Project Grant 2522412
- 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...
- 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...
- 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 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 federal Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $334,794 to Michigan State University to investigate strategies for calibrating user trust in generative AI (GenAI) chatbots. The research aims to identify cognitive heuristics that lead users to overtrust GenAI systems and design methods to mitigate these unfounded judgments. The project will conduct focus groups and experiments to...
- This Project Grant award from the National Science Foundation's Social, Behavioral, and Economic Sciences (CFDA 47.075) program provides $422,035 to Syracuse University to investigate the impacts of generative artificial intelligence (AI) on the American workforce. The 5-year project, running from June 2025 to May 2030, will conduct three interconnected studies: A two-wave panel survey of 1,500 workers to analyze perceptions of how generative AI affects job quality, productivity, and skill...
- This Project Grant award of $215,549.00 from the National Science Foundation's (NSF) Social, Behavioral, and Economic Sciences (CFDA 47.075) program supports research into how universities are using and adapting AI systems, particularly for surveillance functions in areas such as learning management, campus safety, and research. The project, conducted by the University of North Carolina at Chapel Hill (UNC-CH), uses mixed methods to study the societal implications of AI systems in higher...
- This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA 47.070 - Computer and Information Science and Engineering) supports research into probing the inner workings of artificial intelligence (AI) systems and comparing them to human cognition during speech recognition. The $50,000 award to the University of Southern California (USC) will fund the development of novel mathematical models and experimental methods to examine how AI...
- This Project Grant award of $199,995 from the National Science Foundation's STEM Education program (CFDA 47.076) aims to develop a framework and computational tools to understand how students and teachers are engaging with generative AI tools such as ChatGPT in K-12 education. The key objectives are to collect social media data to identify topics, trends, and insights on the enthusiasm, concerns, and responsible/ethical use of AI tools by both students and teachers. The data analysis will...
- 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 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 people perceive the balance and transparency of such AI interview experiences. The research aims to develop validated metrics, statistical models, and explainable AI tools that enhance transparency and balance in AI-chatbot-based interview systems, ultimately contributing to a stronger workforce. The project also trains students in responsible AI and offers public outreach on the topic.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $219.2k | 7/28/25 |