Objectives, theme & sub‑themes
MAI‑CON‑2026 brings together researchers from computing, business, social science, health, and sustainability to examine how artificial intelligence is reshaping every discipline.
Conference Objectives
Interdisciplinary Research
Promote interdisciplinary AI research that connects methods and questions across fields.
Global Collaboration
Encourage collaboration with national and international institutions and research groups.
Research Dissemination
Provide a credible platform for the dissemination of original, peer‑reviewed research.
Industry Linkages
Strengthen industry‑academia linkages that translate research into practice.
Sub‑Themes & Tracks
Five tracks structure the conference program. Each maps to a broad disciplinary lens on artificial intelligence.
Computer Science & AI Foundations
- Machine Learning, Deep Learning & Generative AI
- Data Science, Big Data & Cloud Computing
- Natural Language Processing & Computer Vision
- Cybersecurity & AI Safety
- Intelligent Systems, Robotics & Smart Technologies
Management Sciences & Business Applications
- AI in Strategic Decision‑Making
- Digital Transformation & Innovation Management
- AI in Finance, Marketing, HR & Operations
- Entrepreneurship & AI‑driven Startups
- Business Intelligence & Enterprise Analytics
Social Sciences & Human Impact
- AI and Society: Opportunities & Risks
- Digital Divide, Accessibility & Inclusion
- Behavioral Impacts of AI Adoption
- AI in Education, Governance & Public Policy
- Responsible & Ethical AI for Social Good
Medical Health & Well‑Being
- AI in Cognitive Neuroscience & Mental Health Diagnostics
- AI‑assisted Therapy, Tele‑Psychology & Predictive Care
- Human‑AI Emotional Bonds: Ethical & Psychological Implications
- Digital Well‑Being & Emotional AI
- AI for Healthcare Systems & Predictive Health Management
- Healthcare Systems & Psychological Well‑being
- Health Innovation & Psychological Well‑being
Environmental Sustainability & Tourism
- AI for Smart Cities, Urban Planning & Sustainable Tourism
- AI for Climate Action, Environmental Monitoring & Disaster Management
- Green Computing & Energy‑efficient AI Solutions
- AI‑driven Eco‑Tourism & Resource Optimization
- AI for Biodiversity, Conservation & Sustainable Development
Note: the sub‑themes above are indicative and not limited to these topics. Authors are encouraged to submit research across any related multidisciplinary area of Artificial Intelligence.