Blockchain and General Data Protection Regulation (GDPR) compliance issues (2019)

Blockchain and General Data Protection Regulation (GDPR) compliance issues (2019)

I. Brief

  Blockchain technology can solve the problem of trust between data demanders and data providers. In other words, in a centralized mode, data demanders can only choose to believe that the centralized platform will not contain the false information. However, in the decentralized mode, data isn’t controlled by one individual group or organization[1], data demanders can directly verify information such as data source, time, and authorization on the blockchain without worrying about the correctness and authenticity of the data.

  Take the “immutable” for example, it is conflict with the right to erase (also known as the right to be forgotten) in the GDPR.With encryption and one-time pad (OTP) technology, data subjects can make data off-chain storaged or modified at any time in a decentralized platform, so the problem that data on blockchain not meet the GDPR regulation has gradually faded away.

II. What is GDPR?

  The purpose of the EU GDPR is to protect user’s data and to prevent large-scale online platforms or large enterprises from collecting or using user’s data without their permission. Violators will be punished by the EU with up to 20 million Euros (equal to 700 million NT dollars) or 4% of the worldwide annual revenue of the prior financial year.

  The aim is to promote free movement of personal data within the European Union, while maintaining adequate level of data protection. It is a technology-neutral law, any type of technology which is for processing personal data is applicable.

  So problem about whether the data on blockchain fits GDPR regulation has raise. Since the blockchain is decentralized, one of the original design goals is to avoid a large amount of centralized data being abused.

  Blockchain can be divided into permissioned blockchains and permissionless blockchains. The former can also be called “private chains” or “alliance chains” or “enterprise chains”, that means no one can join the blockchain without consent. The latter can also be called “public chains”, which means that anyone can participate on chain without obtaining consent.

  Sometimes, private chain is not completely decentralized. The demand for the use of blockchain has developed a hybrid of two types of blockchain, called “alliance chain”, which not only maintains the privacy of the private chain, but also maintains the characteristics of public chains. The information on the alliance chain will be open and transparent, and it is in conflict with the application of GDPR.

III. How to GDPR apply to blockchain ?

  First, it should be determined whether the data on the blockchain is personal data protected by GDPR. Second, what is the relationship and respective responsibilities of the data subject, data controller, and data processor? Finally, we discuss the common technical characteristics of blockchain and how it is applicable to GDPR.

1. Data on the blockchain is personal data protected by GDPR?

  First of all, starting from the technical characteristics of the blockchain, blockchain technology is commonly decentralized, anonymous, immutable, trackable and encrypted. The other five major characteristics are immutability, authenticity, transparency, uniqueness, and collective consensus.

  Further, the blockchain is an open, decentralized ledger technology that can effectively verify and permanently store transactions between two parties, and can be proved.

  It is a distributed database, all users on the chain can access to the database and the history record, also can directly verify transaction records. Each nodes use peer-to-peer transmission for upload or transfer information without third-party intermediation, which is the unique “decentralization” feature of the blockchain.

  In addition, the node or any user on the chain has a unique and identifiable set of more than 30 alphanumeric addresses, but the user may choose to be anonymous or provide identification, which is also a feature of transparency with pseudonymity[2]; Data on blockchain is irreversibility of records. Once the transaction is recorded and updated on the chain, it is difficult to change and is permanently stored in the database, that is to say, it has the characteristics of “tamper-resistance”[3].

  According to Article 4 (1) of the GDPR, “personal data” means any information relating to an identified or identifiable natural person (‘data subject’); an identifiable natural person is one who can be identified, directly or indirectly, in particular by reference to an identifier such as a name, an identification number, location data, an online identifier or to one or more factors specific to the physical, physiological, genetic, mental, economic, cultural or social identity of that natural person.

  Therefore, if data subject cannot be identified by the personal data on the blockchain, that is an anonymous data, excluding the application of GDPR.

(1) What is Anonymization?

