Model-Agnostic Detection of Bias (MAD-Bias)
This grant opportunity is for developing new methods to detect bias in datasets used for AI models, irrelevant of their architecture. It involves three phases:
Phase I: Propose new technology to address AI bias and provide a proof-of-concept (like a demo or open-source software). Deliverables include a progress report by Month 3 and a finalized technical report…
To develop new methods to detecting bias inherent in the datasets being used regardless of what the architecture of the downstream artificial intelligence (AI) model is.
Phase I
The goal of Phase I proposals is to present a new technology to address AI bias as described previou…
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