CALL FOR PAPERS
The International Conference on Applied Artificial Intelligence in Business and Economics (AAIBE-2026) is a premier global event that brings together scholars, industry professionals, researchers, and policymakers to exchange knowledge, share cutting-edge research, and explore the transformative power of artificial intelligence across business and economic domains. ICAAIBE-2026 aims to accelerate digital transformation by bridging the gap between AI innovation and its real-world applications in business processes and economic systems.
This conference provides a collaborative platform to discuss emerging technologies, tackle current challenges, and highlight how AI-driven insights and intelligent automation are revolutionizing strategic planning, operational efficiency, and decision-making in the modern economic landscape. Participants will gain insights into how businesses and economies can leverage AI for resilience, adaptability, and sustainable growth.
AAIBE-2026 welcomes original research papers, case studies, and thought leadership contributions from academics, practitioners, and industry experts. Whether your focus is on transforming financial analytics, optimizing supply chains, enhancing customer experience, or addressing ethical considerations in AI, this conference is designed to inspire dialogue, foster partnerships, and shape the future of AI in business and economics.
AAIBE-2026 invites original work from the following list of topics (but is not limited to):
1: AI in Economic Modeling and Forecasting
- AI for macroeconomic prediction and stability analysis
- Machine learning in GDP and inflation forecasting
- Deep learning applications in trade and investment modeling
- AI in time-series and panel data econometrics
- Forecasting business cycles using AI
- Real-time economic indicators via big data
- Sentiment analysis for economic policy impact
- Predictive modeling for economic crisis management
- Automated econometric model selection and optimization
- Hybrid models combining AI with traditional economics
- AI in labor market trend analysis
- Energy and resource economics using AI tools
- AI-based public finance and taxation modeling
- Use of reinforcement learning in economic games
- High-frequency data analytics in financial economics
2: AI in Financial Systems and Risk Analytics
- Algorithmic trading strategies with AI
- AI in credit risk modeling and scoring
- Machine learning in anti-money laundering (AML)
- Financial fraud detection using neural networks
- AI in insurance underwriting and claims processing
- AI-based stress testing in banking systems
- Blockchain and AI convergence in finance
- Financial sentiment analysis using NLP
- Real-time risk analytics for portfolio management
- AI in financial advisory and robo-advisors
- Predictive analytics for loan defaults
- AI in cryptocurrency markets and fintech innovation
- Risk mitigation through AI in capital markets
- Explainable AI in financial decision systems
- Behavioral finance and AI-driven insights
3: Intelligent Business Operations and Process Automation
- Robotic Process Automation (RPA) in finance and HR
- AI in supply chain and logistics optimization
- Predictive maintenance using AI and IoT
- Real-time inventory optimization using ML
- AI in business process reengineering
- Digital twins for operational efficiency
- Chatbots and intelligent agents in operations
- Process mining and AI for bottleneck detection
- Smart warehouse and logistics systems
- Demand forecasting and order fulfillment
- Intelligent ERP and CRM systems
- AI in production scheduling and quality control
- Workflow automation in customer service
- Intelligent document processing
- Cost reduction strategies through intelligent automation
4: AI in Marketing, Sales, and Consumer Insights
- AI in hyper-personalization of customer experiences
- Recommendation engines for e-commerce
- Customer journey mapping using AI
- Predictive modeling of customer lifetime value
- Chatbots and virtual assistants for sales support
- Sentiment analysis for brand perception
- Real-time marketing campaign optimization
- NLP for market trend detection
- AI in programmatic advertising and media buying
- Visual recognition for retail marketing
- Content generation using generative AI
- Social media listening and influence scoring
- Lead scoring and automated pipeline management
- Emotion AI for ad targeting
- Customer churn prediction and retention strategies
5: Human Capital and Organizational Transformation
- AI for talent acquisition and recruitment analytics
- Skill gap analysis and reskilling using AI
- AI-driven performance evaluation and management
- Workforce planning and predictive hiring
- Employee sentiment analysis
- AI in leadership development and succession planning
- Automation in HR operations
- Diversity, equity, and inclusion analytics
- AI for virtual collaboration and engagement
- Digital twins of the workforce
- AI in mental health and employee wellbeing programs
- Learning and development platforms powered by AI
- Adaptive training and microlearning using ML
- Organizational change modeling using AI
- Ethical and legal implications of AI in HR
6: Strategic Management and Corporate Governance with AI
- Strategic planning using AI and big data
- Competitive intelligence via AI analytics
- M&A deal analysis using AI tools
- Boardroom decision support systems
- Predictive governance and compliance monitoring
- AI in benchmarking and KPI optimization
- AI-driven SWOT and PESTLE analysis
- Scenario planning using simulation models
- AI for business model innovation
- Strategic portfolio management
- Predictive analysis of corporate performance
- AI for internal auditing and risk mitigation
- Role of AI in stakeholder engagement
- Crisis management strategies using AI
- Corporate social responsibility analysis using AI
7: AI in Sustainable Business and ESG Integration
- AI for real-time carbon footprint tracking
- Energy usage and efficiency optimization
- Waste management and circular economy modeling
- Predictive analytics for climate risk assessment
- ESG reporting automation
- Supply chain sustainability analysis
- AI in ethical sourcing and procurement
- Social impact analysis using NLP and AI
- Corporate sustainability scoring and benchmarking
- Green finance and AI-based investment modeling
- AI for sustainable agriculture and food systems
- Responsible consumption pattern analysis
- Environmental policy simulation using AI
- Smart urban planning and AI
- AI in biodiversity and conservation modeling
8: Policy, Ethics, and Regulation in AI-Powered Economies
- Algorithmic accountability and fairness
- AI policy development and governance models
- Ethical frameworks for AI in business
- Regulation of AI in financial and economic systems
- Privacy-preserving machine learning
- Transparency in AI decision-making
- Data ownership and consent in AI systems
- Cross-border AI regulatory harmonization
- Explainable AI in public services
- Risk frameworks for AI deployment
- Legal implications of autonomous decision-making
- AI and labor displacement policy
- Bias mitigation in business algorithms
- AI’s impact on taxation and public finance
- AI literacy for policymakers and executives
9: AI and Digital Transformation of Industries
- Industry 4.0 and smart manufacturing
- AI in retail and omnichannel commerce
- AI in agriculture and agribusiness
- Healthcare economics and AI-driven diagnostics
- AI in tourism and hospitality management
- Digital banking and AI in customer onboarding
- AI in transportation and logistics
- AI in legal tech and contract analysis
- EdTech and intelligent learning systems
- AI in telecommunications and 5G networks
- Media and entertainment personalization with AI
- Energy sector transformation using AI
- AI for public sector transformation
- AI adoption in small and medium enterprises (SMEs)
- Startups and entrepreneurship in AI-driven ecosystems
10: Education, Knowledge Systems, and AI in Business Schools
- AI in personalized learning and adaptive assessments
- ChatGPT and LLMs in classroom settings
- Business simulations powered by AI
- Curriculum design using AI analytics
- Intelligent tutoring systems
- Digital mentorship and coaching
- AI in knowledge management and archival systems
- Measuring learning outcomes using AI
- Predictive analytics for student performance
- AI in online program delivery and MOOCs
- Ethics of AI use in education
- Institutional strategy powered by AI tools
- Automation in academic research management
- AI for peer review and academic publishing
- Future of management education in the AI era