  According to Opinion 05/2014 on Anonymization Techniques by Article 29 Data Protection Working Party of the European Union, “anonymization” is a technique applied to personal data in order to achieve irreversible de-identification[4].

  And it also said the “Hash function” of blockchain is a pseudonymization technology, the personal data is possible to be re-identified. Therefore it’s not an “anonymization”, the data on the blockchain may still be the personal data stipulated by the GDPR.

  As the blockchain evolves, it will be possible to develop technologies that are not regulated by GDPR, such as part of the encryption process, which will be able to pass the court or European data protection authorities requirement of anonymization. There are also many compliance solutions which use technical in the industry, such as avoiding transaction data stored directly on the chain.

2. International data transmission

  Furthermore, in accordance with Article 3 of the GDPR, “This Regulation applies to the processing of personal data in the context of the activities of an establishment of a controller or a processor in the Union, regardless of whether the processing takes place in the Union or not. This Regulation applies to the processing of personal data of data subjects who are in the Union by a controller or processor not established in the Union, where the processing activities are related to: (a) the offering of goods or services, irrespective of whether a payment of the data subject is required, to such data subjects in the Union; or (b) the monitoring of their behaviour as far as their behaviour takes place within the Union”.[5]

  In other words, GDPR applies only when the data on the blockchain is not anonymized, and involves the processing of personal data of EU citizens.

3. Identification of data controllers and data processors

  Therefore, if the encryption technology involves the public storage of EU citizens' personal data and passes it to a third-party controller, it may be identified as the “data controller” under Article 4 of GDPR, and all nodes and miners of the platform may be deemed as the “co-controller” of the data, and be assumed joint responsibility with the data controller by GDPR. For example, the parties can claim the right to delete data from the data controller.

  In addition, a blockchain operator may be identified as a “processor”, for example, Backend as a Service (BaaS) products, the third parties provide network infrastructure for users, and let users manage and store personal data. Such Cloud Services Companies provide online services on behalf of customers, do not act as “data controllers”. Some commentators believe that in the case of private chains or alliance chains, such as land records transmission, inter-bank customer information sharing, etc., compared to public chain applications: such as cryptocurrencies (Bitcoin for example), is not completely decentralized, and more likely to meet GDPR requirements[6]. For example, in the case of a private chain or alliance chain, it is a closed platform, which contains only a small number of trusted nodes, is more effective in complying with the GDPR rules.

4. Data subject claims

  In accordance with Article 17 of the GDPR, The data subject shall have the right to obtain from the controller the erasure of personal data concerning him or her without undue delay and the controller shall have the obligation to erase personal data without undue delay under some grounds.

  Off-chain storage technology can help the blockchain industry comply with GDPR rules, allowing offline storage of personal data, or allow trusted nodes to delete the private key of encrypted information, which leaving data that cannot be read and identified on the chain. If the data is in accordance with the definition of anonymization by GDPR, there is no room for GDPR to be applied.

IV. Conclusion

  In summary, it’s seem that the application of blockchain to GDPR may include: (a) being difficulty to identified the data controllers and data processors after the data subject upload their data. (b) the nature of decentralized storage is transnational storage, and Whether the country where the node is located, is meets the “adequacy decision” of Article 45 of the GDPR.

  If it cannot be met, then it needs to consider whether it conforms to the transfers subject to appropriate safeguards of Article 46, or the derogations for specific situations of Article 49 of the GDPR.

 

Reference:

[1] How to Trade Cryptocurrency: A Guide for (Future) Millionaires, https://wikijob.com/trading/cryptocurrency/how-to-trade-cryptocurrency

[2] DONNA K. HAMMAKER, HEALTH RECORDS AND THE LAW 392 (5TH ED. 2018).

