Research Project: Beyond black-box models: interaction in eXplainable Artificial Intelligence

ARC Discovery Project 2021 – Gleb Beliakov, Marek Gagolewski and Simon James from the maths team with colleague Enrique Herrera-Viedma from University of Granada. 

This project addresses a key issue in automated decision making: explaining how a decision was reached by a computer system to its users. Its aim is to progress towards a new generation of explainable decision models, which would match the performance of current black-box systems while at the same time allow for transparency and detailed interpretation of the underlying logic. This project expects to generate new knowledge in modelling interdependencies of decision criteria using recent advances in the theory of capacities. The expected outcomes are sophisticated but tractable models in which mutual dependencies of decision rules and criteria are treated explicitly and can be thoroughly evaluated.

See all funded 2021 ARC Discovery Projects at:

https://rms.arc.gov.au/RMS/Report/Download/Report/a3f6be6e-33f7-4fb5-98a6-7526aaa184cf/218



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