Addressing Underrepresentation Through Data Augmentation
This grant opportunity aims to create new data augmentation techniques to address AI bias related to socio-ethno-political divides. It consists of three phases:
Phase I: Applicants must present a new technology to tackle AI bias, demonstrating its potential through a proof-of-concept, like a live demo or publication. Deliverables include progress reports at thr…
To develop new data augmentation techniques that address the underrepresentation of concepts, including artificial intelligence (AI) disparities.
Phase I
The goal of Phase I proposals is to present a new technology to address AI bias as described previously. The technology need n…
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