Call for Chapters: Ethics at the Crossroads of AI, Big Data, and Neuroscience

Editors

Marcos Komodromos, University of Nicosia, Cyprus
Artemis Savvidou, Neapolis University Pafos, Cyprus
panikos symeou, Neapolis University Pafos, Cyprus
Andreas Masouras, Neapolis University Pafos, Cyprus

Call for Chapters

Proposals Submission Deadline: June 14, 2026
 Full Chapters Due: September 6, 2026
 Submission Date: September 6, 2026

Introduction

Artificial Intelligence (AI), Big Data analytics, and Neuroscience are rapidly transforming societies, economies, healthcare systems, educational institutions, and public governance. While these technologies offer unprecedented opportunities for innovation, human enhancement, and evidence-based decision-making, they also raise profound ethical, legal, and social challenges. Questions relating to privacy, autonomy, cognitive liberty, algorithmic bias, accountability, transparency, surveillance, and human rights have become increasingly pressing as technological capabilities continue to evolve. The convergence of AI, Big Data, and Neuroscience presents unique ethical dilemmas that transcend traditional disciplinary boundaries. Advances in neurotechnology, brain-computer interfaces, predictive analytics, and machine learning applications are reshaping the relationship between humans and technology, demanding new frameworks for governance and ethical oversight. As societies grapple with these developments, there is an urgent need for interdisciplinary dialogue that brings together scholars, researchers, policymakers, practitioners, and industry leaders. This edited volume seeks to explore the ethical implications of emerging technologies at the intersection of AI, Big Data, and Neuroscience, offering critical perspectives on the challenges and opportunities they present for individuals, organizations, and society.

Objective

1. Examine the ethical challenges arising from the convergence of AI, Big Data, and Neuroscience. Foster interdisciplinary dialogue among scholars from fields such as ethics, philosophy, law, communication, psychology, computer science, medicine, and public policy. 2. Explore emerging regulatory and governance frameworks designed to address ethical concerns in technological innovation. Investigate the societal implications of neurotechnologies, algorithmic decision-making systems, and large-scale data analytics. Contribute to the development of responsible innovation practices that balance technological progress with fundamental human values and rights. 3. Provide evidence-based insights and practical recommendations for researchers, policymakers, technology developers, healthcare professionals, educators, and organizational leaders. 4. Investigate the societal implications of neurotechnologies, algorithmic decision-making systems, and large-scale data analytics. 5. Contribute to the development of responsible innovation practices that balance technological progress with fundamental human values and rights. 6. Provide evidence-based insights and practical recommendations for researchers, policymakers, technology developers, healthcare professionals, educators, and organizational leaders.

Target Audience

1. Academics and researchers in ethics, philosophy, communication, law, neuroscience, psychology, computer science, and information systems. 2. Graduate and postgraduate students studying technology ethics, AI governance, digital transformation, and related fields. 3. Policymakers and regulators involved in technology governance, digital policy, and human rights protection. 4. Technology developers, data scientists, and AI practitioners seeking guidance on responsible innovation.

Recommended Topics

AI Ethics and Responsible Innovation Big Data Ethics and Data Governance Neuroscience and Neuroethics Brain-Computer Interfaces and Human Enhancement Cognitive Liberty and Mental Privacy Algorithmic Bias, Fairness, and Discrimination Transparency and Explainability in AI Systems Ethical Implications of Predictive Analytics AI and Human Rights Digital Surveillance and Social Control Privacy, Consent, and Data Protection Ethical Challenges in Healthcare AI Neurotechnology and Medical Ethics Autonomous Systems and Accountability AI Governance and Regulatory Frameworks Ethics of Generative AI and Large Language Models Ethical Decision-Making in Intelligent Systems Cybersecurity and Ethical Data Management Ethical Communication in the Age of AI AI, Democracy, and Public Trust Digital Inclusion and Technological Inequality AI and the Future of Work Educational Applications of AI and Ethics Neuroscience, Behavioural Prediction, and Social Manipulation Cross-Cultural Perspectives on Technology Ethics Philosophical Foundations of AI and Neuroethics Ethical Challenges in Smart Cities and Digital Societies Emerging Trends in AI, Big Data, and Neurotechnology Governance

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 September 6, 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, Ethics at the Crossroads of AI, Big Data, and Neuroscience. 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
September 6, 2026: Full Chapter Submission
October 18, 2026: Review Results Returned
November 15, 2026: Final Acceptance Notification
November 22, 2026: Final Chapter Submission

Inquiries

Marcos Komodromos University of Nicosia komodromos.m@gmail.com Artemis Savvidou Neapolis University Pafos artemiss@cytanet.com.cy panikos symeou Neapolis University Pafos symeou@sklaw-firm.com Andreas Masouras Neapolis University Pafos a.masouras@nup.ac.cy
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