Application and Management of Artificial Intelligence and other innovations in FinTech

Submission Deadline: February 28th, 2027

Guest Editor:

Ireneusz Miciuła, PhD eng.

Assistant Professor in University of Szczecin, Szczecin, Poland

Research interests: Information System Management; IT Project Management; Economic Analysis; Information Technology; Financial Accounting; Financial Analysis; Business Analysis; Corporate Finance; Information and Communication Technology; Business Valuation, Decision Support Systems, IT innovations in business applications; Risk Management; FinTech;

Topic Scope

The rapid advancement of Artificial Intelligence (AI) and other digital innovations has fundamentally transformed the financial technology (FinTech) sector. AI-driven technologies such as machine learning, natural language processing, and predictive analytics are increasingly applied to enhance efficiency, accuracy, and decision-making across financial services. These applications support critical functions including fraud detection, credit scoring, algorithmic trading, personalized financial services, and risk management. Beyond AI, innovations such as blockchain, big data analytics, cloud computing, and robotic process automation have further strengthened the FinTech ecosystem by improving transparency, scalability, and operational resilience.

Effective application and management of AI in FinTech require not only technical expertise but also strong governance frameworks to address ethical considerations, data privacy, security, and regulatory compliance. As financial institutions adopt intelligent systems, managing these technologies strategically becomes essential to balance innovation with risk control. Consequently, the integration and management of AI and related innovations are key drivers of competitiveness, customer trust, and sustainable growth in the modern financial industry.

• Applications of Artificial Intelligence
• AI in Credit Assessment and Risk Management
• Algorithmic Trading and Automated Investment Decisions
• Personalization of Financial Services with Machine Learning
• Chatbots and Virtual Assistants in Customer Service
• The Use of Big Data and Predictive Analytics in FinTech
• Blockchain and Smart Contracts in Financial Systems
• AI-Based Data Management and Cybersecurity
• Ethical and Regulatory Challenges of Using AI in the Financial Sector
• Managing Technological Innovation in Financial Institutions
• Applications of Artificial Intelligence
• Integrating AI with Banking Systems (Legacy Systems)
• The Role of Cloud Computing in the Development of FinTech Solutions
• Business Process Automation
• The Impact of AI on Competitiveness and Business Models