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"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"--
The convergence of Artificial Intelligence (AI) in blockchain creates one of the world’s most reliable technology-enabled decision-making systems that is virtually tamper-proof and provides solid insights and decisions. The integration of AI and Blockchain affects many aspects from food supply chain logistics and healthcare record sharing to media royalties and financial security. It is imperative that regulatory standards are emphasized in order to support positive outcomes from the integration of AI in blockchain technology. Regulatory Aspects of Artificial Intelligence on Blockchain provides relevant legal and security frameworks and the latest empirical research findings in blockchain and AI. Through the latest research and standards, the book identifies and offers solutions for overcoming legal consequences that pertain to the application of AI into the blockchain system, especially concerning the usage of smart contracts. The chapters, while investigating the legal and security issues associated with these applications, also include topics such as smart contacts, network vulnerability, cryptocurrency, machine learning, and more. This book is essential for technologists, security analysts, legal specialists, privacy and data security practitioners, IT consultants, standardization professionals, researchers, academicians, and students interested in blockchain and AI from a legal and security viewpoint.
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
""This book examines the legal issues and regulations surrounding digital data and how the law applies to online issues such as defamation, cyberbullying, scams, and data protection and privacy. It also explores the legal implications of technologies such as artificial intelligence and blockchain"--Provided by publisher"--
This book covers the growing convergence between Blockchain and Artificial Intelligence for Big Data, Multi-Agent systems, the Internet of Things and 5G technologies. Using real case studies and project outcomes, it illustrates the intricate details of blockchain in these real-life scenarios. The contributions from this volume bring a state-of-the-art assessment of these rapidly evolving trends in a creative way and provide a key resource for all those involved in the study and practice of AI and Blockchain.
Learn how to use AI and blockchain to build decentralized intelligent applications (DIApps) that overcome real-world challenges Key FeaturesUnderstand the fundamental concepts for converging artificial intelligence and blockchainApply your learnings to build apps using machine learning with Ethereum, IPFS, and MoiBitGet well-versed with the AI-blockchain ecosystem to develop your own DIAppsBook Description AI and blockchain are two emerging technologies catalyzing the pace of enterprise innovation. With this book, you’ll understand both technologies and converge them to solve real-world challenges. This AI blockchain book is divided into three sections. The first section covers the fundamentals of blockchain, AI, and affiliated technologies, where you’ll learn to differentiate between the various implementations of blockchains and AI with the help of examples. The second section takes you through domain-specific applications of AI and blockchain. You’ll understand the basics of decentralized databases and file systems and connect the dots between AI and blockchain before exploring products and solutions that use them together. You’ll then discover applications of AI techniques in crypto trading. In the third section, you’ll be introduced to the DIApp design pattern and compare it with the DApp design pattern. The book also highlights unique aspects of SDLC (software development lifecycle) when building a DIApp, shows you how to implement a sample contact tracing application, and delves into the future of AI with blockchain. By the end of this book, you’ll have developed the skills you need to converge AI and blockchain technologies to build smart solutions using the DIApp design pattern. What you will learnGet well-versed in blockchain basics and AI methodologiesUnderstand the significance of data collection and cleaning in AI modelingDiscover the application of analytics in cryptocurrency tradingGet to grips with open, permissioned, and private blockchainsExplore the DIApp design pattern and its merit in digital solutionsFind out how LSTM and ARIMA can be applied in crypto tradingUse the DIApp design pattern to build a sample contact tracing applicationGet started with building your own DIApps across various domainsWho this book is for This book is for blockchain and AI architects, developers, data scientists, data engineers, and evangelists who want to harness the power of artificial intelligence in blockchain applications. If you are looking for a blend of theoretical and practical use cases to understand how to implement smart cognitive insights into blockchain solutions, this book is what you need! Knowledge of machine learning and blockchain concepts is required.
The world is currently witnessing a change in the business paradigm in which economic, social, and environmental variables are taken into account. In this sense, sustainable companies focus on the development of a profitability formula that, through the connection with stakeholders and the natural environment, operates in harmony with social and economic progress. In this sense, the concept of corporate sustainability refers to the attempt by companies to balance social, economic, and environmental objectives. It requires a strong orientation towards the future as well as an awareness of the need to preserve the existence and well-being of the human species. In this way, companies seek to ensure long-term business success while contributing to the economic, social, and environmental development of the territories in which they operate. Corporate Sustainability as a Tool for Improving Economic, Social, and Environmental Performance provides a guide for study, reflection, and critique to understand corporate sustainability while offering the basis for comprehending this phenomenon in different sectors of the economy. The book also sheds light on the new currents and challenges of the discipline. Covering key topics such as big data, ethical business, and strategic management, this premier reference source is ideal for business owners, managers, entrepreneurs, government officials, policymakers, researchers, academicians, practitioners, scholars, instructors, and students.
This book presents innovative insights into the intersections between science, technology, and society, and particularly their regulation by the law. Departing from the idea that law and science have similar methods and objectives, the book deals with problems, and solutions, that source from these interactions: concerns on how to integrate scientific evidence into trials, how to best regulate new technologies, or whether technological innovations could improve democratic legitimacy, create new regulatory tools or even new spaces of regulation, and what is the impact on the society. The edited collection, by building on a functionalist and comparatist approach, offers answers to how to best integrate law, science, and technology in policy-making and reviews the current attempts made at the transnational and international levels. Case studies, ranging from emerging technologies via environmental protection to statistics, are complemented by a solid theoretical framework, all of which seek to provide readers with tools for critical thinking in the reassessment of the relationship among theory, practice, political goals, and international regulation.
An exploration of the current state of global trade law in the era of Big Data and AI. This title is also available as Open Access on Cambridge Core.
For the first time since the Great Depression, financial market issues threatened to derail global economic growth. This global financial crisis forced a reconsideration of systemic vulnerabilities with knowledge of numerous investment options and portfolio management strategies becoming more critical than ever before. A complete study of investment choices and portfolio management approaches in both the developing and developed worlds is required to achieve stability and sustainability. The Handbook of Research on Stock Market Investment Practices and Portfolio Management gives a thorough view on the recent developments in investment options and portfolio management strategies in global stock markets. Learning about the many investment options and portfolio management strategies available in the event of a worldwide catastrophe is critical. Covering topics such as AI-based technical analysis, marketing theory, and sharing economy, this major reference work is an excellent resource for investors, traders, economists, business leaders and executives, marketers, students and faculty of higher education, librarians, researchers, and academicians.