Blockchain Papers

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538 papersLast indexed Aug 31, 2026
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May 28, 2019¡US-China Law Review
0 cites
The Vienna Convention on International Sales of Goods and the Bitcoin

MiklĂłs KirĂĄly

Cryptocurrencies like Bitcoin may turn upside down not only the system of currencies but that of the international trade.One of the most intriguing questions is how a currency, like Bitcoin, intended to be used globally, can be inserted in the soundly elaborated system of the Vienna Convention on International Sales of Goods (CISG).The paper focuses on the following topics: the nature of Bitcoin, exchange rate fluctuation and hardship, and the determination of late payment interest.

Open access
Law, logistics, and international trade
Law, AI, and Intellectual Property
Intellectual Property Law
Original source
May 20, 2019¡San Jose State University Library
0 cites
CONTRACT BUILDER ETHEREUM APPLICATION

Colin M. Fowler

Developments in Blockchain, smart contract, and decentralized application (“dApps”) technology have enabled new types of software that can improve efficiency within law firms by increasing speed at which attorneys may draft and execute contracts. Smart contracts and dApps are self-executing software that reside on a blockchain. Custom smart contracts can be built in a modular manner in order to emulate contracts that are commonly generated and executed in law firms. Such contracts include those for the transfer of services, goods, and title. This article explores exactly how implementations of smart contracts for law firms may look.

Open access
Blockchain Technology Applications and Security
Law, AI, and Intellectual Property
Digital Transformation in Law
Original source
Apr 8, 2019¡Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing
9 cites
Smart contracts in view of the civil code

Monika di Angelo, Alfred Soare, Gernot Salzer

Explicit legal regulation is still lacking in many countries for cryptocurrencies like Bitcoin, Ripple, Ethereum, and others. This is not unusual for a new technology. On top of such cryptocurrencies, another new technology, so-called smart contracts, has been established. Smart contracts are specialized computer code with the aim to automate the exchange of (digital) assets. In decentralized applications (Ðapps), parts of the business logic and the data storage of traditional web applications are replaced with smart contracts. They are credited with considerable potential for commercial use, especially in FinTech but also beyond. Smart contracts mostly lack explicit legal regulation as well. Hitherto there is little experience in applying current law to them. Building a business on uncertain terrain is at least risky. We seek a clarification of smart contracts in the legal context, especially against the background of the Civil Code.

Blockchain Technology Applications and Security
Digital Transformation in Law
Law, AI, and Intellectual Property
Original source
Mar 1, 2019¡Legal Information Management
6 cites
Block-chain Reaction: Why Development of Blockchain is at the Heart of the Legal Technology of Tomorrow

Kimberley Rust

Blockchain, arguably the most discussed and promising of FinTech trends, has incredible potential to transform legal technology. Infamous as the technology behind cryptocurrencies, distributed ledger technology (DLT) has developed far beyond these origins and may prove far more valuable than the currency it supports. As a form of DLT, blockchain allows for secure decentralisation of peer-to-peer, irreversible exchanges, providing a transparent and irrevocable record as these occur. The technology is already used across the legal industry and a plethora of opportunities to extend its application bubble beneath the surface, under development, waiting to break into the current market.

Open access
Blockchain Technology Applications and Security
FinTech, Crowdfunding, Digital Finance
Law, AI, and Intellectual Property
Original source
Feb 9, 2019¡SSRN Electronic Journal
1 cites
Accepting Cryptocurrency As Payment for Legal Fees: Ethical and Practical Considerations

Herrick K. Lidstone, Erik Schuessler

In the early 1970s, the legal community grappled with whether to allow payment of legal fees by then-innovative means: the credit card. The first ABA opinion on the subject permitting payment of legal services by credit card was issued in 1974. Today, attorneys are faced with another cutting-edge method of paying legal fees: virtual currency, also known as cryptocurrency. Cryptocurrency is not money - it is property. Attorneys accepting cryptocurrency in payment of fees raises a number of ethical and practical issues which should be addressed by the attorney in the engagement letter with the client.

