Big Data Health and Medical Research (Northwestern J Tech & IP)

Anne Cheung
Northwestern Journal of Technology and Intellectual Property
Summer 2018, Volume 16, Issue 1
Abstract: Consent has been the cornerstone of the personal data privacy regime. This notion is premised on the liberal tenets of individual autonomy, freedom of choice, and rationality. The above concern is particularly pertinent to citizen science in health and medical research, in which the nature of research is often data intensive with serious implications for individual privacy and other interests. Although there is no standard definition for citizen science, it includes generally the gathering and volunteering of data by non-professionals, the participation of non-experts in analysis and scientific experimentation, and public input into research and projects. Consent from citizen scientists determines the responsibility and accountability of data users. Yet with the advancement of data mining and big data technologies, risks and harm of subsequent data use may not be known at the time of data collection. Progress of research often extends beyond the existing data. In other words, consent becomes problematic in citizen science in the big data era. The notion that one can fully specify the terms of participation through notice and consent has become a fallacy. Is consent still valid? Should it still be one of the critical criteria in citizen science health and medical research which is collaborative and contributory by nature? With a focus on the issue of consent and privacy protection, this study analyzes not only the traditional informed consent model but also the alternative models. Facing the challenges that big data and citizen science pose to personal data protection and privacy, this article explores the legal, social, and ethical concerns behind the concept of consent. It argues that we need to move beyond the consent paradigm and take into account the much broader context of harm and risk assessment, focusing on the values behind consent – autonomy, fairness and propriety in the name of research.  Click here to download the full article.

Friday, July 20, 2018

HKLII Launches New Database: Hong Kong Treaty Series

Users of the Hong Kong Legal Information Institute (HKLII) will be pleased to know a  new resource has been added.  Hong Kong Treaty Series is an electronically searchable database containing the full text of 
(4) treaties that are applicable to Hong Kong. 
     Distinctively the database can be viewed and searched alphabetically, by year, category, countries, international organizations and bodies and keywords. HKLII users can now locate treaties and international agreements applicable to Hong Kong in a one-stop portal.  HKLII thanks the Hong Kong Department of Justice for providing access to the relevant data.  This project is supported by the HKU Knowledge Exchange Fund.

Tuesday, May 22, 2018

Clement Chen & Anne Cheung on The Transparent Self under Big Data Profiling: Privacy and Chinese Legislation on the Social Credit System (Journal of Comparative Law)

