Erich Zimmermann (Southampton, 2019) - AI for asthma attack detection/prediction.
Efficient machine learning against strategic human behaviours: To what extent selfish and strategic human behaviours can manipulate the overall system dynamics to their own benefit, and how we can protect the system from such behaviours.Collaborative human-agent learning: How a mixed team of human and agent members can utilise the complimentary knowledge and expertise of their members to develop efficient solutions for different optimisation problems in AI and machine learning.In particular, we look at the following problems: The main focus of the Human-Agent Learning (HAL) lab is to design adaptive and learning algorithms that work well in such presence of human factors in AI systems. These types of systems are known as human-aware AI in the literature. (e.g., disaster response teams consisting of human rescuers and autonomous unmanned vehicles). (e.g., digital personal assistants), or humans and AI team up together to jointly make decisions/execute actions As artificial intelligence (AI) systems are becoming ubiquitous in our everyday life, it is inevitable that they interact with humans during their operational process.įor example, many AI applications serve as an augmentation of human users by putting them at the centre of the system