Technology vs Ideology: How Far will Artificial Intelligence and Distributed Ledger Technology Transform Corporate Governance and Business?

Development of digital technology opens up new opportunities for corporate governance. At the same time, modern law faces a difficult task – to find a balance between creating conditions for development of technologies including by means of non-interference, and providing the stakeholders in corporate governance with proper legal guarantees. This paper considers the impact of some of the most significant digital technologies on corporate governance, such as distributed ledger technology, smart contracts and artificial intelligence. There are certain legal trends and challenges arising from such innovations including the pursuance of sociability, peer-to-peer and decentralization of corporate governance which in many cases is associated with abolishing of bodies (of a part of bodies) for a corporation management, or transferring their powers (a part of powers) to the corporation members and/or to a computer program (artificial intelligence, algorithm, smart contract). Besides, the paper considers occurrences of new subject of corporate relations – crypto-assets (tokens) holders as well as the possibility for recognition of the legal personality of computer programs, in particular, decentralized autonomous organizations and artificial intelligence.

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Prospective applications of new technologies and artificial intelligence for systematizing the results of intellectual activity

E3S Web of Conferences ◽

10.1051/e3sconf/202022403018 ◽

2020 ◽

Vol 224 ◽

pp. 03018

Author(s):

L Novoselova ◽

E Grin

Keyword(s):

Artificial Intelligence ◽

Intellectual Property ◽

New Technologies ◽

Intellectual Activity ◽

Distributed Ledger ◽

Distributed Ledger Technology ◽

Key Characteristics ◽

Legal Structures ◽

The Russian Federation ◽

Ministry Of Higher Education

The article addresses the prospects of using distributed ledger technologies – blockchain and artificial intelligence – for the purpose of systematizing the rights to the results of intellectual activity for their subsequent commercialization. The authors describe the key characteristics of the distributed ledger technology and review various legal problems pertaining to the use of blockchain technologies. The authors draw conclusions regarding the prospects of using blockchain and artificial intelligence technologies as measures for rapid prevention and elimination of intellectual rights violations. They also express their views on the process of commercializing intellectual property and reducing the number of conflicts related to the inclusion of intellectual property objects into distributed ledger systems. The article was prepared with the financial support of the Ministry of Higher Education and Science of the Russian Federation within the framework of the research “Scientific and methodological support for the development of theoretical and applied legal structures (models) of accounting and disposal of rights to the results of intellectual activity (technology transfer)

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On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda

IEEE Access ◽

10.1109/access.2020.2981447 ◽

2020 ◽

Vol 8 ◽

pp. 57075-57095 ◽

Cited By ~ 5

Author(s):

Konstantin D. Pandl ◽

Scott Thiebes ◽

Manuel Schmidt-Kraepelin ◽

Ali Sunyaev

Keyword(s):

Artificial Intelligence ◽

Scoping Review ◽

Research Agenda ◽

Future Research ◽

Future Research Agenda ◽

Distributed Ledger ◽

Distributed Ledger Technology

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Enabling Trustworthiness in Artificial Intelligence - A Detailed Discussion

Engineering International ◽

10.18034/ei.v3i2.519 ◽

2015 ◽

Vol 3 (2) ◽

pp. 105-114 ◽

Cited By ~ 2

Author(s):

Siddhartha Vadlamudi ◽

Keyword(s):

Artificial Intelligence ◽

Data Driven ◽

Future Research ◽

Specific Task ◽

Maximum Capacity ◽

Digital Devices ◽

Distributed Ledger ◽

Distributed Ledger Technology ◽

Set Up ◽

The Stability

Artificial intelligence (AI) delivers numerous chances to add to the prosperity of people and the stability of economies and society, yet besides, it adds up a variety of novel moral, legal, social, and innovative difficulties. Trustworthy AI (TAI) bases on the possibility that trust builds the establishment of various societies, economies, and sustainable turn of events, and that people, organizations, and societies can along these lines just at any point understand the maximum capacity of AI, if trust can be set up in its development, deployment, and use. The risks of unintended and negative outcomes related to AI are proportionately high, particularly at scale. Most AI is really artificial narrow intelligence, intended to achieve a specific task on previously curated information from a certain source. Since most AI models expand on correlations, predictions could fail to sum up to various populations or settings and might fuel existing disparities and biases. As the AI industry is amazingly imbalanced, and experts are as of now overpowered by other digital devices, there could be a little capacity to catch blunders. With this article, we aim to present the idea of TAI and its five essential standards (1) usefulness, (2) non-maleficence, (3) autonomy, (4) justice, and (5) logic. We further draw on these five standards to build up a data-driven analysis for TAI and present its application by portraying productive paths for future research, especially as to the distributed ledger technology-based acknowledgment of TAI.

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Trustworthy artificial intelligence

Electronic Markets ◽

10.1007/s12525-020-00441-4 ◽

2020 ◽

Author(s):

Scott Thiebes ◽

Sebastian Lins ◽

Ali Sunyaev

Keyword(s):

Artificial Intelligence ◽

Sustainable Development ◽

Data Driven ◽

Future Research ◽

Full Potential ◽

Research Framework ◽

Distributed Ledger ◽

Distributed Ledger Technology

Abstract Artificial intelligence (AI) brings forth many opportunities to contribute to the wellbeing of individuals and the advancement of economies and societies, but also a variety of novel ethical, legal, social, and technological challenges. Trustworthy AI (TAI) bases on the idea that trust builds the foundation of societies, economies, and sustainable development, and that individuals, organizations, and societies will therefore only ever be able to realize the full potential of AI, if trust can be established in its development, deployment, and use. With this article we aim to introduce the concept of TAI and its five foundational principles (1) beneficence, (2) non-maleficence, (3) autonomy, (4) justice, and (5) explicability. We further draw on these five principles to develop a data-driven research framework for TAI and demonstrate its utility by delineating fruitful avenues for future research, particularly with regard to the distributed ledger technology-based realization of TAI.

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The Future of Mobile Edge Computing

10.1007/978-3-030-83944-4_7 ◽

2021 ◽

pp. 81-105

Author(s):

Yan Zhang

Keyword(s):

Artificial Intelligence ◽

Edge Computing ◽

Security And Privacy ◽

Mobile Edge Computing ◽

Distributed Ledger ◽

Distributed Ledger Technology ◽

Service Efficiency ◽

The Future

AbstractThis chapter first introduces the fundamental principles of blockchain and the integration of blockchain and mobile edge computing (MEC). Blockchain is a distributed ledger technology with a few desirable security characteristics. The integration of blockchain and MEC can improve the security of current MEC systems and provide greater performance benefits in terms of better decentralization, security, privacy, and service efficiency. Then, the convergence of artificial intelligence (AI) and MEC is presented. A federated learning–empowered MEC architecture is introduced. To improve the performance of the proposed scheme, asynchronous federated learning is proposed. The integration of blockchain and federated learning is also presented to enhance the security and privacy of the federated learning–empowered MEC scheme. Finally, more MEC enabled applications are discussed.

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