"The Transparent Self under Big Data Profiling: Privacy and Chinese Legislation on the Social Credit System"
Yongxi Chen & Anne Cheung
The Journal of Comparative Law
published in Feb 2018
Volume 12, Issue 2, pp. 356-378
Introduction: Big data is one of the buzz phrases of the 21st century, concerning not only the digitalisation of data on billions of individuals, but also what those in power are able to do with that data.  The defining characteristic of big data is the capacity to search, aggregate and cross-reference large datasets for analysis to identify previously undetectable patterns, as well as the power to profile individuals, calculate risks, and monitor and even predict behaviour.  When big data is harvested by governments, the worry is that the totality of individuals' lives will be captured, that citizens will be monitored and that the Orwellian state will become a reality.
     In China, such a worry seems far from unfounded given the Chinese Communist Party's (CCP) roll-out of its powerful Social Credit System (SCS).  Launched at the national level in 2014, the system's aim is to assess the trustworthiness of Chinese citizens in keeping their promises and complying with legal rules, moral norms, and professional and ethical standards.  It is essentially an all-encompassing, penetrative system of personal data processing, manifested by the comprehensive collection and expansive use of personal data with the explicit intention on the Chinese government's part of harnessing the ambition and power of big data technology.  The SCS rates both business entities and individuals.  According to its blueprint, the records that are collected can be extensively used by the authorities and business entities alike for a variety of purposes broadly related to 'encouraging trustworthiness and punishing untrustworthiness'.
     Whilst the use of big data analytics in the context of credit scoring and the rating of individuals is not unique to China, in other jurisdictions it is usually confined to the financial arena and regulated by law.  What differentiates China is the scale of the data collected, the scope of its use and, particularly important for the purposes of this article, the apparent lack of a comprehensive legal system to protect personal data.  Despite the introduction of the Cyber Security Law in 2016 in relation to online data, the extension of civil law protection to consumer data in 2013, and the criminalisation of the unlawful gathering, receipt and sale of personal data in 2009, personal data as a general subject has yet to be clearly defined and effectively protected under Chinese law.   The rights that data subjects are entitled to under a personal data protection regime are rarely mentioned in China and are, at best, provided for under scattered sector-specific laws.
     Given the inadequate protection afforded to personal data in China, the country is an ideal social laboratory for big data experimentation, data intelligence and mass surveillance.  Individuals risk being reduced to transparent selves before the state in this uneven battle.  They are uncertain about what contributes to their social credit scores, how those scores are combined with the state system and how their data is interpreted and used.  In short, the big data-driven SCS is confronting Chinese citizens with major challenges to their privacy and personal data.
     Although the State Council's Planning Outline for the Construction of the Social Credit System ('SCS Outline' hereafter) sketches out an ambitious blueprint, it is the pilot legislation implemented at the local level since 2014 that has institutionalised the collection and use of social credit-related data.  To analyse China's emerging SCS under existing international legal principles concerning personal data protection, this article identifies and compares typical examples of relevant legislation at the local level and discusses their implications for personal data protection.  It argues that existing legislation and proposed regulations require substantial revisions to mitigate the impact of the SCS on data privacy and other interests critical to individual citizens.
     The article begins by mapping out the background to the construction of China's big data social laboratory and the SCS.  The next section examines the system's social management aim and comprehensive sanction system, as well as its nature as a collaborate project between the authorities and the business sector.  The section which follows then summarises the legislative history and evolving concept of social credit and analyses the nature of individuals' rights to personal data protection under China's uncoordinated legal framework.  The article then reviews local social credit legislation with reference to the three cardinal principles of personal data protection most closely related to data subjects' control over the processing of their data: firstly, the data collection principle,;secondly, the data usage principle, and thirdly, data subjects' right to access and correct their own data.  The final section concludes that although local legislation provides nominal rights of access to, and a few restrictions on, the collection and use of data, it has largely failed to secure meaningful control over personal data for individuals.  These legislative defects relate to the very purpose of the SCS and to extra-legal restrictions inherited from the pre-reform party-state regime.

Monday, February 12, 2018

Family Victimisation and Adolescent Cyberbullying in China (Child Abuse & Neglect)

QiQi Chen,  Camilla K.M. Lo,  Yuhong Zhu,  Anne Cheung,  Ko Ling Chan, and Patrick Ip
Child Abuse & Neglect
March 2018, Volume 77, pages 180–187
Abstract: The sustained increase in their use of social networking facilitates the development of adolescents but comes with the risk of cyberbullying, which creates new challenges in regard to adolescent protection. Past evidence shows that family victimization may play an essential role in the way adolescents learn cyberbullying behaviors. Yet, research on the co-occurrence of family victimization and cyberbullying is limited. This study aims to investigate the associations between cyberbullying and family victimization among adolescents, and to examine the health correlates of cyberbullying and family poly-victimization. A large sample of 18,341 students, aged 15–17, from six cities in China, collected between 2009 and 2010 is employed in the present study, which investigated the association between various kinds of family victimization and adolescent cyberbullying. Data analysis was conducted in 2017. In-law conflict, intimate partner violence, elder abuse and neglect, and child maltreatment were associated with a higher possibility of children becoming internet victims. Parents’ divorce and separation, low family income, mother’s low level of education, and father’s unemployment were all associated with cyberbullying victimization. Cyber victimization was positively correlated to symptoms of PTSD and depression, self-harm, and other physical and mental health variables. Possible explanations for the relationships found in this study are discussed and implications for future research and services are provided. Proactive screening for family poly-victimization and cyberbullying is suggested. Schools are highly recommended to cooperate with parents to promote cyber safety.

