Human-Machine Learning and Reasoning Lab

Our multi-disciplinary research group is specialised in the development and deployment of next-generation AI algorithms through the integration of learning, reasoning and human knowledge. In particular we are interested in the theory, implementations and real-world applications of AI algorithms which can:

• represent and incorporate human knowledge and their outcomes are explainable (Explainable and Trustworthy AI)
• learn accurately and efficiently from small data (Sustainable AI)

Most current AI approaches, including deep learning, face limitations in ‘knowledge transfer’ with humans. Incorporating existing human knowledge is also challenging, and the output knowledge is often not comprehensible to humans. Research in human–machine learning and reasoning, and more broadly in Human-Like Computing (also referred to as the Third Wave of AI), aims to equip machines with human-like perception, reasoning, and learning abilities to support collaboration and communication with human beings (Fig. 1).

We have applied our research in the areas of trustworthy autonomous systems, explainable and knowledge-driven AI for healthcare and biology, ecology and sustainability and agriculture.