Project Grant 2522411
- This federal Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $219,152 to the University of Florida to study and improve how artificial intelligence (AI) chatbots evaluate job candidates. The 2-year project, running from September 1, 2025 to August 31, 2027, investigates how AI interview systems may produce different outcomes based on individual characteristics, even when qualifications are equal, and explores how...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $649,388 to Iowa State University to investigate the impact of AI chatbots on student performance and assessment validity in online exams. The research aims to better understand how cognitive offloading with AI affects learning outcomes, with the goal of informing effective educational practices in the age of AI. The project includes workshops for educators and...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $400,000 in funding to The Trustees of Princeton University to build new online tools that enable large-scale experiments on human-AI interactions. The goal is to develop a platform that allows scientists across disciplines to study how AI and humans can effectively work together in hybrid societies. The key products and services delivered under this award...
- This National Science Foundation (NSF) Project Grant award under the Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $267,443 to the University of Houston System to conduct a mixed-methods ethnographic study examining how the design choices of conversation designers and user experience (UX) professionals influence human-AI interactions. The 3-year project (10/1/2025 - 9/30/2028) involves fieldwork with AI development teams to understand how they define usability, how...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) provides $399,998 to Cornell University to develop new online tools that enable large-scale behavioral experiments studying interactions between humans and artificial intelligence (AI) agents. The key products and services to be delivered under this 3-year award, which begins on September 1, 2025, are: New tools integrated into existing behavioral research platforms...
- This $174,995 Project Grant awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program supports research to understand and optimize the role of human intelligence in data integration and discovery pipelines, especially in the context of emerging large language models (LLMs) like ChatGPT. The project will investigate fundamental questions about human involvement in these data processes, uncover relevant human biases, and...
- This $111,984 Project Grant award from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program will support a collaborative research project focused on mapping the state of AI ethics education across diverse higher education institutions in the United States. The project aims to: (a) comprehensively survey current and planned AI ethics education interventions, (b) develop a framework to understand how faculty perceive and conceptualize AI ethics...
- The National Science Foundation awarded a $110,000 Project Grant under the Social, Behavioral, and Economic Sciences (CFDA 47.075) program to Purdue University. The grant, titled "Collaborative Research: How AI Labor Research Influences Stakeholder Beliefs and Regulatory Preferences," examines how exposure to scholarly forecasts about the impact of artificial intelligence (AI) on labor markets shapes the perceptions, decision preferences, and intended behaviors of U.S. workers,...
- This federal Project Grant award, provided by the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program, supports a research project examining how exposure to scholarly forecasts about the impact of artificial intelligence (AI) on labor markets shapes perceptions, decision preferences, and intended behaviors among U.S. workers, business managers, and regulatory decision makers. The $100,000 award to Virginia Commonwealth University, with a project period...
- This $348,757 Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, will be used by the University of Texas at Austin (UT Austin) to define and measure the social and emotional understanding capabilities of large language models (LLMs) in artificial intelligence (AI). The project aims to develop rigorous frameworks for assessing how well AI systems, such as chatbots, can understand and reason about...
This Project Grant award for $180,678 from the National Science Foundation's Social, Behavioral, and Economic Sciences program (CFDA 47.075) supports research to study and improve the use of artificial intelligence (AI) chatbots for job candidate interviews. The research team from William Marsh Rice University in Houston, TX aims to analyze AI interview systems to understand how they may produce different outcomes based on individual characteristics, even when qualifications are equal. The project will develop validated metrics, statistical models, and explainable AI tools to enhance transparency and balance in AI-based job interview systems. Key products include outreach through public forums and interactive dashboards to help human resource professionals better utilize AI tools in hiring practices. The research trains students in responsible AI and contributes to building a stronger, more equitable workforce through ethical AI hiring practices. The award period runs from September 1, 2025 to August 31, 2027.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $180.7k | 7/28/25 |