ARC Future Fellowships - Grant ID: FT230100426

Funding Activity

Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/FT230100426

Funding Status
Active

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Funded Activity Summary

Rethinking Topological Persistence. This project aims to address the lack of transferability and uncertainty-awareness in AI models. Despite their success, AI models are met with bias and uncertainty when deployed in the real world. As a result, they are rarely used in high-risk industries like cybersecurity or transport. This project expects to build uncertainty-awareness into models by teaching them to return UNKNOWN when they encounter a previously unseen thing, instead of misclassifying it. Further, the evaluation methods to be developed will not rely on access to test data, allowing cost-effective, private, and safe AI for high-stakes decision support. The outcomes will benefit Australia by accelerating economic investment and fostering greater social acceptance of AI.

Funded Activity Details

Start Date: 05-01-2024

End Date: 04-01-2028

Funding Scheme: ARC Future Fellowships

Funding Amount: $969,241.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Data mining and knowledge discovery | Data engineering and data science | Graph social and multimedia data | Data management and data science

ANZSRC Socio-Economic Objective (SEO)

Other Keywords

Data engineering and data science | Data management and data science | Data mining and knowledge discovery | Electronic Information Storage and Retrieval Services | Expanding Knowledge In the Information and Computing Sciences | Graph social and multimedia data

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