[3] Iansiti, Marco, and Karim R. Lakhani, The Truth about Blockchain, Harvard Business Review 95, no. 1 (January-February 2017): 118-125, available at https://hbr.org/2017/01/the-truth-about-blockchain

[4] Article 29 Data Protection Working Party, Opinion 05/2014 on Anonymisation Techniques (2014), https://www.pdpjournals.com/docs/88197.pdf

[5] Directive 95/46/EC (General Data Protection Regulation), https://eur-lex.europa.eu/legal-content/EN/TXT/HTML/?uri=CELEX:32016R0679&from=EN

[6] Queen Mary University of London, Are blockchains compatible with data privacy law? https://www.qmul.ac.uk/media/news/2018/hss/are-blockchains-compatible-with-data-privacy-law.html

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Consequently, by the observation of Israel’s national technology system framework and technology regulations, Israel’s experience shall be a valuable reference for Taiwanese government to build a better model for public technology sectors for future cooperation. Following harsh international competition, each country around the world is trying to find out the way to improve its ability to upgrade international competitiveness and to put in more power to promote technology innovation skills. Though, while governments are wondering how to strengthen their countries’ superiority, because of the differences on culture and economy, those will influence governments’ points of view to form an appropriate national innovative system, and will come with a different outcome. Israel, as a result of the fact that its short natural resources, recently, its stunning performance on technology innovation system makes others think about whether Israel has any characteristics or advantages to learn from. According to Israeli Central Bureau of Statistics records, Israel’s national expenditures on civilian R&D in 2013 amounted to NIS 44.2 billion, and shared 4.2% of the GDP. Compared to 2012 and 2011, the national expenditure on civilian R&D in 2013, at Israel’s constant price, increased by 1.3%, following an increase of 4.5% in 2012 and of 4.1% in 2011. Owing to a high level of national expenditure poured in, those, directly and indirectly, makes the outputs of Israel’s intellectual property and technology transfer have an eye-catching development and performance. Based on Israeli Central Bureau of Statistics records, in 2012-2013, approximately 1,438 IP invention disclosure reports were submitted by the researchers of various universities and R&D institutions for examination by the commercialization companies. About 1,019 of the reports were by companies at the universities, an increase of 2.2% compared to 2010-2011, and a 1% increase in 2010-2011 compared to 2008-2009. The dominant fields of the original patent applicants were medicines (24%), bio-technology (17%), and medical equipment (13%). The revenues from sales of intellectual property and gross royalties amounted to NIS 1,881 million in 2012, compared to NIS 1,680 million in 2011, and increase of 11.9%. The dominant field of the received revenues was medicines (94%). The revenues from sales of intellectual property and gross royalties in university in 2012 amounted to NIS 1,853 million in 2012, compared to NIS 1,658 million in 2011, an increase of 11.8%. 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At the same time, the parliament is re-elected in every four years, and the Israeli prime minister, taking charge of national policies, is elected from the parliament members by the citizens. The decision of Israel’s technology policy is primarily made by the Israeli Ministers Committee for Science and Technology and the Ministry of Science and Technology. The chairman of the Israeli Ministry Committee for Science and Technology is the Minister of Science and Technology, and takes charge of making the guideline of Israel’s national technology development policy and is responsible for coordinating R&D activities in Ministries. The primary function of the Ministry of Science and Technology is to make Israel’s national technology policies and to plan the guideline of national technology development; the scope includes academic research and applied scientific research. 