AI/Big Data Committee
The AI/Big Data Committee of KUICA serves as a platform for Korean and U.S. industry and government leaders to collaborate on artificial intelligence and big data technologies. The committee promotes networking and partnerships between companies, supports policy dialogue, and fosters innovation to deliver sustainable economic and social benefits to both nations.
The AI/Big Data Committee of the Korea-U.S. Industrial Cooperation Association (KUICA) provides a strategic platform for advancing bilateral cooperation in the rapidly evolving fields of artificial intelligence and big data. As these technologies reshape industries and societies worldwide, the committee enables stakeholders from both Korea and the United States to exchange insights, align policies, and explore real-world applications that drive innovation and competitiveness.
The committee plays a pivotal role in expanding networking and partnership opportunities between Korean and U.S. companies. It supports joint projects and collaborative initiatives in areas such as smart manufacturing, healthcare analytics, autonomous systems, cybersecurity, energy management, and digital finance. By highlighting best practices and success stories, the committee helps members address challenges such as data governance, ethics, and workforce transformation while unlocking new business opportunities.
Through continuous dialogue and knowledge sharing, the AI/Big Data Committee strengthens bilateral ties, promotes responsible innovation, and contributes to sustainable economic growth and societal progress in both nations.
Key Functions
Facilitate Policy Dialogue: Provide a platform for discussions on AI and data policy, standards, ethics, and regulatory frameworks.
Promote Industry Collaboration: Expand networking opportunities for Korean and U.S. companies to develop joint AI and big data projects.
Support Innovation Ecosystems: Encourage cross-border R&D partnerships in areas such as machine learning, generative AI, predictive analytics, and data security.
Showcase Best Practices: Highlight successful case studies, pilot projects, and lessons learned to accelerate adoption of AI and data-driven solutions.
Enhance Knowledge Sharing: Organize workshops, forums, and roundtables to keep members informed on technology trends, business models, and policy developments.
Advance Social Impact: Promote AI and data applications that enhance public services, healthcare, sustainability, and overall digital inclusion.
Companies & Organizations