Open access
FinTech, Crowdfunding, Digital Finance
Blockchain Technology Applications and Security
Law, AI, and Intellectual Property
Original source
Jan 1, 2019¡International Journal of Intellectual Property Management
12 cites
Text mining as a facilitating tool for deploying blockchain technology in the intellectual property rights system

Ibrahim Alnafrah, Elena Bogdanova, Tatiana Maximova

The aim of the study is to introduce a new application of machine-learning techniques (text mining, clustering and classification) and the blockchain technology within the intellectual property rights (IPRs) management system. Using such machine-learning techniques facilitates the management process of intellectual properties (IPs) and makes it more efficient. Additionally, using the blockchain technology for IPRs management purposes enables all stakeholders to utilise the extracted data of the IP objects from the blockchain network. In this study, a text-mining technique was used to identify the two types of IP documents based on specific categories, namely, patent and trademark. In order to achieve this objective, a range of machine-learning techniques was used for 5,500 patent documents and 400 trademark documents. The results of the logistic regression model showed a high level of prediction accuracy of document type at the pre-registration stage on the blockchain network. This high level of prediction accuracy demonstrates that using machine-learning and text-mining techniques will facilitate the IPRs management system. This new application of specific machine-learning techniques in the IPRs management process contributes essentially to solving the problem in a conventional IPRs system associated with rights protection and data availability.

Intellectual Property and Patents
Law, AI, and Intellectual Property
Digital Rights Management and Security
Original source
Jan 1, 2019¡UIC Law Open Access Repository (University of Illinois at Chicago)
0 cites
Panel II: Blockchain Regulation and Criminal Law, 34 UIC J. Marshall J. Priv. & Tech. L. 31 (2019)

Justin Steffen, Michele Korver, Elaine Wyder-Harshman, Michael Baumert ¡ 5 authors

The most disruptive technology to emerge in the past decade, blockchain technology has had an immediate impact on the legal industry to address the new issues that blockchain, cryptocurrencies, and distributed ledger technologies present. This panel discusses current and potential regulatory issues facing blockchain technology, including ICOs and securities regulation, prevention of blockchain use in criminal activities, the uncertain tax landscape, and the unique challenges of regulating a global borderless technology.

Law, AI, and Intellectual Property
Law, Economics, and Judicial Systems
Original source
Jan 1, 2019¡University of Missouri School of Law Scholarship Repository (University of Missouri)
24 cites
Blockchain and the Inevitability of Disputes: The Role for Online Dispute Resolution

Orna Rabinovich‐Einy, Ethan Katsh

Blockchain seems to be everywhere these days. It is touted as the new foolproof technology, which can be used for everything from cryptocurrencies, through land registries to identity cards and health records. Enthusiasts have predicted that it will bring about deep change, ensuring data security and identity authentication, while doing away with traditional intermediaries. With blockchain we are told that it is the “new internet,” an application that will change the way we transact—strengthening commitments and ensuring seamless execution. At the same time, and at an alarming frequency, we hear about mass scale fraudulent schemes attacking cryptocurrency exchanges, resulting in the loss of many millions of dollars. Aside from fraud, other problems abound, resulting from misunderstandings between transacting parties, loss of passwords and privacy risks, to name a few. The gap between the promise of an infallible, dispute-less environment and the inevitable reality of having to deal with disputes in the blockchain setting lies at the heart of this paper. It is, we contend, impossible to enjoy high levels of human interaction without generating conflict. The inevitability of disputes is enhanced in a potentially lucrative environment of innovation and complexity, such as the blockchain. In such settings, unexpected developments are bound to occur, and expectations of interacting parties are likely to differ. Indeed, this was our experience with the internet of the 1990s as the e-commerce setting began to flourish. Initially, disputes were not the focus of attention and avenues of redress were difficult to come by. Over time it became clear, that for e-commerce to evolve there needed to be trust by users, and for trust to be sustained, e-commerce platforms needed to institutionalize avenues for addressing and preventing disputes. These processes have come to be known as “online dispute resolution” (or ODR). The lessons learned from the evolution of ODR are slowly penetrating the blockchain arena, as some entities are developing ODR tools and processes that are tailored to this environment. At the same time, for ODR to be adopted and used, some of the underlying assumptions driving the design and adoption of blockchain technology need to be relaxed, as they are in tension with the tenets of dispute systems design: recognizing the inevitability of conflict, understanding trust as a human construct, and assigning weight to individual needs alongside group ideology. This article establishes its main theses in the following order. Part II provides background on the history and evolution of the blockchain, highlighting its dominant applications and its principal features. We discuss governance and trust on blockchain, finding that despite a rhetoric of disintermediation and distribution of power, there are still some players that enjoy more power than others in the blockchain setting. Furthermore, we highlight the governance choices that can shape the extent to which power is concentrated, accountability is established, and avenues of redress are available. In Part III we briefly discuss the history of ODR and describe the leading ODR schemes that have emerged for the blockchain setting, illuminating similarities and distinctions among them. Despite growing interest in ODR for blockchain, the use of these initiatives has yet to spread. We explore the various barriers that stand in the way of ODR for blockchain gaining momentum in Part IV.

