Call for Chapters
Blockchain and Artificial Intelligence Solution to Enhance the Privacy in Digital Identity and Internet of Things
Taylor & Francis/CRC Press 2022

When Where
November 15, 2021 - March 15, 2022 Canada

Timeline

Events Date
Chapter Proposals Submission Deadline November 15, 2021
Full Chapters Due February 1, 2022
Author Notification March 1, 2022
Camera-ready and Copyright Due March 15, 2022

Introduction

Privacy plays a fundamental role in building citizen confidence in emerging technologies such as blockchain and artificial intelligence (AI). Personal data breaches, privacy and cyber security issues are a major source of mistrust in AI. On the one hand, governments around the world want to initiate a strategy to introduce AI in public organizations. On the other hand, blockchain technology is presented as a "trust machine" to secure AI, given its new approach to data security. Thus, this book will explore various areas in which blockchain and AI has an impact on privacy.

Objective

This book wishes to identify and pose the problems related to privacy in the areas of digital identity and connected objects. In fact, the increased use of IoT in our daily life and their impact on health, finance, and critical infrastructures requires the preservation of our privacy. Several researchers pointed out the blockchain as a potential solution to help address some of the IoT security and scalability challenges. Concretely, the book will address digital identity as a technological and legal vehicle for the protection of personal data. Moreover, the book will consider personal data that is collected via connected objects. The book will analyze security issues, taking into account the preservation of confidentiality, integrity and availability of data and information systems. Finally, the book will explore the application perspectives of blockchain in AI with the objective of bringing new perspectives on the opacity of AI, which is not able to justify, explain or interpret its decisions.

Target Audience

The book will help AI professionals, and IoT and personnel data managers to demystify the use of Explainable AI and Blockchain technology to resolve privacy issues. Governments and other organizations may use the outcomes of this book as a reference to make choices regarding IoT and privacy related strategies.

Recommended Topics

Contributors are welcome and solicited to submit their chapters on the topics of interest, include, but not are limited to, the following:

Submission Procedure

Researchers and practitioners are invited to submit on or before November 15, 2021, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by February 1, 2022, and all interested authors must consult the guidelines for manuscript submissions. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Publisher

This book is scheduled to be published by Taylor & Francis/CRC Press, an international academic publisher of the "Science & Technology" "Engineering," "Medicine & Healthcare," and "Humanities & Social Sciences" imprints. Taylor & Francis/CRC Press specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, Allied Health, Arts, Communication Studies, Computer & Information Sciences, Education, Ethics, Finance, Humanities and Social Sciences, Information Science, Law, Literature, Mathematics, Mining Engineering, Pharmaceutical Sciences, Philosophy, Physical Sciences, Public Health, Psychology, Psychiatry, Radiology, Science & Engineering, Science & Technology, and Statistics. For additional information regarding the publisher, please visit https://taylorandfrancis.com/. This publication is anticipated to be released in Winter 2022.

Inquiries

Fehmi Jaafar
Associate Professor at Quebec University at Chicoutimi, QC, Canada

Schallum Pierre
Institut intelligence et données of Laval University, QC, Canada

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