Building a decision-augmentation platform to address global issues

This workshop aims to advance the creation of a collaborative platform and portal to tackle global decision-augmentation challenges, focusing on critical issues such as climate change, pandemic resilience, and food safety. As part of the ITU’s AI and Data Commons Project Resilience, the initiative seeks to establish robust standards, processes, and software that enable global teams to define project scopes, collaborate effectively, and integrate localized AI solutions into a unified system. This platform will act as a central hub for AI-based decision-augmentation models while encouraging the inclusion of diverse local AI contributions.

Main Topics:

1. Creating a centralized portal for project scope definition and solution sharing.
2. Developing and maintaining global standards to ensure seamless collaboration.
3. Leveraging AI to enhance responses to climate change, pandemics, and food safety challenges.
4. Promoting interdisciplinary collaboration to address global issues.

Target Audience:

• Policymakers and International Organizations: Interested in leveraging AI for global challenges.
• AI and Data Scientists: Focused on developing decision-augmentation models and systems.
• Technologists and Software Developers: Working on platform architecture, standards, and APIs.
• Academics and Researchers: Exploring the intersection of AI, resilience, and global challenges.
• Non-Governmental Organizations (NGOs): Collaborating on initiatives for sustainability and resilience.
• Industry Leaders and Startups: Innovating solutions for AI-driven global collaboration.