Open access
Dispute Resolution and Class Actions
Law, AI, and Intellectual Property
Digital Transformation in Law
Original source
Jan 1, 2019¡DOAJ (DOAJ: Directory of Open Access Journals)
0 cites
Smart contracts: Revolution or hurdle?

Mihajlo Cvetković

The synergy between computer programs and contract law has generated considerable attention among legal scholars. Smart contracts were first theoretically described in 1996 but they came to life in 2009, with the development of cryptocurrencies. Relying on the papers published in the European Journal of Private Law, the author presents the problems and dilemmas arising from contract digitalization. Irrespective of whether smart contracts are perceived as a revolutionary change in contract law or just as a new mode of concluding and executing a contract, the automatic performance of a contractual obligation and the immutability of smart contracts profoundly affect the existing contractual practices. Traditional concepts such as contract formation, interpretation and inability to perform have acquired new meanings and functions. Online protection of contracting parties, consumers and the public order requires a regulatory reform but it is also essential to adapt technology to the intrinsic nature of legal transactions in order to meet juristic requirements. A smart contract is comparable to a vending machine: it is immutable and blockchain-based. The paper focuses on the most important types of smart contracts, their characteristics and application. Smart contracts lack artificial intelligence and their legal effects have been challenged. However, smart contracts have a great potential in terms of facilitating legal transactions and reducing the risk of contractual breach.

Open access
2 source records
Blockchain Technology Applications and Security
FinTech, Crowdfunding, Digital Finance
Digital Transformation in Law
Original source
Jan 1, 2019¡Inha Law Review The Institute of Legal Studies Inha University
1 cites
Legal Studies of Private Enforcement Accompanied by Smart Contracts

