Home Events AI-based Optimisation Seminar Series 24 Nov 2021

Date

24 Nov 2021

Time

AEST AUSTRALIA
4:00 pm - 5:00 pm

Cost

$0

AI-based Optimisation Seminar Series 24 Nov 2021

Speaker: Dr Alexey Ignatiev, Monash University

Logic-based explainable AI

Explainable artificial intelligence (XAI) represents arguably one of the most crucial challenges being faced by the area of AI these days. Although the majority of approaches to XAI are of heuristic nature, recent work proposed the use of abductive reasoning to computing provably correct explanations for machine learning (ML) predictions. The proposed rigorous approach was shown to be useful not only for computing trustable explanations but also for reasoning about explanations computed heuristically. It was also applied to uncover a close relationship between XAI and verification of ML models. This talk will overview the advances of the rigorous logic-based approach to XAI as well as the use of reasoning in devising interpretable rule-based ML models including decision trees, decision sets, and decision lists.

WED 24 NOV AUGUST 4PM – 5PM AEST

ZOOM Meeting ID: 873 1557 5255; Password: 778635

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Date

24 Nov 2021
OPTIMA

Advancing an industry-ready optimisation toolkit, while training a new generation of industry practitioners and over 120 young researchers, who will vanguard a highly skilled workforce of change agents for industrial transformation.

Monash University
Clayton, Victoria, 3080
Australia

University of Melbourne
Parkville, Victoria, 3010
Australia

© 2021 ARC Industrial Transformation Training Centre in Optimisation Technologies, Integrated Methodologies and Applications (OPTIMA)