Our increasingly technologically-mediated world continues to pose challenges for design. Considering these we suggest that the digital products and services that surround us are haunted by ‘ghosts in the machine’. These spectres bridge the physical with the digital, they broker competing...

Addressing catastrophic forgetting is one of the key challenges in continual learning where machine learning systems are trained with sequential or streaming tasks. Despite recent remarkable progress in state-of-the-art deep learning, deep neural networks (DNNs) are still plagued with the...

The key idea behind the unsupervised learning of disentangled representations is that real-world data is generated by a few explanatory factors of variation which can be recovered by unsupervised learning algorithms. In this paper, we provide a sober look at recent progress in the field and...