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Among the aforementioned units, NCRD and the Steering Committee for Scientific Infrastructure not only provide policy counseling, but also play a role in coordinating R&D among Ministries. NCRD is composed by the Chief Scientists Forums in Ministries, the chairman of Planning and Budgeting Committee, the financial officers, entrepreneurs, senior scientists and the Dean of Israel Academy of Sciences and Humanities. NCRD’s duties include providing suggestions regarding the setup of R&D organizations and related legal system, and advices concerning how to distribute budgets more effectively; making yearly and long-term guidelines for Israel’s R&D activities; suggesting the priority area of R&D; suggesting the formation of necessary basic infrastructures and executing the priority R&D plans; recommending the candidates of the Offices of Chief Scientists in Ministries and government research institutes. As for the Steering Committee for Scientific Infrastructure, the role it plays includes providing advices concerning budgets and the development framework of technology basic infrastructures; providing counsel for Ministries; setting up the priority scientific plans and items, and coordinating activities of R&D between academic institutes and national research committee. At last, as for MOLMOP, it was founded by the Israeli parliament in 2002, and its primary role is be a counseling unit regarding technology R&D issues for Israel government and related technology Ministries. As for MOLMOP’s responsibilities, which include providing advices regarding the government’s yearly and long-term national technology R&D policies, providing the priority development suggestion, and providing the suggestions for the execution of R&D basic infrastructure and research plans. B.The Management and Subsidy of Israel’s Technology plans Regarding the institute for the management and the subsidy of Israel’s technology plans, it will be different because of grantee. Israel Science Foundation (ISF) takes responsibility for the subsidy and the management of fundamental research plans in colleges, and its grantees are mainly focused on Israel’s colleges, high education institutes, medical centers and research institutes or researchers whose areas are in science and technical, life science and medicine, and humanity and social science. As for the budget of ISF, it mainly comes from the Planning and Budgeting Committee (PBC) in Israel Council for Higher Education. In addition, the units, taking charge of the management and the subsidy of technology plans in the government, are the Offices of the Chief Scientist in Ministries. Israel individually forms the Office of the Chief Scientist in the Ministry of Agriculture and Rural Development, the Ministry of Communications, the Ministry of Defense, the Ministry of National Infrastructures, Energy and Water Resources, the Ministry of Health and the Ministry of Economy. The function of the Office of the Chief Scientist not only promotes and inspires R&D innovation in high technology industries that the Office the Chief Scientist takes charge, but also executes Israel’s national plans and takes a responsibility for industrial R&D. Also, the Office of the Chief Scientist has to provide aid supports for those industries or researches, which can assist Israel’s R&D to upgrade; besides, the Office of the Chief Scientists has to provide the guide and training for enterprises to assist them in developing new technology applications or broadening an aspect of innovation for industries. Further, the Office of the Chief Scientists takes charge of cross-country R&D collaboration, and wishes to upgrade Israel’s technical ability and potential in the area of technology R&D and industry innovation by knowledge-sharing and collaboration. III.The Recent Situation of the Management and the Distribution of Israel’s Technology Budget A.The Distribution of Israel’s Technology R&D Budgets By observing Israel’s national expenditures on civilian R&D occupied high share of GDP, Israel’s government wants to promote the ability of innovation in enterprises, research institutes or universities by providing national resources and supports, and directly or indirectly helps the growth of industry development and