IUCRC Phase I Baylor University: Center for Responsible Artificial Intelligence and Governance (CRAIG)
- Institution
- Baylor University, TX
- Principal investigator
- Jean Gao
- Funding
- $511K
- Duration
- 2025–2030
Moonbase score
Still being scored
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, leverages its expertise in preventing AI errors and improving AI interpretability to strengthen CRAIGs research-based solutions. In combination with its research efforts, CRAIG educates and trains the next generation of responsible AI professionals. The Center provides students with research experiences, internships, “real world” mentors, and curricular innovations, and current employees with continuing and executive education, in the new and growing field of responsible AI. Baylor leverages its deep experience with training programs that prepare students and professionals in cybersecurity, healthcare, and business to help realize these educational aims. CRAIG’s research and educational pillars provide businesses and governments with the knowledge and workforce development approaches required to achieve safer and more trustworthy AI. Thus, the project contributes to the building of a more sustainable, prosperous, and secure AI economy. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Research team
- Jean GaoPI
- Liang Dong
- Chen Zhao
- Carlos I Torres Arias
- Xiao Shou
- Pablo Rivas
LOADING MOONBASE SCORE
Questions for Baylor University
Answered by the team behind this research.
No questions yet. Sign in to ask the first one
Related grants
Same researchers, same institution, same topic, scored first.
- NSF · Iowa State UniversityNot yet scored
Beginnings: Semiconductor Training by Experiential Learning, Leadership and Applied Research
Santosh K Pandey · $998K · 2025–2028
- NSF · Iowa State UniversityNot yet scored
NeTS: Small: (SRI)2: Software-defined STAR-RIS for Robust and Intelligent Internet of Things
Mohamed Y Selim · $200K · 2024–2027
- NSF · University of Texas at ArlingtonNot yet scored
EAGER: Integrating Pathological Image and Biomedical Text Data for Clinical Outcome Prediction
Junzhou Huang · $200K · 2024–2027