Call for Chapters: Mitigating Risk and Building Customer Trust Through Responsible AI Practices in Marketing

Editors

Ali Jaboob, Dhofar University, Oman
Nadia Atshan, Middle Technical University, Iraq
Ali Mohsin Ba Awain, University of Technology and Applied Sciences, Oman
Hasan Oudah Abdullah, Al-Farqadein University, Iraq

Call for Chapters

Proposals Submission Deadline: May 24, 2026
 Full Chapters Due: July 26, 2026
 Submission Date: July 26, 2026

Introduction

The development of the sphere of artificial intelligence has led to a proliferation of activity among professionals and scientists trying to control the development and address the multiple issues it raises in all aspects of science. The uncertainty regarding the vital problems of privacy and trust regarding the adoption of AI. Governments worldwide are striving to keep pace with the advancement of artificial intelligence and its associated threats, recognizing the seriousness of the matter at hand. All the same, AI is a huge data and information storage that subsequently transforms into knowledge. And here is the catch, the opportunity of criminal and immoral activity, when information and data are exposed to attack. The risk will therefore be enormous, and the trust will be broken and marred with fears. The charged terrain is the source of the proposed book, which is consistent with the ongoing trend of gathering diverse opinions and visions and, therefore, contributing to the knowledge field that pertains to the ethics of digital marketing. It is worth noting that the ethics of artificial intelligence is a very challenging subject that continues to be researched with intense scrutiny in view of the rapid rate of occurrences and the shocking developments that define our world today. The book serves to offer an extensive critique of the topic rely on the views and experiences of researchers, scholars, and practitioners. The readers can anticipate a clear, insightful, and comprehensive discussion of this crucial field.

Objective

The book tackles one of the most significant and complicated issues of modern-day marketing which has been the capability of utilizing the potential of artificial intelligences (AI) in digital marketing to address the issues linked to the contact of the organization with its consumers. The principle aim of this book is to evoke a widespread approach to thinking responsible AI marketing activities that rely on justified and sensible constructions and hypotheses. The book presents the concept of trust as a crucial and natural consequence that should be cultivated and the strategic deployment of AI to aid in expanding the business. The book is laid out around three axes of analysis, which are interrelated and analytically incorporated towards this overarching objective: Strategic Technological Change: This axis focuses on education on the way AI technologies are changing the marketing policy, the creation of decisions and their types, as well as competition. The book especially takes care of how AI will aid in data-driven personalization’s of marketing campaigns and customer experience to expand it. Any implication of AI-accelerated digital systems falling in this category is also linked to the augmented cross platform interplay and augmented digital orientation by the consumers. The dimension crystallizes the insights of the academic literature as well as the business world to provide a strategic outlook of the opportunities and changes brought about by AI to the marketing situation. Ethical Responsibility and Risk Management: The latter section covers the greatest risks and difficulties linked with the use of AI in the digital marketing sphere. It discusses the risks of relying on vast amount of consumer information causing problems of ethics of privacy and security. The reason behind the inclusion of this section as far as the critical analysis of the risks is concerned is to apply a multidisciplinary approach, which encompasses the lenses of ethics, law, information systems and organizational governance. This discussion can, therefore, lead to a greater insight into the ways organizations can proactively identify, evaluate, and reduce AI-related risks to reduce potential damage. Trust and Customer-Centric Value Creation: The course looks at the issue of trust as a cornerstone in the successful integration of AI in the contemporary marketing situations. The perceived fragility of algorithms and their approach to customer-facing content, and the existence of a gap between the actual experience and the one advertised make the module a key factor in the success or failure of the idea of including AI technologies into the contemporary mechanisms and tools of marketing. This domain looks at the procedures of designing AI-enhanced customer experiences, and how explainable AI helps to foster trust and transparency. Another theme that is learned in this module is the creation of an acceptable balance between automation and human control, as a new approach that can be adopted by the organization to guarantee they gain credibility and responsibility on their customer experience

Target Audience

The book targets academic scholars, researchers and professionals in the field of marketing and the role of Artificial intelligence in the digital era.

Recommended Topics

Digital Marketing: An Overview. Artificial Intelligence-Powered Digital Marketing and Ethical Considerations: Artificial Intelligence and Business Growth. Digital Marketing and Business Growth in the Digital Era. Artificial Intelligence Applications in Digital Marketing. The Attraction of AI-Based Social Media to the New Generation.. Trust in Digital Marketing through Artificial Intelligence Applications. Artificial Intelligence as Marketing Risk for Business Growth. Reducing Risks and Maximizing Benefits of Artificial Intelligence in Digital Marketing. AI-Augmented Customer Experiences, Building Trust. But not limited to.

Submission Procedure

Researchers and practitioners are invited to submit on or before May 24, 2026, 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 by June 7, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by July 26, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Mitigating Risk and Building Customer Trust Through Responsible AI Practices in Marketing. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing 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, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

May 24, 2026: Proposal Submission Deadline
June 7, 2026: Notification of Acceptance
July 26, 2026: Full Chapter Submission
August 30, 2026: Review Results Returned
September 27, 2026: Final Acceptance Notification
October 4, 2026: Final Chapter Submission

Inquiries

Ali Jaboob Dhofar University Ajaboob@du.edu.om Nadia Atshan Middle Technical University Nadia.atshan@mtu.edu.iq Ali Mohsin Ba Awain University of Technology and Applied Sciences Ali.BaAwain@utas.edu.om Hasan Oudah Abdullah Al-Farqadein University hasan.abdullah@uobasrah.edu.iq
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