enhances international competitiveness. However, how to distribute budgets appropriately to different Ministries, and make budgets can match national policies, it is a key point for Israel government to think about. Following the Israeli Central Bureau of Statistics records, Israel’s technology R&D budgets are mainly distributed to some Ministries, including the Ministry of Science and Technology, the Ministry of Economy, the Ministry of Agriculture and Rural Development, the Ministry of National Infrastructures, Energy and Water Resources, the Israel Council for Higher Education and other Ministries. As for the share of R&D budgets, the Ministry of Science and Technology occupies the share of 1.7%, the Ministry of Economy is 35%, the Israel Council for Higher Education is 45.5%, the Ministry of Agriculture and Rural Development is 8.15%, the Ministry of National Infrastructures, Energy and Water Resources is 1.1%, and other Ministries are 7.8% From observing that Israel R&D budgets mainly distributed to several specific Ministries, Israel government not only pours in lot of budgets to encourage civilian technology R&D, to attract more foreign capitals to invest Israel’s industries, and to promote the cooperation between international and domestic technology R&D, but also plans to provide higher education institutes with more R&D budgets to promote their abilities of creativity and innovation in different industries. In addition, by putting R&D budgets into higher education institutes, it also can indirectly inspire students’ potential innovation thinking in technology, develop their abilities to observe the trend of international technology R&D and the need of Israel’s domestic industries, and further appropriately enhance students in higher education institutes to transfer their knowledge into the society. B.The Management of Israel’s Technology R&D Budgets Since Israel is a cabinet government, the cabinet takes responsibility for making all national technology R&D policies. The Ministers Committee for Science and Technology not only has a duty to coordinate Ministries’ technology policies, but also has a responsibility for making a guideline of Israel’s national technology development. The determination of Israel’s national technology development guideline is made by the cabinet conference lead by the Prime Minister, other Ministries does not have any authority to make national technology development guideline. Aforementioned, Israel’s national technology R&D budgets are mainly distributed to several specific Ministries, including the Ministry of Science and Technology, the Ministry of Economy, the Ministry of Agriculture and Rural Development, the Ministry of National Infrastructures, Energy and Water Resources, the Israel Council for Higher Education, and etc. As for the plan management units and plan execution units in Ministries, the Office of the Chief Scientist is the plan management unit in the Ministry of Science and Technology, and Regional Research and Development Centers is the plan execution unit; the Office of the Chief Scientist is the plan management unit in the Ministry of Economy, and its plan execution unit is different industries; the ISF is the plan management units in the Israel Council for Higher Education; also, the Office of the Chief Scientist is the plan management unit in the Ministry of Agriculture, and its plan execution units include the Institute of Field and Garden Corps, the Institute of Horticulture, the Institute of Animal, the Institute of Plan Protection, the Institute of Soil, Water & Environmental Sciences, the Institute for Technology and Storage of Agriculture Products, the Institute of Agricultural Engineering and Research Center; the Office of the Chief Scientist is the plan management unit in the Ministry of National Infrastructures, Energy and Water Resources, and its plan execution units are the Geological Survey of Israel, Israel Oceanographic and Limnological Research and the Institute of Earth and Physical. As for other Ministries, the Offices of the Chief Scientist are the plan management units for Ministries, and the plan execution unit can take Israel National Institute for Health Policy Research or medical centers for example.

