Call for Chapters: Orchestrating Ethical Literacy for AI Tools in Higher Education: The RAPID Framework

Editors

Jitendra Pandey, Middle East College, Oman

Call for Chapters

Proposals Submission Deadline: June 14, 2026
 Full Chapters Due: August 16, 2026
 Submission Date: August 16, 2026

Introduction

The rapid proliferation of Generative Artificial Intelligence (GenAI) has catalyzed a paradigm shift in the global academic landscape. While these tools offer unprecedented opportunities for personalized learning and administrative efficiency, they also present complex ethical dilemmas concerning academic integrity, data privacy, and the preservation of human critical inquiry. This upcoming publication explores the RAPID Framework a multidimensional approach designed to orchestrate ethical literacy across higher education ecosystems. We define "orchestration" as the strategic alignment of technology, pedagogy, and policy to foster an environment where AI serves as a catalyst for human flourishing rather than a substitute for intellectual rigor.
Key Highlights for Prospective Authors:
1. The RAPID Pillars: Responsibility, Authenticity, Provenance, Integrity, and Design.
2. Target Themes: Implementation case studies, "Human-in-the-Loop" systems, AI-resilient assessment design, and institutional policy governance.
3. Mission: Bridging the gap between theoretical AI ethics and practical, scalable classroom solutions.

Objective

The primary objective of this book is to provide a comprehensive, actionable roadmap for educators, researchers, and institutional leaders to navigate the integration of AI tools into the curriculum while maintaining academic excellence. While current research often focuses on the risks or the purely technical capabilities of AI, this book shifts the focus toward a structured "orchestration" of these tools through the RAPID Framework.
Strategic Goals of the Publication
The book intends to accomplish the following objectives:
1. Bridging the Theory-Practice Gap: It aims to move beyond theoretical ethical discussions by providing scalable solutions and specific rubrics for the AI-integrated classroom.
2. Establishing "Human-in-the-Loop" Standards: The content will emphasize technology as a means to augment, rather than replace, human professional judgment and critical thought.
3. Defining AI Literacy as a Life Skill: The book will frame ethical AI usage not merely as a requirement for academic integrity, but as a fundamental competency for the modern workforce.
4. Institutional Transformation: It provides a blueprint for updating academic honor codes and creating transparent disclosure protocols for AI-assisted work.

Contribution to Current Research
This book further develops existing research by addressing several critical gaps in the current academic discourse:
Research Gap and contribution of "Orchestrating Ethical Literacy"
Binary Perspectives : Moves research away from the "ban or allow" debate toward a nuanced methodology of "orchestration".
Pedagogical Integration : Introduces the RAPID Framework (Responsibility, Authenticity, Provenance, Integrity, Design) as a specific structural tool for curriculum development.
Sustainability : Integrates the concept of "Digital Sobriety," focusing on the environmental and energy-related impacts of AI, which is often overlooked in ethical literacy.
Assessment Innovation : Offers research-backed strategies for creating "AI-resilient" assessments that focus on the inquiry process rather than just the final output.

By aligning digital sustainability with ethical literacy, this book positions AI literacy as a holistic discipline integrating energy optimization, ethical rigor, and human-centric design into a single pedagogical framework.

Target Audience

This publication is designed for a broad spectrum of stakeholders in the global academic and professional ecosystem, particularly those tasked with navigating the intersection of technology and pedagogy.
Primary Academic Audience
The research within this book will be of significant value to:
• Higher Education Faculty and Educators: Those seeking specific rubrics and pedagogical tools to move beyond the "ban or allow" binary and integrate AI into their curriculum.
• Institutional Leaders and Policy Makers: Administrators, Deans, and Academic Heads who require a blueprint for updating academic honor codes and institutional integrity policies.
• Curriculum Designers: Professionals focused on building "AI-resilient" or "AI-collaborative" assessments that prioritize the process of human inquiry.
• Educational Researchers: Scholars exploring Human-in-the-Loop (HITL) frameworks and the ethical implications of Large Language Models (LLMs) in research and writing.

Professional and Global Stakeholders
The broader impact of the RAPID Framework extends to:
1. EdTech Developers: Those interested in aligning AI tool development with "Design" and "Integrity" pillars to better serve academic environments.
2. Digital Sustainability Advocates: Stakeholders focused on the environmental costs of large-scale computation and the promotion of digital sobriety.
3. Students: Learners who will benefit from a framework that treats AI literacy as a fundamental life skill and a core competency for the modern workforce.
4. Global Academic Networks: International bodies (such as IEEE) focused on reliability, infocom technologies, and digital innovation in diverse geographical contexts.

Who Will Benefit Most?
While the text is multidisciplinary, it will most directly benefit Assistant Heads of Department, Program Managers, and Senior Faculty who are actively orchestrating digital transformation within their schools. These individuals will find the book's focus on "orchestration" harmonizing technology with existing professional judgment to be a critical resource for leadership in the AI era.

Recommended Topics

The following list outlines the key themes and recommended topics for chapter submissions:
The RAPID Framework in Practice
• Implementing Responsibility: Case studies on establishing clear accountability for educators and students in AI-assisted environments.
• Authenticity and Human-Centric AI: Strategies for maintaining the "Human-in-the-Loop" aspect to ensure technology augments rather than replaces critical thought.
• Provenance and Data Lineage: Developing rigorous standards for citing AI and tracking the origins of academic work.
• Integrity and Institutional Honor Codes: Aligning AI usage with ethical research standards and university-wide academic honesty policies.
• Collaborative Design: Practical approaches to building "AI-resilient" assessments that focus on the process of inquiry.

Pedagogical & Institutional Innovation
• Pedagogical Shifts: Moving beyond the "ban or allow" binary toward a structured orchestration of AI tools.
• AI-Collaborative Assessment Rubrics: Providing educators with specific tools to evaluate student work that has been assisted by Large Language Models (LLMs).
• Faculty Development: Workshops and training models for "Prompt Engineering" and AI-driven innovation sprints.
• Curriculum Integration: Methods for embedding AI literacy into First-Year Experience (FYE) courses and general education.

Ethics, Policy, & Sustainability
• Digital Sobriety and Sustainability: Strategies for reducing "digital pollution" and optimizing energy use within AI systems.
• Ethical Data Governance: Navigating privacy, intellectual property, and data lineage in the age of generative tools.
• Bias and Algorithmic Fairness: Teaching students to recognize and mitigate hallucinations and biases in AI outputs.
• Global Perspectives: Addressing the digital divide and ensuring equitable access to ethical AI literacy across different geographical and economic contexts.

Workforce & Future Readiness
• AI Literacy as a Life Skill: Framing ethical AI use as a fundamental competency for the modern, global workforce.
• The RAPID Revolution: Orchestrating AI-driven innovation for digital transformation in professional settings.

Submission Procedure

Researchers and practitioners are invited to submit on or before June 14, 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 28, 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 August 16, 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, Orchestrating Ethical Literacy for AI Tools in Higher Education: The RAPID Framework. 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

June 14, 2026: Proposal Submission Deadline
June 28, 2026: Notification of Acceptance
August 16, 2026: Full Chapter Submission
September 20, 2026: Review Results Returned
October 18, 2026: Final Acceptance Notification
October 25, 2026: Final Chapter Submission

Inquiries

Dr. Jitendra Pandey
Middle East College
jitenndra@gmail.com
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