Welcome to
AIDMM 2027
2nd International Conference on
AI Decision-Making and Management
Venue
Hong Kong, China
Conference Dates
February19-21, 2026
Full Paper Submission Date
Feburary 13, 2027
Registration Deadline
Feburary 20, 2027
About AIDMM 2027
The 2nd International Conference on AI Decision-Making and Management (AIDMM 2027) will be held from February 19 to February 21, 2027, in Hong Kong, China.
As an influential international academic conference in this field, AIDMM 2027 will focus on in-depth discussions of cutting-edge research areas, including Artificial Intelligence Decision-Making and Intelligent Management. The conference aims to provide a high-level international exchange platform for experts, scholars, and industry professionals from around the world to share the latest research achievements, address key challenges, and explore future directions in artificial intelligence and management.
AIDMM 2027 will focus on the innovative applications of artificial intelligence technologies in management decision-making, promoting the integration of academic research and industrial practices. Through interdisciplinary collaboration and global knowledge exchange, the conference seeks to advance technological innovation and foster the sustainable development of intelligent management systems.
Submission & Publication
All accepted full papers will be published in AIDMM 2027 conference proceedings and will be submitted to Ei and Scopus for indexing.
Please send the full paper (Word+PDF) to Submission System.
📤︎Registration📤︎Submission System
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
The topics of interest for submission include,
But are not limited to:
📚︎Cutting-Edge Artificial Intelligence Technologies
Deep Learning and Neural Network Optimization; Reinforcement Learning and Adaptive Decision-Making Systems; Generative AI and Content Creation; Computer Vision and Image Understanding; Natural Language Processing and Conversational AI Systems; Multimodal Fusion and Cross-Modal Learning; Few-Shot Learning and Transfer Learning; Edge Computing and Distributed AI; Federated Learning and Privacy-Preserving AI; Quantum Machine Learning Algorithms; Neural-Symbolic Systems and Hybrid Intelligence; Self-Supervised Learning and Representation Learning; Continual Learning and Incremental Learning; Explainable AI (XAI) and Visual Analytics; AI System Robustness and Adversarial Defense; Automated Machine Learning (AutoML); Knowledge Graphs and Semantic Reasoning; Spatiotemporal Data Analytics and Forecasting; Bio-Inspired Computing and Neuromorphic Intelligence; Large-Scale Model Training and Optimization Techniques
📚︎IoT Technologies and Applications
Intelligent Supply Chain Management and Logistics Optimization; AI-Driven Financial Risk Management and Investment Decision-Making; Smart Manufacturing and Industry 4.0 Applications; Intelligent Healthcare and Health Management Systems; Smart Transportation and Urban Governance; Intelligent Energy Management and Optimization; Digital Marketing and Consumer Insights Analytics; AI-Enabled Human Resource Matching and Talent Assessment; Enterprise Digital Transformation Strategies; Intelligent Auditing and Financial Analytics; E-Government and Intelligent Public Service Systems; AI-Powered Education and Personalized Learning; Smart Agriculture and Precision Farming; Intelligent Retail and Autonomous Store Technologies; Intelligent Real Estate Evaluation and Market Forecasting; Smart Tourism and Recommendation Systems; AI-Generated Media Content Creation and Distribution; Intelligent Legal Document Analysis and Generation; AI Agents for Heritage Preservation Decision-Making; Intelligent Project Management Optimization
📚︎AI Ethics, Governance, and Future Trends
AI Ethics Frameworks and Value Alignment; Algorithmic Bias and Fairness Assessment; Data Privacy Protection and Regulatory Compliance; AI Accountability and Transparency; Human-AI Collaboration and Social Acceptance; AI's Impact on Employment and Workforce Transformation; Digital Divide and Social Inclusion; Military Applications of AI and International Security; Intellectual Property Protection Mechanisms for AI; AI Standards, Frameworks, and Certification Systems; Global AI Governance and International Collaboration Mechanisms; AI Regulatory Sandboxes and Innovation Governance; Sustainable AI Development and Green Computing; Development Pathways Toward Artificial General Intelligence (AGI); Superintelligence Risk Management and Prevention; Alignment Between AI and Human Values; Digital Sovereignty and Cross-Border Data Governance; AI's Psychological Impact and Social Behavioral Changes; Ethics and Governance in the Metaverse; Philosophical Reflections on AI in the Posthuman Era
If you have any questions or inquiries,
Please feel free to contact us.