Scout | Addressing Underrepresentation Through Data Augmentation

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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…

Source

Agency: Defense Advanced Research Projects Agency

Dates

Opportunity Released: January 29, 2025

Keywords

AI bias

data augmentation

de-biasing technology

socio-ethno-political divides

artificial intelligence

proof-of-concept

commercialization

prototype development

government partnerships

dual-use technologies

Supporting Links

Documents

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