Regulatory aspects of artificial intelligence on blockchain:

"This book provides relevant legal and security frameworks and the latest empirical research findings in the area of blockchain and AI striving to identify and overcome the legal consequences of the application of Artificial Intelligence into the blockchain system"--

Gespeichert in:
Bibliographische Detailangaben
Weitere Verfasser: Pardis Moslemzadeh Tehrani 1983- (HerausgeberIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Hershey, Pennsylvania IGI Global [2022]
Schlagworte:
Online-Zugang:DE-1050
DE-898
DE-1049
DE-83
DE-91
DE-706
Volltext
Zusammenfassung:"This book provides relevant legal and security frameworks and the latest empirical research findings in the area of blockchain and AI striving to identify and overcome the legal consequences of the application of Artificial Intelligence into the blockchain system"--
Beschreibung:Includes bibliographical references and index
Section 1. Legal and regulatory framework of the blockchain. Chapter 1. The vulnerability of the blockchain network from the consensus perspective ; Chapter 2. A pragmatic regulatory framework for artificial intelligence ; Chapter 3. A contextual study of regulatory framework for blockchain ; Chapter 4. Legal and regulatory landscape of blockchain technology in various countries ; Chapter 5. Comparative review of the regulatory framework of cryptocurrency in selected jurisdictions ; Chapter 6. The legality of smart contracts in a decentralized autonomous organization (DAO) ; Chapter 7. Blockchain technology in China's digital economy: balancing regulation and innovation -- Section 2. Technical challenges of the blockchain in addressing regulatory framework. Chapter 8. Blockchain applications in the energy industry ; Chapter 9. Cryptocurrency and blockchain: the future of a global banking system ; Chapter 10. An analysis on the terms and conditions of the clickwrap agreement and the Benefits of maintaining the click wrap agreement in cloud computing ; Chapter 11. Bitcoin prediction using multi-layer perceptron regressor, PCA, and support vector regression (SVR): prediction using machine learning. - Mode of access: World Wide Web
Beschreibung:1 Online-Ressource (273 Seiten)
ISBN:9781799879299
DOI:10.4018/978-1-7998-7927-5

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