Accountable, Explainable Artificial Intelligence Incorporation Framework for a Real-Time Affective State Assessment Module

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Accountable, Explainable Artificial Intelligence Incorporation Framework for a Real-Time Affective State Assessment Module

The rapid growth of artificial intelligence (AI) and machine learning (ML) solutions has seen it adopted across various industries. However, the concern of ‘black-box’ approaches has led to an increase in the demand for high accuracy, transparency, accountability, and explainability in AI/ML approac...

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Bibliographic Details
Main Author:	Vice, Jordan Joshua
Format:	Thesis
Published:	Curtin University 2022
Online Access:	http://hdl.handle.net/20.500.11937/90847

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