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NSF Solicitation for Mathematical Foundations of Artificial Intelligence Research

This opportunity is a research grant solicitation from the U.S. National Science Foundation (NSF) focused on advancing the mathematical and theoretical foundations of artificial intelligence (AI). - Government Buyer: - U.S. National Science Foundation (NSF) - Directorates involved: Mathematical and Physical Sciences (MPS), Computer and Information Science and Engineering (CISE), Engineering (ENG), Social, Behavioral and Economic Sciences (SBE) - OEMs and Vendors: - No specific OEMs or commercial vendors are mentioned; this is a grant for academic and research institutions - Products/Services Requested: - Interdisciplinary research proposals addressing foundational gaps in AI - Focus areas include: - Mathematically grounded design and analysis principles for AI - Understanding capabilities and limitations of AI systems (e.g., foundation models, generative models, deep learning, statistical learning, federated learning) - Rigorous validation approaches for machine learning algorithms - Development of reliable, interpretable, and socially responsible AI - Unique or Notable Requirements: - Proposals must involve interdisciplinary collaborations (mathematicians, statisticians, computer scientists, engineers, social/behavioral scientists) - Eligible applicants: U.S.-based non-profit, non-academic organizations and institutions of higher education - Total funding available: $8,500,000 - Individual awards range from $500,000 to $1,500,000

Description

The U.S. National Science Foundation is soliciting research proposals focused on the mathematical and theoretical foundations of artificial intelligence (AI). The research aims to address critical foundational gaps in AI by developing mathematically grounded design and analysis principles, understanding AI capabilities and limitations, and enabling reliable and interpretable AI systems. The solicitation encourages interdisciplinary collaborations among mathematicians, statisticians, computer scientists, engineers, and social and behavioral scientists. Funding is provided to support innovative approaches that ensure AI technology is sustainable, socially responsible, and trustworthy.

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