Artificial intelligence can be classified into two main types: narrow AI, which is designed to perform a narrow task (such as facial recognition or internet searches), and artificial general intelligence (AGI), which is an AI system with generalized human cognitive abilities so that it can outper...
XAI refers to methods and techniques in the application of artificial intelligence (AI) such that the results of the solution can be understood by humans. It contrasts with the concept of the "black box" in machine learning where even its designers cannot explain why an AI arrived at a speci...
论文:《Explanation in artificial intelligence: Insights from the social sciences》 Abstract 1. Introduction 1.1 Scope 1.2 Major findings 1.3 Outline 1.4 Example 论文:《Explanation in artificial intelligence: Insights from the social sciences》 看的时候随手记的笔记,有不理解的地方可以提出一起讨论一下呀!
Artificial intelligence (AI) can be trained to recognize whether a tissue image contains a tumor. However, exactly how it makes its decision has remained a mystery until now. A team from the Research Center for Protein Diagnostics (PRODI) at Ruhr-Universität Bochum is developing a new approac...
As artificial intelligence (AI) systems and behavior models in military simulations become increasingly complex, it has been difficult for users to understand the activities of computer-controlled entities. Prototype explanation systems have been added to simulators, but designers have not heeded the less...
In Proc. AAAI Conference on Artificial Intelligence, Vol. 32 (2018). Zhang, Y., Song, K., Sun, Y., Tan, S. & Udell, M. “Why should you trust my explanation?” Understanding uncertainty in LIME explanations. Preprint at arXiv https://doi.org/10.48550/arXiv.1904.12991 (2019). ...
Thanks to the exponential growth in computing power and vast amounts of data, artificial intelligence (AI) has witnessed remarkable developments in recent
Examples of artificial intelligence-based reasoning explanation are described. In an example implementation, a knowledge model having a plurality of ontologies and a plurality of inferencing rules is generated. Once the knowledge model is generated, based on a real-world problem, a knowledge model ...
the dialogue between them ensures that an explanation is tailored to the understanding of the other person. The dialogue partner asks questions for further explanation or can express incomprehension which is then resolved. In the case of artificial intelligence there are limitations to this because of...
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