Changhee Kim

닉 사보는 1996년 계약이 컴퓨터에 의해 자동으로 이행되는 시스템을 구상하고 이를 스마트계약이라 불렀다. 이 구상은 2008년 나카모토 사토시가 비트코인이라는 암호화폐를 설계하면서 발명한 블록체인 기술과 결합하여 빛을 보기 시작했다. 수출업자는 수출대금을 보장받기 위해 은행이 발행한 신용장이 필요하고 토지 매수인은 대상 토지가 매도인의 소유임을 보장해주는 등기소가 필요하다. 하지만 이런 중개자의 존재가 주는 불이익도 적지 않다. 중개자는 모든 데이터를 자신이 관리하는 서버에 보관하므로 해킹에 취약하다. 은행도 파산할 수 있고 은행 직원이 배임행위를 할 수도 있다. 절차가 번잡하고 시간이 오래 걸린다. 중개자의 재량이 개입하여 거래 당사자들의 의사가 왜곡될 수 있다. 스마트계약은 이런 문제를 해결한다. 컴퓨터 시스템이 중개자의 역할을 대신하여 상대방의 신원과 자산 상태를 보장해주므로 믿을 수 없는 당사자들 사이에서도 거래가 가능해진다.BR 새로운 기술은 새로운 법률문제를 가져왔다. 예컨대, 컴퓨터에 의한 자동이행을 통하면 점포 임대인은 임대차계약 종료 시 소송절차와 강제집행절차를 거치지 않고 자동적•전자적 방법으로 임차인으로부터 점포 출입권을 박탈할 수 있다. 국가의 조력 없이 자력으로 강제집행이 가능하게 되는 셈이다. 이렇게 되면 계약 자유는 확대되겠지만 그 만큼 사회적 약자에 대한 보호는 소홀해진다. 이 연구는 스마트계약에 수반되는 자력 집행과 관련하여 발생하는 법적 문제를 검토하는 것을 목적으로 한다.BR 먼저 자력 집행의 허용성과 근거를 검토한다. 문명국가에서는 특별한 사정이 없는 한 자력 집행이 허용되지 않는다. 스마트계약에서는 사실상 자력 집행과 동일한 효과를 가져오는 자동이행이 허용되는지, 허용된다면 그 근거는 무엇인지 논의한다.BR 다음으로 위법한 자력 집행으로 생긴 부당한 결과의 제거방법에 관해 검토한다. 스마트계약의 작동이 시작되면 중단시킬 방법이 없고 원상회복을 명하는 판결이 확정되어도 이를 집행할 방법도 없다. 위법한 스마트계약으로 생긴 부당한 결과의 시정을 위해 국가가 어떤 수단을 마련해야 할지에 관해 논의한다.

2 source records
Dispute Resolution and Class Actions
Digital Transformation in Law
Law, AI, and Intellectual Property
Original source
Jan 1, 2019¡King s Law Journal
2 cites
Cryptocurrencies and Code Before the Courts

Vincent Ooi, Kian Peng Soh

In the rapidly developing cyber sphere dominated by cryptocurrencies and code, it is perhaps not uncommon for firms to focus on cutting-edge technological developments leaving the law behind as an ...

Open access
2 source records
Law, AI, and Intellectual Property
Blockchain Technology Applications and Security
Conflict of Laws and Jurisdiction
Original source
Jan 1, 2019¡LAW IN FUTURE: INTELLECTUAL PROPERTY, INNOVATION, INTERNET
1 cites
SMART CONTRACT IN THE FIELD OF INTELLECTUAL PROPERTY

MSU, Yulia Kharitonova

Digitalization of public relations allows right holders to achieve maximum protection of their rights and legitimate interests in the network. At the same time, platforms are being actively developed to meet the right holders and potential users who wish to use the results of intellectual property. In modern conditions, the development of technology blockchain network can provide not only the fixation of the protected object, but also the transfer of the exclusive right to it under the contract. The so-called smart contracts allow to carry out calculations and control the use of intellectual property under license agreements. At the same time, the gaps in legislation related, in particular, to the written form of contracts in the field of intellectual property have been identified.

Digital Transformation in Law
Security, Politics, and Digital Transformation
Law, AI, and Intellectual Property
Original source
Jan 1, 2019¡LUTPub (LUT University)
0 cites
Digitalizing the founding process of a limited liability company by using distributed ledger technologies : a case study of the Project Mercury and its profitability analysis

