The Greater Bay Area Institute for AI Applications Research (GBAI) is a non-profit research institution dedicated to research on artificial intelligence (AI) applications, focusing on safe and efficient AI applications across all levels of society and all sectors. Established in 2024, GBAI operates as an open global research platform to accelerate safe and efficient AI applications in three aspects, namely comprehensive AI applications research, talent development, and the dissemination and commercialization of research outcomes, thereby promoting human well-being.
Mission
Accelerate safe and efficient AI applications
Vision
Become a key driver powering AI applications
Values
First Principles, Courage & Innovation, Pursuit of Excellence, Longtermism, Openness & Inclusion, People-oriented
GBAI's research spans multiple areas, focusing mainly on AI + key industries, AI + macro themes and frontier AI technology. Each area incorporates various specialized subfields. GBAI is committed to exploring AI’s development and applications across various key sectors while addressing ethical, societal, and policy concerns to promote responsible AI development and industrial implementation.
Research on the integration of AI and key industries, including manufacturing, transportation, finance, education, healthcare, pan-Internet/entertainment, robotics/embodied intelligence, etc.
Perspectives on the integration of AI and industrial functions: R&D, manufacturing, marketing, etc.
From enterprise digitalization to enterprise intelligentization—how AI impacts corporate operations, management, decision-making and other business processes
Research on the Risks, Ethics and Governance of AI: privacy and data security, algorithmic bias, AI autonomy, legal risks of AI abuse, governance of AI risks, global governance and cooperation, etc.
Interdisciplinary research of AI and economics, sociology, etc.: AI's impact on employment, industrial structure, macroeconomics, social well-being, human behavior, energy and environment, national security, etc.
Research on the principles and frontiers of AI technology: development paths, frontiers and underlying logic as well as limitations and challenges of AI technology
Specialized research in areas such as data, computing power, chips, and hardware.
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Join leading teams to explore the unbounded potential of AI applications and drive industrial transformation.