CALL FOR BOOK CHAPTERS

Call for Book Chapters: Algorithmic Trust and Governance in Asia (will be published by Springer)

Edited by: Arif Perdana, Vijayakumar Bharathi, S., Ridoan Karim, Phoebe Li, Cheng-Yun Tsang

Description:

This edited book examines how algorithmic decision-making is governed across three high-impact domains in Asia: healthcare, education, and finance. It explores how automated systems influence fairness, accountability, transparency, and trust in contexts where decisions affect people's health, learning, and economic participation. The volume combines comparative legal analysis, policy mapping, and sectoral case studies to reveal how Asian jurisdictions, each with distinct governance traditions and socio-political priorities, manage algorithmic authority and institutional trust. It also situates these regional approaches within global frameworks such as the EU AI Act, OECD AI Principles, and UNESCO Recommendations on AI Ethics. By engaging with cultural, philosophical, and regulatory diversity, the book seeks to deepen understanding of how algorithmic governance in Asia can inform the global discourse on responsible and human-centric AI.

Indicative Topics

Healthcare: AI-driven diagnostics and medical devices; clinical safety, liability, and post-market oversight; privacy, consent, and data sovereignty; and evolving regulatory frameworks aligned with international standards.

Education: Adaptive learning and automated assessment; fairness, bias, and accessibility in student evaluation; governance of EdTech platforms and protection of child data; and comparative perspectives on national AI education strategies.

Finance: Algorithmic credit scoring and explainability; consumer protection, complaints, and risk governance; AI regulation and governance in digital finance and banking, AI and digital assets, CBDCs, financial inclusion; and mechanisms ensuring transparency and accountability in financial models.

Cross-Cutting Themes: Algorithmic impact assessment and human oversight; auditability, redress, and enforcement; cross-border data governance and regulatory collaboration; the role of 'human' in the loop, AI literacy and stakeholder engagement, and cultural or philosophical foundations of trust in algorithmic systems across Asia.

Who Should Contribute

We invite academics, policymakers, practitioners, and civil society experts from the fields of law, information systems, AI ethics, computer science, public policy, healthcare management, education, and finance to contribute chapters that are conceptual, theoretical, or empirical in nature.

Submission Guidelines

General Requirements

Originality: Submissions must be original, unpublished, and not under consideration elsewhere.
Length: Maximum 8,000 words, including references, appendices, tables, and figures.
Language and Spelling: Use British English consistently.
Referencing: Follow APA (7th edition) strictly and use reference management software (e.g., Zotero, EndNote, Mendeley). We strongly suggest including the article DOI if applicable.
Any use of AI tools in writing or editing this chapter must be clearly disclosed. AI may be used only for grammar and language checking, not for generating or writing substantial content.
Figures and Tables: Must be cited in the body text (e.g., Table 1 shows…, see Figure 2).
Provide high-resolution images (≥300 dpi) and editable tables.
Secure written permission for any copyrighted material.
Formatting: Microsoft Word (.docx), 12-point Times New Roman, 1.5-spaced, 2 cm margins.
Abstract and Keywords: Include an abstract of 150–200 words and 3–5 keywords.
Ethics and Funding: Disclose relevant funding, ethics approval, and conflicts of interest.

Recommended Structure

Chapters may adopt conceptual, doctrinal, comparative, or empirical approaches. Flexibility in structure is encouraged, provided the argumentation remains coherent. Suggested outlines include:

Empirical or Policy-Oriented Chapters

Title
Abstract and Keywords
Introduction (problem, rationale, and contribution)
Literature Review or Context
Methodology (legal, policy, or empirical design)
Findings and Discussion
Implications for Policy and Practice
Conclusion and Future Research
References (APA 7th)
Appendices (if applicable)

Conceptual or Theoretical Chapters

Title
Abstract and Keywords
Introduction (motivation, relevance, and contribution)
Theoretical or Philosophical Foundations
Framework or Model Development
Discussion (implications, limitations, and future research)
Conclusion
References (APA 7th)

Tentative Deadlines:

Full Chapter Submission: 31 March 2026
Notification of Acceptance: 1 May 2026
Reviewer Feedback: 31 May 2026
Revised Chapter Submission: 31 July 2026
Submission to Springer: 31 August 2026

All deadlines are tentative and may be adjusted to maintain thematic and regional balance across the volume.

Submission Process

Please send your abstracts and chapters to all three submission emails below:

Email subject: ATG-Asia Chapter Submission – [Lead Author Surname] – [Short Title]

File naming: ATGAsia_[LeadSurname]_[ShortTitle]_v1.docx

Include:

Cover page with author names, affiliations, ORCID (if available), and short bios (100–150 words each)

Review and Selection

All submissions undergo peer review. Evaluation criteria include:

Relevance to the volume's scope and themes
Originality and scholarly contribution
Methodological or conceptual rigour
Clarity, coherence, and adherence to submission guidelines

Rights and Permissions

Authors are responsible for citation accuracy and permissions for third-party materials. Publication will follow Springer's copyright and open-access policies.

Publisher

Springer

Editors

Assoc. Prof. Arif Perdana, Monash University
Prof. S. Vijayakumar Bharathi, Symbiosis Centre for Information Technology, Symbiosis International (Deemed University), India
Dr Ridoan Karim, Monash University
Prof. Phoebe Li, University of Sussex, United Kingdom
Assoc. Prof. Cheng-Yun Tsang, Monash University