Mikko Mäenpää

The main objective of this case study is to illustrate how a limited liability company could be founded fully digitally based on Corda- and Hyperledger Indy-distributed ledger technologies (DLTs). The second objective of the thesis is to analyze the profitability and key risks of introducing this technology through a Monte Carlo-based investment analysis simulation. The results of the simulation are interpreted using summary statistics and visualized by the net present value (NPV), internal rate of return (IRR), and discounted payback period (DPP) distributions. Input-values for the simulation are gathered by interviewing the Project Mercury participants with semi-structured interviews. The third objective of this study is to identify and analyze future opportunities and applications for a digitalized company founding process based on the case study and investment analysis simulation.
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\nThe data for this research is gathered from Project Mercury which carried out a proof-of-concept on the possibility of this technology used in the founding process of an LLC. Project Mercury is a Finnish-based collaboration that consists of organizations from various fields that are currently involved in the founding process of a limited liability company. The development of distributed ledger technologies is in a relatively novel stage, and no evidence of DLT being applied to the founding process of a limited liability company prior to Project Mercury has been found.
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\nDistributed ledger technologies are inspired by blockchain technologies such as Bitcoin and Ethereum, but possess different features compared to blockchains, most notably, are not fully public networks as blockchains are. As an important part of the company's digitalization process, a new kind of decentralized self-sovereign digital identity (SSI) is generated for the newly founded company based on the distributed ledger technology. This new digital identity enables, for example, the company to digitally assign representation rights for its stakeholders. In addition to that, the digital identity and the data related to it is fully owned and controlled by the company.\t\t
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\nAt the beginning of the study, a review of key technologies was made, and key concepts, blockchain, and distributed ledger technology were defined since there are no established definitions for these technologies. In the literature review previous DLT applications are introduced since this was the first time DLT was applied in the founding process of an LLC. Methodology and data chapters form the following chapters four and five. The digitalized founding process of a limited liability company using DLT and self-sovereign identity is illustrated empirically in chapter six. The results of the simulation-based investment analysis are presented in chapter seven, and the value propositions of Project Mercury for different stakeholders are discussed at the end of the chapter.
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\nThe benefits of this digitalized founding process for different stakeholders are abundant. Founders and company stakeholders are able to found the company digitally by using their bank services without any manual paper-work. Digitalized representation rights can be given to company stakeholders to represent the company on various occasions. Organizations involved in the DLT based business network can securely share and receive information related to the company and its stakeholders in real-time. Financial institutions that are part of the business network acquire cost savings, time benefits, and new business opportunities. The most important business opportunity is to digitalize and tokenize the shares of unlisted companies. In Finland alone, this could turn approximately 200 billion worth of wealth into a more liquid form.
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\nThe Monte Carlo simulation indicates that Project Mercury as an investment will be profitable on average, but the distribution between the different scenarios is wide, which indicates the riskiness of the investment and the difficulty of accurately predicting the future cash flows associated with this investment. Investments in this technology were seen more as a research and development activity. It is essential to stay updated within the field, in order to remain competitive in the future.

Economic and Technological Systems Analysis
Advanced Research in Systems and Signal Processing
Law, AI, and Intellectual Property
Original source
Jan 1, 2019¡International Data Privacy Law
21 cites
Smart contracts as a form of solely automated processing under the GDPR