Tuesday, January 30, 2018

Anne Cheung and Clement Chen's Work on Big Data in China Profiled in HKU's Bulletin (Jan 2018)

Bulletin
Jan 2018, Vol 19, No 2
How can individuals be protected when their personal data is constantly being collected for uses that may not be apparent until some future date? And when it may not be obvious who is collecting that data?
     As giants like Google, Facebook, WeChat and Alibaba track their users every minute of the day, these questions are rising high on government agendas around the world. In little more than a decade, most people now share personal information in order to gain access to services – whether socialising, shopping, seeking entertainment, or checking up on their health. Even our whereabouts can be tracked at every moment if the location service on our phones is turned on.
     That goldmine of information is being used by both businesses and governments to make decisions about individuals and groups, such as how much to charge certain users for services, whether to deny them access and what trends are revealed by their data. And therein lie several problems.
    First, the story told by big data may not be an accurate one. Professor John Bacon-Shone of the Faculty of Social Sciences, a statistician with an interest in big data and privacy who also advises the Hong Kong Government on the issues, cites the example of the Google Flu Trends web service which aggregated search queries about flu to predict outbreaks. “The problem is, it’s just an association, not causation, and it doesn’t work well at prediction. If you have a different type of flu, the whole thing falls apart,” he said...
     Personal data protection laws typically require banks and other institutions to keep accurate up-to-date information and disclose how it will be used. But when the technology is changing rapidly, with new and unanticipated uses becoming possible, this may no longer be sufficient.
     Professor Anne SY Cheung of the Faculty of Law has been studying privacy and personal data protection and is co-editor of the 2015 book Privacy and Legal Issues in Cloud Computing. “Recent legal reforms and position papers from the European Union (EU), the UK and the US have raised concerns about the problem of profiling, predictive decisions and discrimination, and the harm that may result from that. This is because the use of big data is very different from our traditional understanding of how to regulate personal data.
     “The traditional approach is essentially one of notice and consent: the collection of personal data is allowed only for a specific and limited purpose. But in the age of big data, the more data one has, the more accurate and arguably useful one’s conclusions will be. So the collector tries to collect as much data as possible and only after they have it and have done their analysis, will they find correlations and identify the purpose,” she said...

China: Big data, big brother?
The use of big data in China is of an altogether different level of concern from commercial uses of personal information.  The central government is in the process of rolling out a social credit system that draws on big data to rate each individual's reputation based on their political leanings, purchase history, social interactions and other factors.  
     "China is like a big data laboratory," said Professor Cheung, who has been studying the situation there with colleague Dr Clement Chen.  "Arguably, there is 360-degree surveillance watching individuals and gathering data. They have real-name registration [for mobile and internet services] and close connections between the government and the banking system and internet companies"...  Click here to read the full article.

Monday, October 23, 2017

New Issue: SSRN Legal Studies Research Paper Series (HKU)

Vol. 7, No. 8: Oct 17, 2017

Inna Amesheva, The University of Hong Kong, Faculty of Law, Students

Anne S. Y. Cheung, The University of Hong Kong - Faculty of Law
Wolfgang Schulz, Hans-Bredow-Institute for Media Research, Alexander von Humboldt Institute for Internet and Society

Roderick M. Hills, Jr., New York University School of Law
Shitong Qiao, The University of Hong Kong - Faculty of Law

Po Jen Yap, The University of Hong Kong - Faculty of Law

Saturday, September 16, 2017

HKU Law Faculty Awarded Four KE Impact Project Awards 2017/18

The University of Hong Kong's Knowledge Exchange (KE) Funding Scheme for Impact Projects supports (A) projects that have the potential to create social, economic, environmental or cultural impacts for industry, business or the community by building on expertise or knowledge in the University; and (B) projects designed to collect evidence for corroboration and evaluation of impacts. Engagement projects that aim to benefit non-academic communities beyond Hong Kong are strongly encouraged.  
     The Faculty of Law was successful in obtaining four awards in the 2017/18 round of funding, each in the amount of HK$100,000.  Congratulations to Dora Chan, Katherine Lynch, Anne Cheung and Richard Wu.  The details of their projects are described below:

