Of Bitcoins, Independently Wealthy Software, and the Zero-Member LLC

Bayern, Shawn

doi:10.2139/ssrn.2366197

Cited by 8 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Теоретические идеи Дан-Коэна получили дальнейшее развитие в XXI веке в связи с успешным развитием технологий. Реализуемый практически подход 13 14 15 продемонстрировал профессор Университета штата Флорида Шон Баверн (Shawn Bayern) в цикле статей посвященном автономным компаниям [5]. Баверн показал, что любой может присвоить статус юридического лица автономному компьютерному алгоритму путем передачи его под контроль компании с ограниченной ответственностью.…”

Section: развитие правовых основ применения систем искусственного инт...unclassified

Development of Autonomous Artificial Intelligence Systems for Corporate Management

Romanova

2023

Artificial Societies

View full text Add to dashboard Cite

The article discusses development of autonomous artificial intelligence systems for corporate management. The function of a corporate director is still one of the few that are legislated for execution by a “natural” rather than an “artificial” person. The main prerequisites for development of systems for full automation of management decisions made at the level of a board of directors are formed in the field of corporate law, machine learning, and compliance with the rules of non-discrimination, transparency, and accountability of decisions made and algorithms applied. The basic methodological approaches in terms of corporate law for the “autonomous director” have already been developed and do not get rejection among representatives of the legal sciences. However, there is an undeniable need for further extensive research in order to amend corporate law to effectively introduce “autonomous directors”. In practice, there are two main options of management decisions automation at the level of top management and a board of directors: digital command centers or automation of separate functions. Artificial intelligence systems will be subject to the same strict requirements for non-discrimination, transparency, and accountability as “natural” directors. At a certain stage, autonomous systems can be an effective tool for countries, regions, and companies with a shortage of human capital, equalizing or providing additional chances for such countries and companies to compete on the global market.

show abstract

Section: развитие правовых основ применения систем искусственного инт...unclassified

Development of Autonomous Artificial Intelligence Systems for Corporate Management

Romanova

2023

Artificial Societies

View full text Add to dashboard Cite

show abstract

“…In theory, anything can be deemed a "person" by statute including a lake, if the legislator so decides, as explained in the Introduction. Not surprisingly, there are proposals to give that status to some AI machines (Bayern 2014(Bayern , 1497. Some see such proposals as uncontroversial in the least because, after all, corporations and a number of other "creatures of the law" are "persons", a statement which, as a matter of positive law, is certainly accurate.…”

Section: An Interspecific Justice Horizonmentioning

confidence: 99%

Towards an effective transnational regulation of AI

Gervais

2021

AI & Soc

View full text Add to dashboard Cite

Law and the legal system through which law is effected are very powerful, yet the power of the law has always been limited by the laws of nature, upon which the law has now direct grip. Human law now faces an unprecedented challenge, the emergence of a second limit on its grip, a new “species” of intelligent agents (AI machines) that can perform cognitive tasks that until recently only humans could. What happens, as a matter of law, when another species interacts with us, can be integrated into human minds and bodies, makes “real-world” decisions—not through human proxies, but directly—and does all this “intelligently”, with what one could call autonomous agency or even a “mind” of its own? The article starts from the clear premise that control cannot be exercised directly on AI machines through human law. That control can only be effected through laws that apply to humans. This has several regulatory implications. The article’s first discusses what, in any attempt to regulate AI machines, the law can achieve. Having identified what the law can do, the article then canvases what the law should aim to achieve overall. The article encapsulate its analysis in a list of both doctrinal and normative principles that should underpin any regulation aimed at AI machines. Finally, the article compares three transnational options to implement the proposed regulatory approach.

show abstract

“…Introduced by Satoshi Nakamoto (a presumed pseudonym) in 2009, the first “open” virtual cryptocurrency entitled “Bitcoin” is not regulated by a central authoritative body (Nakamoto, 2008) and is, instead, based on an algorithm which features a decentralized peer-to-peer transaction system; its processes are designed, among other ideals, to reduce transaction costs that are created through third parties validating transactions (Dion, 2013, p. 166). Indeed, Bayern (2013) argues that users of Bitcoin need not even be human and, instead, may be independently autonomous computer-generated programs designed to transfer monetary funds.…”

Section: Bitcoin Basics: What Are They?mentioning

confidence: 99%

Tracking digital footprints: anonymity within the bitcoin system

Reynolds

Irwin

2017

JMLC

View full text Add to dashboard Cite

Purpose The purpose of this paper is to critically analyse research surrounding the anonymity of online transactions using Bitcoin and report on the feasibility of law enforcement bodies tracing illicit transactions back to a user’s real-life identity. Design/methodology/approach The design of this paper follows on from the approach taken by Reid and Harrigan (2013) in determining whether identifying information may be collated with external sources of data to identify individual users. In addition to conducting a detailed literature review surrounding the anonymity of users, and the potential ability to track transactions through the blockchain, four Bitcoin exchange services are examined to ascertain whether information provided at the sign-up stage is sufficiently verified and reliable. By doing so, this research tests the ability for law enforcement to reasonably rely upon this information when attempting to prosecute individuals. Additionally, by submitting fake information for verification, the plausibility of these services accepting fraudulent or illegitimate information is also tested. Findings It may be possible to identify and prosecute bad actors through the analysis of transaction histories by tracing them back to an interaction with a Bitcoin exchange. However, the compliance and implementation of anti-money laundering legislation and customer identification security standards are insufficiently used within some exchange services, resulting in more technologically adept, or well-funded, criminals being able to circumvent identification controls and continue to transact without revealing their identities. The introduction of and compliance with know-your customer and customer due diligence legislation is required before law enforcement bodies may be able to accurately rely on information provided to a Bitcoin exchange. This paper highlights the need for research to be undertaken to examine the ways in which criminals are circumventing identity controls and, consequently, financing their illicit activities. Originality/value By ascertaining the types of information submitted by users when exchanging real currency for virtual currency, and seeing whether this information may be accepted despite being fraudulent in nature, this paper elucidates the reliability of information that law enforcement bodies may be able to access when tracing transactions back to an individual actor.

show abstract

Of Bitcoins, Independently Wealthy Software, and the Zero-Member LLC

Cited by 8 publications

References 2 publications

Development of Autonomous Artificial Intelligence Systems for Corporate Management

Development of Autonomous Artificial Intelligence Systems for Corporate Management

Towards an effective transnational regulation of AI

Tracking digital footprints: anonymity within the bitcoin system

Contact Info

Product

Resources

About