Conference topics

1. AI Strategies and Macroeconomic Models

  • AI and Economic Growth: Econometric Forecasting for Small States
  • KPI Models for Measuring the Economic Efficiency of AI Strategies
  • AI in Public Budget Management: “Algorithmic Budgeting” and Expenditure Optimization

2. Digital Sovereignty and Geo-economics

  • “Data Sovereignty” for Small States: Strategic Pathways out of Global Tech Dependency
  • Digital Diplomacy: The Role of Small Countries in International AI Alliances
  • Building a “Digital Hub” in the South Caucasus: Perspectives on Regional AI Cooperation

3. Finance, Banking, and AI

  • Predictive Analytics in Banking: Credit Scoring and Fraud Detection
  • Digital Currencies and Automation of Monetary Policy
  • Algorithmic Trading: AI Regulation in Financial Markets and Market Stability

4. Accounting, Auditing, and AI

  • Automation of Accounting Operations and Reduction of Human Error
  • AI-Based Auditing: Detecting Anomalies in Financial Reporting
  • Transformation of the Accounting Profession: Moving from “Data Entry” to “Strategic Data Analyst”
  • Monitoring Financial Health through AI

5. Marketing and Consumer Behavior

  • Hyper-personalization: Predicting Consumer Needs via AI
  • Neuromarketing and AI: Recognizing Consumer Emotions and Advertising Effectiveness Analysis
  • Predictive Customer Analytics: Managing Loyalty and Churn Risk
  • AI and Brand Ethics: Algorithmic Manipulation and Trust in Digital Advertising

6. Insurance Market and AI

  • Machine Learning Models in Insurance Risk Assessment
  • Big Data-Driven Personalized Insurance Products and Customer Loyalty
  • Increasing Efficiency in the Insurance Sector through AI

7. “Middle Corridor,” Transport, and Logistics

  • Digital Twin of the “Middle Corridor”: AI-Driven Freight Management
  • Route Optimization and Autonomous Transport Systems in Multimodal Shipping
  • “Smart Customs”: Automated Risk Analysis in Border-Crossing Processes

8. SMEs and Digital Transformation

  • Overcoming Financial and Human Resource Barriers in SME Transition to AI
  • Generative AI in E-commerce: Personalizing Customer Experience and Sales Projections
  • Return on Investment (ROI) Analysis of Digital Transformation in SMEs

9. Agriculture and Food Security

  • Forecasting Food Security under Climate Change Conditions
  • Optimizing Water and Resource Consumption in Agriculture via AI

10. Regional Development and “Smart Cities”

  • Economic Benefits of AI in Managing Urban and Rural Infrastructure
  • “Smart Infrastructure” and AI-Based Reconstruction Models in Liberated Territories
  • AI Applications in Solving Urbanization and Traffic Congestion Issues

11. Labor Market and Professions of the Future

  • “Human-AI Collaboration”: Changing Roles and Structural Unemployment Risks in the Labor Market
  • Platform Economy and Economic Regulation of Labor through AI
  • AI Analytics for “Upskilling” and “Reskilling” Needs of the Workforce

12. Higher Education and Scientific Research

  • AI-Based Personalized Learning Trajectories and Virtual Laboratories
  • Academic Integrity and Generative AI: Transformation of Scientific Research Methodology
  • AI Clusters and Innovation Centers in University-Industry Collaboration

13. AI Regulation and Algorithmic Transparency

  • Legal Personality of AI: Defining Ownership and Civil Liability Norms
  • The EU “AI Act” Model and Adaptation of National Legislation to International Standards
  • Algorithmic Bias in Economic Decision-Making and Legal Regulation of Ethical Barriers

14. Cybersecurity, Data Privacy, and Ethics

  • Economic and Legal Aspects of Data Privacy and Personal Data Protection
  • AI-Based Cyber Threats: Business Continuity and Defense of Digital Infrastructure
  • Ethics in the Digital Economy: AI and Principles of Social Justice

15. National Content, Language, and Cultural Values

  • Development of the Azerbaijani Language Corpus (LLM): Economic Necessity and National Sovereignty
  • Preserving National and Moral Values in Global Algorithms and Digital Content Strategy
  • “Open Data” and “Open Science” Policies in Forming a National AI Ecosystem