Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP200100040
Funding Status
Active
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Funded Activity Summary
Improving human reasoning with causal Bayes networks: a multimodal approach. This project aims to improve human causal and probabilistic reasoning about complex systems by taking a user-centric, multimodal, interactive approach. The project will explore new integrated visual and verbal ways of explaining a causal probabilistic model and its reasoning, to reduce known human reasoning difficulties, and investigate how to reduce cognitive load by prioritising the most useful user- and context-specific information. Expected outcomes include novel AI methods that empower users to drive the reasoning process and strengthen trust in the system’s reasoning. Performance will be assessed in medical and legal domains, with significant potential benefits to end users from better, more transparent reasoning and decision making.Funded Activity Details
Start Date: 12-2020
End Date: 11-2024
Funding Scheme: Discovery Projects
Funding Amount: $450,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Expert Systems | Decision Making | Artificial Intelligence and Image Processing | Natural Language Processing