Michèle Finck

Whereas Article 22 of the General Data Protection Regulation (‘GDPR’) prohibits solely automated data processing, the precise scope of this qualified prohibition as well as related requirements remain untested and unclear. Examining Article 22 GDPR from the perspective of smart contracts sheds light on the resulting uncertainties and inconsistencies. Smart contracts indeed appear to qualify as a form of solely automated data processing under Article 22(1) GDPR. This implies that they can only be used where they meet the requirements of Article 22(2) and implement the safeguards of Article 22(3) GDPR. Under Article 22(2) GDPR, solely automated data processing can only be used where it (i) is necessary for a contract between the data subject and controller, (ii) authorized by EU or Member State law, or (iii) based on the data subject’s explicit consent. At first sight, these requirements can be met in the smart contract context just as in others. Yet, the research unveils that even where a smart contract is related to a legal contract, that contract may not be between the data subject and controller. Furthermore, consent may have limited value in this context as under EU data protection law, the data subject must be able to revoke consent, which is difficult where the data processing cannot be halted at the request of the data subject. Where the requirements of Article 22(2) GDPR are met, Article 22(3) requires that data controllers implement safeguarding measures including a right to human intervention by the controller. There are ongoing uncertainties and controversies regarding the scope of this obligation that also permeate the smart contract context. Yet, solutions are already being developed to create forms of smart contracts that may be responsive to these legal obligations, confirming the GDPR’s innovation-shaping function. In accordance with Article 22(1) of the General Data Protection Regulation (‘GDPR’) a data subject has the right ‘not to be subject to a decision based solely on automated processing, including profiling, which produces legal effects or or or At a where automated data processing is on the of the regarding the scope of this qualified prohibition and for the to subject to to the of the data of the Data Protection already that be as and that the of human intervention in indeed to a of human these the a prohibition of automated processing resulting in This by to in as Article of the Data Protection In the GDPR a and forms of solely automated processing, of they or In of for the data the precise of this remain as it in the prohibition of solely automated data processing has in law, in automated not solely forms of data are or are based on this which in data processing and has to be the as it and that are able to human from the perspective of and Smart which are the of the are form of 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on the with in the of the In the for a of the that automated processing of data not to to the scope of Article it that automated a scope and may with or from also a of solely automated as to by human decision is on automated processing where is human in the to and smart automated can be of as of value in which of the is by a human GDPR only solely automated data This the a smart contract can be qualified as a This is of the GDPR that may have it also in of as the precise to be to the at This is by the that Article 22 only to by solely automated data processing, that data have the right not to be subject to a which may a based on solely automated data of in the in the of the GDPR a of which to as the of the GDPR indeed only used the of in Article which only by the these to be be by the of have that a is or with legal a is or with this is indeed the in can be as Article 22 that can have legal effects or In the that that a can also be a that the to be of of the to a of GDPR as data or in to the and protection of data the At where a smart contract to that be a human in the be as a This be the where a smart contract is used in to on the of it is the of a smart contract to a or a appear that the that human is in where is by law, even of have the of under the of related of smart contracts may qualify as measures and be the of EU data protection has of by Article the of on the of as of solely automated human This smart contracts a that is by and by a This even be qualified as a smart contract a of the as or are to qualify as for GDPR it is to that smart contract the of a smart contract as a decision or may also the of may that the to the of the smart contract of a as a decision a or of a In with the of smart is human at the of that Article 22(1) to that the a and is of the that in the smart in be on the and of the smart a human as the the smart contract data to Furthermore, are also to human Where a smart contract is to a legal contract as a smart contract is used to of the be to Whereas this to to the of Article it is to be that Article 22(2) explicit from the Article 22(1) prohibition where a smart contract is used to a human in the of the contract to be for the of the first be for explicit to this in the the of Article 22 GDPR as a the that the for the of Article 22(1) is to be the of the which indeed human may that smart contracts are at in by Article 22(1) GDPR. a the qualified prohibition of automated data processing only where automated processing produces legal or effects on the data subject. This is the of the Article 22(1) that Under Article 22(1) GDPR, data are only not to be to based on automated processing the legal effects or is necessary to smart contracts can (i) legal or (ii) This is to be on a and be as the of where be effects on at smart contracts have for as they is are or for a or is has as a in legal or obligations, legal or under a a smart contract is used to a obligation a in legal and where a is or a or is the of and the of smart contracts have legal effects and as a be by Article where legal effects are a smart may a data subject. 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Yet, and are not by a legal that be as the controller. these are by the of a of including and and as to as the from the perspective of the Data Protection that smart contract can also be data controllers in Whereas the precise of the data has to be in light of a it to that at the as well as at the smart are under the GDPR. is to be that the the to the smart contract also be a these a in to the of Article is is as of on this it to that the of a with at of controllers be to this it is the of as Article that solely automated data processing may where it necessary for or a contract between the data subject and a data the of this at this it be to that solely automated processing only be used where are Yet, is can be on the of the of solely automated data processing in the that of a and automated the of be indeed as and are well in the of the the has that is not where and to the this that to be the by the by the it the in to processing that where of of for a this of may automated necessary as a first in the this is is a to be as the be even it of There regarding the scope of and can that is necessary in the of or Article GDPR Member or the EU to create to the prohibition of automated processing that data subject and are At this has at EU or Member State to solely automated data processing in to smart At the Member to related to may on Article GDPR for these of this in the that the requirements under Article 22(3) GDPR, not Article GDPR automated data processing where it is based on the data subject’s explicit consent. Where is the smart contract this can be in a as explicit consent be on the as the contract is can be in as forms of where is legal contract to the smart at in the it also be to consent in are in this the of consent, which is not in the has by the in on consent as necessary in that data protection that of data is consent a or on of the data subject. Where consent is in of the of data processing, the data subject of which the form of a or the in of form or Data controllers are to of of consent is a Article GDPR requires that the data subject has right to or consent at this may not the of processing based on