Ms Dora Chan 
E-package of DIY Residential Tenancy Agreement 
The proposed project aims to provide the public community with a template residential tenancy agreement and a set of useful guidelines (including stamping and registration procedures) on how to enter into a valid residential tenancy agreement. Members of the public can then use and adapt the template to independently enter into a tenancy agreement for their residential homes, an important document that has a significant impact on their daily lives, without the costs and trouble of engaging a lawyer. The main objective is to provide free legal support to the community and to encourage knowledge exchange on tenancy matters. 

Ms Katherine Lynch 
Evaluation of the Children’s Issues Forums & Legal Reform of Child and Family Law & Policy in Hong Kong 
This project aims to collect evidence for corroboration and evaluation of impacts arising from the research and knowledge exchange project, “Children’s Issues Forums & Legal Reform of Child and Family Law in Hong Kong”, which created a multidisciplinary forum enhancing policy and legal reform for children’s issues in Hong Kong. The project will evaluate through quantitative and qualitative measures the impact of the project on increasing public awareness of children’s issues, changing legal policy on and creating pressure for law reform in Hong Kong’s child and family justice system. 

Professor Anne Cheung 
Hong Kong SAR Treaties e-Library 
The proposed project aims to provide free access to legal information for the public in Hong Kong by building a one-stop comprehensive and electronically searchable database of treaties and international agreements applied to the Hong Kong SAR in Hong Kong Legal Information Institute (HKLII). The key objective is to support the community and engage in knowledge exchange.

Dr Richard Wu 
Engaging Local School Teachers with Common Law Concepts and Values Through Experiential Learning 
This project is a pioneering interdisciplinary collaboration in common law education for local school teachers between academics from HKU Law and Social Science Faculties as well as academics from two other local universities. On basis of the project team members’ previous teaching and research projects on common law education for ‘non-law’ students and experiential learning in law, as well as teacher education, this project will engage local school teachers with common law concepts and values through experiential learning like case discussion, personal sharing by senior lawyers, and visual media . The project attempts to impact local school teachers by promoting their understanding of the common law system in Hong Kong and enhance their awareness of general common law concepts and specific common law values like justice and equality. 

Thursday, August 31, 2017

6th Asian Privacy Scholars Network International Conference @ HKU (27 Sept 2017)

"The 6th Asian Privacy Scholars Network International Conference" 
organized by The Law and Technology Centre of the Faculty of Law, HKU
Date: 27th September (Wed), 2017 
Time: 9:00 - 19:00 
Venue: Academic Conference Room, 11/F, Cheng Yu Tung Tower, Centennial Campus, 
The University of Hong Kong

The Law and Technology Centre of the Faculty of Law, The University of Hong Kong, has the pleasure to host the 6th APSN International Conference on the 27th September 2017.
     This conference coincides with the 39th International Conference of Data Protection and Privacy Commissioners which will take place in Hong Kong from the 25th to 29th September 2017. Government officials, legal practitioners, academics, advocates and representatives of business and non-governmental organizations across the world will gather at this international conference. It is an opportune moment for APSN members to meet up during this period to study the latest developments of privacy and data protection across the globe.
     Challenges of privacy and data protection evolves at a rapid pace on par with new technology development. This APSN International Conference aims to give an update on the latest development, trends and status in privacy and data protection. We hope to gain insights and draw on experience from our speakers on current issues, including but not limited to Big Data analytics, data-driven governance, artificial intelligence, algorithms, and cyber security.

For more details, please click: http://www.asianprivacy.org/apsn2017/ 

Thursday, August 17, 2017