CAREER: Toward Interpretable AI: Modeling and Adapting Data-Driven Semantic Prototypes — NSF Award to Tulane University (LA, $418,
Artificial intelligence (AI) is increasingly used to support decisions in areas such as healthcare, transportation, and environmental monitoring, yet many systems operate as black boxes, making it difficult for people to understand how decisions are made or to assess their reliability. This lack of transparency can lea
| Award title | CAREER: Toward Interpretable AI: Modeling and Adapting Data-Driven Semantic Prototypes |
|---|---|
| Award ID | 2543694 |
| Awardee | Tulane University |
| City | NEW ORLEANS |
| State | LA |
| Amount obligated | $418,410 |
| Principal investigator | Zhengming Ding |
| Program | Info Integration & Informatics |
| Start date | 07/01/2026 |
| Abstract | Artificial intelligence (AI) is increasingly used to support decisions in areas such as healthcare, transportation, and environmental monitoring, yet many systems operate as black boxes, making it difficult for people to understand how decisions are made or to assess their reliability. This lack of transparency can lead to errors, reduce user confidence, and limit the safe and effective use of AI in situations where clear reasoning is essential. This project addresses these challenges by develop |
| Source | NSF Awards |
$799/mo
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