Personalized Machine Learning: Towards Human-centered Machine Intelligence

Recent developments in AI and Machine Learning (ML) are revolutionizing traditional technologies for health and education by enabling more intelligent therapeutic and learning tools that can automatically perceive and predict user’s behavior (e.g. from videos) or health status from user’s past clinical data. To date, most of these tools still rely on traditional “on-size-fits-all” ML paradigm, rendering generic learning algorithms that, in most cases, are suboptimal on the individual level, mainly because o