About GSAI 2026

The Global Summit on Artificial Intelligence (GSAI) is a forward-looking international forum committed to harnessing intelligent technologies for a more sustainable and resilient world. More than a gathering of experts, GSAI serves as a catalyst for transformative ideas—where artificial intelligence converges with environmental science, material innovation, and ecological stewardship. Aligned with the theme “Advancing Sustainable Materials and Ecosystem Resilience,” the summit emphasizes the powerful role of AI in understanding and preserving complex natural systems. From decoding tropical wood anatomy to optimizing mangrove ecosystem functionality, GSAI explores how data-driven intelligence can unlock new pathways for environmental sustainability and climate resilience. The summit brings together a diverse global community of researchers, technologists, environmental scientists, and policymakers to exchange insights and co-create solutions. Through keynote sessions, research presentations, and collaborative discussions, participants gain practical knowledge on applying AI to real-world ecological and industrial challenges.

GSAI stands at the intersection of innovation and responsibility—championing ethical AI adoption while promoting interdisciplinary collaboration. By bridging technology with nature, the summit empowers a new generation of thinkers and leaders to design smarter materials, protect fragile ecosystems, and build a greener, more sustainable future for all.

GSAI is not just a summit—it is a global movement driving intelligent innovation toward a sustainable and resilient future

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Scientific Sessions

  • Explainable AI for High-Stakes Decision Making
  • Generative AI in Scientific Research and Publishing
  • AI-Driven Predictive Analytics in Healthcare Systems
  • Federated Learning for Privacy-Preserving Data Sharing
  • AI in Climate Modeling and Environmental Forecasting
  • Ethical AI Governance and Responsible Innovation
  • Autonomous Systems and Human-AI Collaboration
  • AI-Powered Drug Discovery and Precision Medicine
  • AI-Driven Climate-Resilient Infrastructure and Smart Cities
  • AI-Optimized Carbon Capture, Utilization, and Storage (CCUS) Technologies
  • AI-Enabled Circular Economy Models for Sustainable Development
  • Biodiversity Conservation Using AI and Remote Sensing
  • Smart Agriculture and Precision Farming Technologies
  • AI and Remote Sensing for Advanced Biodiversity Conservation
  • AI-Based Sustainable Water Resource Management Systems
  • AI-Accelerated Green Hydrogen Economy: Opportunities and Challenges
  • AI-Integrated Environmental Risk Assessment and Mitigation Strategies

Our Supporting Journals

Testimonials

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