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Academics, policymakers, scholars, researchers, experts and practitioners focusing on applications of AI in economics and finance are invited to submit their contributions.
Dear Colleagues,
We kindly invite research proposals to our forthcoming editorial book project entitled “AI-Driven Decision-Making in Finance”.
The book intends to present a clear, timely, and technically sound plan for applying AI to enhance financial decision-making and AI-powered decision-making in areas such banking, payment systems, cryptocurrencies; machine learning and AI-driven financial modeling, decision intelligence as well as risk management in investment.
Digital transformation and artificial intelligence (AI) are revolutionizing the field of finance, reshaping how markets run, businesses operate and how decisions are made. At the core of this transformation is the integration of advanced technologies into traditional processes, allowing for greater efficiency and enhanced data analysis.
Financial institutions also leverage AI algorithms to process vast amounts of data in real-time, enabling them to make informed decisions, manage risks better, and optimize operations. These technological advancements not only improve transaction speeds but also enhance customer experiences through personalized services, predictive analytics, and automation of routine tasks.
This book explores the deep impact of AI and digital transformation on finance, its practice and decision intelligence processes. The book and its deep practical case studies present further insights regarding ways to effectively utilize AI’s potential, likely even beyond the existing theoretical and practical knowledge.
Our book aims to connect theoretical concepts with practical real-world applications and to provide solutions for strategic issues in AI and finance while using novel techniques in the competitive environment of the global financial system.
Suggested Topics (though not limited to)
The main sections of the book are emphasized below:
· Part I: Foundations (Intro, AI Overview, Digital Transformation)
· Part II: Applications (Banking, Payments, Investments, Crypto)
· Part III: Risks and Challenges (Security, Ethics, Regulation)
· Part IV: The Road Ahead (Trends, Policy, Future Opportunities)
Topics include (but not limited to) diving into advanced or speculative topics of:
· AI in Banking:
o Digital banking
o AI in Personalized Banking
o Internet Banking
o Web Banking
o App Banking
o Challenger Banks
o Neo Banks
· AI in Payment Systems:
o Payment Services
o Money Transfer
o Digital Wallets
o Credit scoring
o QR Code Payments
o Payment Gateways & Orchestration
· AI in Cryptocurrencies:
o Blockchain
o CBDC
o Tokenization
o DeFi - CeFi
o AI and data analytics
o Decision making in digital currencies
· AI in Investments:
o AI in Portfolio Management
o Sentiment analysis
o Neo-broker Platforms
o Algorithmic Trading
o Portfolio Management
o Stocks & ETFs
o Derivatives
o Commodities & Metals
o AI-based modelling
o Cognitive computing
o Decision intelligence and risk management in investments
· Security, Risks and Challenges:
o Disruptions to the Markets
o Systemic risk
o Trust
o Fairness
o Privacy
o Security
o Changing mindset
· Ethical implications of AI:
o Potential ethical dilemmas posed by AI
o Responsible innovation and ethical accountability
o AI ethics and bias mitigation
o Fair AI in finance
· Regulatory issues:
o AI regulations in Finance
o Data protection laws
o Anti-money laundering measures
o Technology and regulation interaction
o Elaborating on the role of regulation in AI and Finance,
· A future-focused concluding chapter:
o Potential future applications of AI in finance
o Future Trends and Strategic Implications
o Building Resilient, AI-Ready Financial Organizations
o Potential future applications of AI in finance
o What’s Next: A Practical Guide for Leaders
All highlighting generative AI, emerging regulations, and evolving global dynamics that could leave readers with actionable takeaways and a forward-looking perspective.
This list of topics above covers a range of topics within AI applied to finance. The content is of course not limited to the list.
A kind reminder that we’re especially keen to receive chapters focusing on and aim to position the book on risks, regulatory/compliance issues, and potential solutions.
The book also welcomes “AI in Action” case studies or more detailed real-world case studies. In-depth analyses of successful and unsuccessful AI implementations in various financial contexts.
Submit Your Proposals
Important days of this project are detailed below.
· Proposal Submission Deadline (abstract): July 31, 2025
· Notification of Acceptance: August 15, 2025
· Full Chapters Submissions: October 15, 2025
· Revisions / Review Results: October 30, 2025
· Final Submissions: November 30, 2025
· Anticipated Publication Date: End of 2025
Please provide the following points in your proposals/abstracts:
· Title of the contribution
· Name of author, co-authors, institution, email-address
· Content of the proposed chapter
· How the contribution fits into the book
All manuscripts must:
· be original and not under review elsewhere.
· be submitted in Microsoft® Word format.
· be typewritten in English (Proofreading is required for international scholars but native speakers)
· be written in objective third person point of view throughout (Use "the authors" or "the researchers" NOT "I" or "we")
· have up to 7,000 words (up to 30 pages) with Times New Roman-12 punto
· have references with APA formatting
· include at maximum 2-3 tables and 1-2 graphs
Reviewing Criteria: Submissions will be reviewed by the workshop organizers, a group of referees and selected based on the relevance and potential impact of AI applications in finance.
This is an English textbook and the most of our authors will not be native speakers. Therefore, publisher kindly demands a proofreading document from authors in addition to individual contract of copyright transfer.
The authors are responsible for timely delivery and any kind of obligatory contradictions from their contributions or materials provided in this project.
No submission or publication fee is required for the authors.
Please do not hesitate to get in touch, if you have any questions.
We look forward to working with the distinguished scholars, researchers, experts, practitioners and academics focusing on these topics.
An example chapter layout link
For inquiries:
Bilal Bağış, Assoc. Prof.
bbagis@fsm.edu.tr
PERPAL Lab, Department of Economics
FEAS, FSMVU
Publisher: CRC Press: Taylor & Francis Group
A leading publisher of scientific and technology books.
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