I-Corps: Robust and Explainable Artificial Intelligence (AI) Tools for Detecting Deepfakes — NSF Award to Purdue University (IN, $
The broader impact of this I-Corps project is the development of robust and explainable artificial intelligence (AI) tools for detecting deepfakes. Deep Fakes or AI-generated images, audio, and videos mimicking real people have emerged across various sectors, posing significant threats. The deepfake AI market is expect
| Award title | I-Corps: Robust and Explainable Artificial Intelligence (AI) Tools for Detecting Deepfakes |
|---|---|
| Award ID | 2448500 |
| Awardee | Purdue University |
| City | WEST LAFAYETTE |
| State | IN |
| Amount obligated | $50,000 |
| Principal investigator | Shu Hu |
| Program | I-Corps |
| Start date | 01/15/2025 |
| Abstract | The broader impact of this I-Corps project is the development of robust and explainable artificial intelligence (AI) tools for detecting deepfakes. Deep Fakes or AI-generated images, audio, and videos mimicking real people have emerged across various sectors, posing significant threats. The deepfake AI market is expected to undergo significant growth, rising from a value of $564 million in 2024 to an impressive $5,134 million by 2030. This technology is designed to meet the needs of industries h |
| Source | NSF Awards |
$799/mo
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