consent that to this in the of automated data processing this is it may be difficult for a data subject to to the data processing in consent. In and in the of that data processing as data be by the controller, which to the of or data in that data controllers to on consent as a for data processing Article 22(2) a of to smart contracts under EU Where this is the requirements must be on automated processing under Article or safeguarding measures in the form of a right to human intervention Article 22(3) and a right to be and has that where automated processing a a Data Protection may be Article 22(3) that where automated processing is authorized on the of the first or of Article the data implement measures to the data and and at the right to human intervention on the of the controller, to or of and to the EU data protection only automated data processing where it is in is indeed based on a Article 22(1) only where processing solely automated the of human by of Article 22(3) processing can be solely automated Article 22(3) obligation that automated data processing can only under Article or where is of human intervention on of the and the data subject’s and are Whereas the precise of the are subject to the of human intervention is Data are of to not on the of human for solely automated data processing under the GDPR. this to smart is human at must it be and is the data in a to it is to human intervention must to the of the data protection has that human intervention must not just be the form of a by the and to the a of the including by the data that human intervention not just be is has that to by and even where is that it is even where a is as a human as a it may be used as the where the human or the the must the in human intervention There is to this that it is that human intervention the decision has in the of the as a of In the smart contract that the of the smart contract it has a this is as a is for the it to the for of human smart contracts are to with the GDPR to of automated as In to the of human intervention for the of Article 22(3) may be for smart contracts to a smart contract to human intervention in a as in or can be as the smart contract is a by In as to be from human this is for the of a smart contract a even a for human intervention are to as these may be with the to human must be to Article that the data human the of the data in of and and is to be that be a of controllers at and qualify as a controller. of human intervention must be by these or only of the is that Article GDPR and requires that controllers that the of that the data subject can This that controllers are to with the of human it that the is that data controllers have that the of be with to the of the Where solely automated processing the data subject is to this of data Where automated processing the data subject has a right to be this subject to Article GDPR requires that the data with and the processing of this to be in to automated data processing on the between and as well as GDPR. Article GDPR that a data subject is to be the of automated including profiling, to in Article 22(1) and at in the as well as the and the of processing for the data subject. Article GDPR the in where data not from the data is also by Article that of be to the data subject. the (i) of automated (ii) the and (iii) the and the of the to a to the right to as it is with in these that in of solely automated processing, a data subject from including the right of the decision and to the Whereas the can be difficult to as it is not by the of the GDPR and this by the may be as that to of the precise in which a decision is is to be by the data controller, that the of also in this context. There has as to the of the of in the and of in is in the of a is that of a are not are to the of the and can with the that they cannot be used for a of the the GDPR a of for in the have the of the of just they uncertainties have to as to are under the GDPR. may the GDPR a to that may protection to data the a has regarding the of the GDPR’s right to In a first and that the GDPR a to in of a a to of not in the General Data Protection that is only a right to in only as right for be the of right to be automated decision that the between and Article 22 from the that a right to for Article 22 this in the of from the a in with by and that and 22 be that they for Whereas protection may a data subject’s right to they that the of protection be to data protection and a to and that the on the right be a right to by or a right to used in that a data to be and the of right to as a where they have by the have the as to these to be In the the has on these that is of data controllers is that they (i) the data subject that they are in solely automated processing, (ii) the (iii) and the and to these the of data these data are as are the is for the and it is used to a decision the data appear to to in of the that is used is as to the data subject the or the on in the is is ‘not a of the used or of the the to the data subject be to the for the these are a in the is a of the to be that of or of the that in it is not In the to to the data subject the or the on in the This the of which the or measures a for the and the of these requirements in a smart contract context be that these on the data the as the of the obligation be Smart contracts in the form of data and the in processing is a that can be and is the between the right to and the to automated processing explicit consent under Article may of is in to for consent to be Where the of automated processing are not it may be consent cannot be This may in a where is under Article as a of the obligation to the data subject of of data This 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measures that data processing, the of a data subject to data processing and and by the controller. have for smart Article GDPR obligation for to this as well as the they on in a with the GDPR not just Article the requirements of data protection by and data protection by smart contract on a This is are in a that with of the GDPR it is difficult for to meet the data they are a of or to implement data subject as they to and they are to human In light of these on Article GDPR, which the of as to with the data protection by and data protection by requirements have to are the scope of Article GDPR as the has not on the and the is in a with these is as it is a the of for of the has that the GDPR’s prohibition of solely automated processing to smart Whereas on automated smart contracts can be where it is necessary in a is authorized by law, or where the data subject to the processing, and must be in a data protection This the of human the of regarding the of processing in a in smart contract must also be in a that for the data protection by and by with these requirements at in be with as This is in the context. these that they can be in of or this human intervention in the and of the data Smart contracts can be used as a to that Yet, as smart contracts are to to and legal these and they may also GDPR in to by including the a these not in from have and it is that on for and to the smart contracts on these There is ongoing to smart contracts in of with of the that can as a in the or that the automated that smart contracts not be the automated and the of is ongoing of with that the of smart contracts and automated in this are ongoing research and to smart contracts a in to to be used in This may to have effects on GDPR as they of human the of the to the with it can In a is human which is by the data subject and smart contracts of to a a of a the to a that is based on that of the and that of the of the and the and the Where a to the to the Where a that cannot be by the the to as these the requirements of Article 22(3) GDPR which to human Furthermore, are ongoing of to be smart At it of automated with where the smart contract forms of a that be is a of a related contract in the smart contract and the smart contracts or has a the contract, as by to of this smart be used to the smart in the of a or to legal contract be with and the smart contract that to and the and which the smart contract with human of are smart contract that can be used in are on

