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- W4233881498 abstract "As Artificial Intelligence technologies are increasingly used to make important decisions and perform autonomous tasks, providing explanations to allow users and stakeholders to understand the AI has become a ubiquitous concern. Recently, a number of open-source toolkits are making the growing collection of Explainable AI (XAI) techniques accessible for researchers and practitioners to incorporate explanation features in AI systems. This course is open to anyone interested in implementing, designing and researching on the topic, aiming to provide an overview on the technical and design methods for XAI, as well as hands-on experience with an XAI toolkit." @default.
- W4233881498 created "2022-05-12" @default.
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- W4233881498 date "2021-05-08" @default.
- W4233881498 modified "2023-10-14" @default.
- W4233881498 title "Introduction to Explainable AI" @default.
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- W4233881498 doi "https://doi.org/10.1145/3411763.3445016" @default.
- W4233881498 hasPublicationYear "2021" @default.
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