Project Grant 2513314
- This $280,050 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports a collaborative research effort at the University of Washington to develop technical and socio-technical interventions against AI-generated abuse. The research team will conduct in-depth analysis of the tools and ecosystem used to create abusive AI-generated content, such as nonconsensual synthetic media. Leveraging principles from psychology...
- The National Science Foundation (NSF) awarded a $151,693 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Florida International University (FIU) to conduct collaborative research on socio-technical interventions against AI-generated online abuse. The research team will analyze the ecosystem of tools used to create abuse material, leverage psychological principles to deter attackers, and develop technical forecasting to predict and stop future...
- The National Science Foundation (NSF) awarded a $542,462 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program to Georgetown University. The grant supports a collaborative research project titled "SATC: CORE: MEDIUM: Socio-Technical Interventions Against AI-Generated Abuse." The project aims to address the growing threat of using AI tools to distort images of individuals without their consent, which can be misused for...
- This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) Project Grant award of $200,000, effective July 1, 2024 through June 30, 2027, will fund research conducted by the University of Southern California (USC) to understand the evolution of hate language use in online communities. The project will analyze large social media datasets using advanced artificial intelligence (AI) techniques to identify factors influencing participation in...
- This Project Grant award, valued at $399,988 and provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports research at Arizona State University (ASU) aimed at understanding and addressing problematic online behaviors on social media that threaten users' mental health and well-being. The key research components include developing models for early detection of problematic behaviors, designing social media features...
- This Project Grant award, valued at $204,582.00, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The grant supports a collaborative research project led by The Pennsylvania State University (Penn State) that aims to leverage artificial intelligence (AI) technologies to cultivate constructive "upstander" behaviors among teenagers on social media to combat cyberbullying. The project will...
- The National Science Foundation (NSF) awarded a $599,656 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) federal grant program to The University of Tulsa to research and develop innovative approaches for detecting and protecting against online scams powered by generative artificial intelligence (GenAI). The key objectives of this 3-year project are to: 1) examine why some individuals are more susceptible to online scams and identify protective behaviors...
- This Project Grant award of $438,871.00 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) to The University of Tulsa. The project aims to address security and ethical challenges in AI-integrated crowdsourcing by: 1) Developing trustworthy human-AI collaborative annotation systems resistant to adversarial attacks, 2) Proposing detection strategies to identify misuse of generative AI in...
- The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to the University of South Carolina. The grant, with a period of performance from October 1, 2024 to September 30, 2027, focuses on enhancing security and mitigating harm in AI-generated vision language models. Key technical objectives include: 1) Developing a prompting framework for detecting harmful content provenance in AI-generated vision...
- This National Science Foundation project grant of $375,000 will fund the development of an Integrative Cyberinfrastructure for Online Abuse Research (ICOAR) from September 2022 through August 2025. The funding is provided through the NSF's Social, Behavioral, and Economic Sciences program (CFDA 47.075), which supports basic research and education in the social sciences. The award recipient, the Research Foundation for the State University of New York, will create a scalable and customizable...
This federal Project Grant award of $104,250.00, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, supports collaborative research to address the growing threat of AI-generated abuse against individuals. The research team is conducting technical and content analysis to characterize the ecosystem of tools used to create abuse material, leveraging psychological principles to deter attackers, and engaging in technical forecasting to predict and mitigate future attacks. The goal is to develop sociotechnical interventions that make abuse tools harder to access and use, and reduce attackers' inclination to employ these technologies. This 3-year research project, spanning from August 2025 to July 2028, is being led by the University of Colorado-Denver, a prominent public research university with extensive expertise in translational research and specialized scientific studies.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $104.3k | 7/25/25 |