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Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work
The acceptance of AI systems depends on information about the system's functions and performance, privacy and ethical considerations, as well as goal-supporting information tailored to individual preferences and information to establish trust in the system.
Tensor networks for quantum machine learning
Once developed for quantum theory, tensor networks have been established as a successful machine learning paradigm.
SmoothLRP: Smoothing Explanations of Neural Network Decisions by Averaging over Stochastic Input Variations
With the excessive use of neural networks in safety critical domains the need for understandable explanations of their predictions is rising.
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