Although it is very unlikely that machines will exhibit broadly-applicable intelligence comparable to or exceeding that of humans in the next 30 years (strong AI), it is to be expected that machines will reach and exceed human performance on more and more applied tasks. To develop the positive aspects of AI, manage its risks and challenges, and ensure that everyone has the opportunity to help in building an AI-enhanced society and to participate in its benefits, in this project, human intelligence and machine learning (ML) take the centre stage: Interactive Machine Learning (IML) is the design and implementation of algorithms and intelligent user interface frameworks that facilitate ML with the help of human interaction. Our focus is to improve the interaction between humans and machines, by leveraging state-of-the-art humancomputer interaction (HCI) approaches, as well as solutions that involve state-of-the-art ML techniques. In this project, we focus on Interactive Deep Learning (IDL): deep learning (DL) approaches for IML. We want computers to learn from humans by interacting with them in natural language for example and by observing them.