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  1. Finally, we discuss relevant trends in XAI as well as recommenda-tions for future work, all from the standpoint of our framework. The growing demand for explainable methods in artificial intelligence (a.k.a. eXplainable AI or XAI) has recently. *Equal contribution 1German Research Center for Artificial Intelligence (DFKI GmbH), Kaiserslautern ...

  2. 12 de jul. de 2023 · Aunque no hace mención que sea para xAI, se especula que tuvo que ver con esta propuesta. Para saber más detalles sobre la empresa y responder preguntas, habrá un Twitter Spaces el viernes 14 ...

  3. Explainable artificial intelligence (XAI) aims to provide a suite of machine learning techniques that enable human users to understand, appropriately trust, and produce more explainable models. Selecting an appropriate approach for building an XAI-enabled application requires a clear understanding of the core ideas within XAI and the associated programming frameworks.

  4. 28 de jul. de 2023 · Can a tech startup solve the fundamental questions of the universe? That’s billionaire tech executive Elon Musk’s latest idea as he pushes forth with yet ano...

  5. 17 de abr. de 2022 · Discussion: The developers compared GraphLIME with one of the first xAI methods for GNNs at the time, namely GNNExplainer, w.r.t. three criteria: (1) ability to detect useless features, (2) ability to decide whether the prediction is trustworthy, and (3) ability to identify the better model among two GNN classifiers.

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  7. 4 de mar. de 2021 · Explainable AI (XAI): A survey of recents methods, applications and frameworks. Deep learning applications have drawn a lot of attention since they have surpassed humans in many tasks such as image and speech recognition, and recommendation systems. However, these applications lack explainability and reliability.

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