Draft of AI Product and System Evaluation Guidelines Released by the Administration for Digital Industries to Enhance AI Governance

Draft of AI Product and System Evaluation Guidelines Released by the Administration for Digital Industries to Enhance AI Governance 2024/08/15 I. AI Taiwan Action Plan 2.0 In 2018, the Executive Yuan launched the “AI Taiwan Action Plan” to ensure that the country keeps pace with AI developments. This strategic initiative focuses on attracting top talent, advancing research and development, and integrating AI into critical sectors such as smart manufacturing and healthcare. The action plan has sparked growing discussion on AI regulation. Through these efforts, Taiwan aims to position itself as a frontrunner in the global smart technology landscape. Later in 2023, the Executive Yuan updated the action plan, releasing “AI Taiwan Action Plan 2.0” to further strengthen AI development. “AI Taiwan Action Plan 2.0” outlines five main pillars: 1. Talent Development: Enhancing the quality and quantity of AI expertise, while improving public AI literacy through targeted education and training initiatives. 2. Technological and Industrial Advancement: Focusing on critical AI technologies and applications to foster industrial growth; and creating the Trustworthy AI Dialogue Engine (TAIDE) that communicates in Traditional Chinese. 3. Enhancing work environments: Establishing robust AI governance infrastructure to facilitate industry and governmental regulation, and to foster compliance with international standards. 4. International Collaboration: Expanding Taiwan's role in international AI forums, such as the Global Partnership on AI, to collaborate on developing trustworthy AI practices. 5. Societal and Humanitarian Engagement: Utilizing AI to tackle pressing societal challenges such as labor shortages, an aging population, and environmental sustainability. II. AI Product and System Evaluation Guidelines: A Risk-based Approach to AI Governance To support infrastructure, in March 2024, the Administration for Digital Industries issued the draft AI Product and System Evaluation Guidelines. The Guidelines are intended to serve as a reference for industry when developing and using AI products and systems, thus laying a crucial foundation for advancing AI-related policies in Taiwan. The Guidelines outline several potential risks associated with AI: 1. Third-Party Software and Hardware: While third-party software, hardware, and datasets can accelerate development, they may also introduce risks into AI products and systems. Therefore, effective risk management policies are crucial. 2. System Transparency: The lack of transparency in AI products and systems makes risk assessment relatively challenging. Inadequate transparency in AI models and datasets also pose risks for development and deployment. 3. Differences in Risk Perception: Developers of AI products and systems may overlook risks specific to different application scenarios. Moreover, risks may gradually emerge as the product or system is used and trained over time. 4. Application Domain Risks: Variations between testing results and actual operational performance can lead to differing risk assessments for evaluated products and systems. 5. Deviation from Human Behavioral Norms: If AI products and systems behave unexpectedly compared to human operations, this can indicate a drift in the product, system, or model, thereby introducing risks. The Guidelines also specify that businesses have to categorize risks when developing or using AI products and systems, and manage them in accordance with these classifications. In alignment with the EU AI Act, risks are classified into four levels: unacceptable, high, limited, and minimal. 1. Unacceptable Risk: If AI systems used by public or private entities provide social scoring of individuals, this could lead to discriminatory outcomes and the exclusion of certain groups. Furthermore, if AI systems are employed to manipulate the cognitive behavior of individuals or vulnerable populations, causing physical or psychological harm, such systems are deemed unacceptable and prohibited. 2. High risk: AI systems are classified as high-risk in several situations. These include applications used in critical infrastructure, such as transportation, where there is potential risk to citizens' safety and health. These situations also encompass AI systems involved in educational or vocational training (such as exam scoring), which can determine access to education or professional paths. AI used as safety-critical product components, such as robot-assisted surgery, also falls into this category. In the employment sector, AI systems used for managing recruitment processes, including CV-sorting software, are considered high-risk. Essential private and public services, such as credit scoring systems that impact loan eligibility, also fall under high-risk. AI used in law enforcement in ways that it may affect fundamental rights, such as evaluating the reliability of evidence, is also included. AI systems involved in migration, asylum, and border control, such as automated visa application examinations, are categorized as high-risk. Finally, AI solutions used in the administration of justice and democratic processes, such as court ruling searches, are also classified as high-risk. If an AI system is classified as high risk, it must be evaluated across ten criteria—Safety, Explainability, Resilience, Fairness, Accuracy, Transparency, Accountability, Reliability, Privacy, and Security—to ensure the AI system’s quality. 3. Limited risk: When an AI product or system is classified as having limited risk, it is up to the enterprise to determine whether an evaluation is required. The Guidelines also introduce specific transparency obligations to ensure that humans are informed when necessary, thus fostering trust. For instance, when using AI systems such as chatbots or systems for generating deepfake content, humans must be made aware that they are interacting with a machine so they can take an informed decision to continue or step back. 4. Minimal or no risk: The Guidelines allow the free use of minimal-risk AI. This includes applications such as AI-enabled video games and spam filters. Ⅲ. Conclusion The AI Product and System Evaluation Guidelines represent a significant step forward in establishing a robust, risk-based framework for AI governance in Taiwan. By aligning with international standards like the EU AI Act, these Guidelines ensure that AI products and systems are rigorously assessed and categorized into four distinct risk levels: unacceptable, high, limited, and minimal. This structured approach allows businesses to manage AI-related risks more effectively, ensuring that systems are safe, transparent, and accountable. The emphasis on evaluating AI systems across ten critical criteria—including safety, explainability, and fairness—reflects a comprehensive strategy to mitigate potential risks. This proactive approach not only safeguards the public but also fosters trust in AI technologies. By setting clear expectations and responsibilities for businesses, the Guidelines promote responsible development and deployment of AI, ultimately contributing to Taiwan's goal of becoming a leader in the global AI landscape.

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