The First Edition of the International Conference on AI-Infused Decision Support Systems (AI-DSS2026) provide a platform for the academicians/ researchers and policy makers to come up for exchange of research findings, analysis, information, and knowledge in areas which include but are not limited to:

I. Foundations of AI-infused Decision Support Systems

• Machine Learning and Deep Learning Algorithms for DSS
• Explainable AI and Interpretable Decision Models
• Knowledge Representation and Reasoning in DSS
• AI-driven Optimization and Heuristics
• Uncertainty Modeling and Fuzzy Logic in DSS

II. Intelligent Decision Support in Industry and Manufacturing

• Predictive Maintenance and Smart Manufacturing
• AI for Supply Chain Optimization
• Digital Twins and Industrial Automation
• Real-time Process Monitoring and Control
• Intelligent Quality Management Systems

III. AI in Healthcare Decision Support

• Clinical Decision Support Systems (CDSS)
• AI for Medical Diagnosis and Prognosis
• Personalized Medicine and Treatment Planning
• AI in Health Risk Assessment and Prediction
• Ethical and Legal Aspects in Healthcare AI

IV. AI-infused DSS in Business and Finance

• AI for Financial Forecasting and Portfolio Management
• Customer Behavior Analytics and CRM Systems
• Fraud Detection and Risk Management
• Intelligent Business Process Automation
• FinTech Decision Engines and Robo-Advisors

V. AI for Public Policy and Governance

• AI for Urban Planning and Smart Cities
• Decision Support for Emergency and Disaster Management
• E-Governance and AI in Public Service Delivery
• Policy Simulation and Impact Forecasting
• Ethical Governance of AI in Decision Systems

VI. AI in Environment and Sustainability Decisions

• Climate Modeling and Environmental Risk Assessment
• Smart Agriculture and Food Security DSS
• AI for Renewable Energy Management
• Water Resource and Waste Management Systems
• Biodiversity and Ecosystem Preservation Decisions

VII. Human-Centered and Cognitive Aspects of DSS

• Human-AI Collaboration and Co-Decision Making
• Cognitive Load and Usability in AI Systems
• Adaptive Interfaces and Recommender Systems
• Trust, Bias, and Fairness in AI Decisions
• Multimodal Interaction in Decision Environments

VIII. Emerging Technologies and Future of DSS

• Quantum AI and Next-gen Decision Models
• AI in Edge and Cloud-based Decision Platforms
• Blockchain and Secure DSS Architectures
• Augmented and Virtual Reality for Decision Support
• Metaverse and Immersive DSS Applications