IUCRC Phase I Baylor University: Center for Responsible Artificial Intelligence and Governance (CRAIG)

NSF Award Search · 01002526DB NSF RESEARCH & RELATED ACTIVIT · $510,814 · view on nsf.gov ↗

Abstract

The Center on Responsible AI and Governance (CRAIG) brings together leading academics, businesses, and government agencies to develop the knowledge and workforce required to pursue artificial intelligence that is safe, accurate, impartial, and accountable. Expert faculty from four universities (Ohio State, Baylor, Northeastern, and Rutgers) and disciplines ranging from computer science to law, business, and the social sciences, work with industry and government partners to identify the most pressing responsible AI challenges and develop scalable solutions and the workforce required to implement them. By advancing trustworthy and responsible AI, CRAIG increases the acceptance and adoption of AI, thereby promoting competitiveness and national security. CRAIG will generate practice-informed research and forward-looking workforce development. CRAIG project teams investigate core questions such as how to design more accurate and safe generative AI systems; which AI governance technologies and strategies best achieve social and business goals; how to audit deployed AI models; how to provide privacy and transparency in smart, sensed environments; and how to engage constructively with ethical challenges pertaining to AI. The research teams’ multiple disciplinary lenses enable them to perceive how technology, law, ethics, and business management interact with and impact one another, and so to generate fresh and practical insights and translational solutions. Baylor University, leve

Key facts

NSF award ID
2515265
Awardee
Baylor University (TX)
SAM.gov UEI
C6T9BYG5EYX5
PI
Jean Gao
Primary program
01002526DB NSF RESEARCH & RELATED ACTIVIT
All programs
ER2-Ethical and Responsible Research, INDUSTRY/UNIV COOP RES CENTERS
Estimated total
$510,814
Funds obligated
$208,545
Transaction type
Continuing Grant
Period
10/01/2025 → 09/30/2030