Scout | Model-Agnostic Detection of Bias (MAD-Bias)

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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…

Source

Agency: Defense Advanced Research Projects Agency

Dates

Opportunity Released: January 29, 2025

Keywords

AI bias detection

de-biasing generative models

proof-of-concept AI solutions

AI model architecture

AI commercialization

government AI partnerships

scalable AI technologies

AI responsible adoption

Phase I feasibility study

Phase II prototype development.

Supporting Links

Documents

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