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View all- Ramos HFonseca MPonciano L(2022)Modeling and Evaluating Personas with Software Explainability RequirementsHuman-Computer Interaction10.1007/978-3-030-92325-9_11(136-149)Online publication date: 1-Jan-2022
Explainability and accuracy of the machine learning algorithms usually laid on a trade-off relationship. Several algorithms such as deep-learning artificial neural networks have high accuracy but low explainability. Since there were only limited ways to ...
One frequent concern associated with the development of AI models is their perceived lack of transparency. Consequently, the AI academic community has been active in exploring mathematical approaches that can increase the explainability of models. ...
Recent studies have highlighted transparency and explainability as important quality requirements of AI systems. However, there are still relatively few case studies that describe the current state of ...
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