Open access
2 source records
European and International Contract Law
Law, AI, and Intellectual Property
Digitalization, Law, and Regulation
Original source
Jan 1, 2019¡Revija Kopaonicke skole prirodnog prava
23 cites
The enforceability of smart contracts

Mateja Đurović, Franciszek Lech

The development of new technologies has different effects on the existing law. Smart contracts are one of the forms of the new technologies that questions the application of the traditional contract law on commercial transactions using smart contracts. In that context, the enforceability of contractual transactions concluded in the form of smart contracts represent one of the major legal questions. Moreover, the question is whether the existing English contract law needs to be modified in order to secure the enforceability of smart contracts. These issues will be, accordingly examined in this paper with the aim to understand better the relationship of the traditional contract law, on the one side, and, smart contracts, on the other side.

Open access
European and International Contract Law
Law, AI, and Intellectual Property
Digital Transformation in Law
Original source
Jan 1, 2019¡Lecture notes in computer science
31 cites
A Unifying Model of Legal Smart Contracts

Jan Ladleif, Mathias Weske

No abstract is available for this record.

Blockchain Technology Applications and Security
FinTech, Crowdfunding, Digital Finance
Law, AI, and Intellectual Property
Original source
Jan 1, 2019¡SSRN Electronic Journal
29 cites
Smart Contracts: A Requiem

Eliza Mik

No abstract is available for this record.

Open access
Blockchain Technology Applications and Security
Digital Transformation in Law
Law, AI, and Intellectual Property
Original source
Dec 27, 2018¡Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society
133 cites
Regulating Artificial Intelligence

Olivia Johanna ErdĂŠlyi, Judy Goldsmith

Given the ubiquity of artificial intelligence (AI) in modern societies, it is clear that individuals, corporations, and countries will be grappling with the legal and ethical issues of its use. As global problems require global solutions, we propose the establishment of an international AI regulatory agency that --- drawing on interdisciplinary expertise --- could create a unified framework for the regulation of AI technologies and inform the development of AI policies around the world. We urge that such an organization be developed with all deliberate haste, as issues such as cryptocurrencies, personalized political ad hacking, autonomous vehicles and autonomous weaponized agents are already a reality, affecting international trade, politics, and war.

Open access
Ethics and Social Impacts of AI
Law, AI, and Intellectual Property
Original source