Human-in-the-Loop: Practical Lessons for Building Comprehensive AI Systems

Part of the series AI Guest Talks

AI systems often struggle with data limitations, changes in data distribution over time, and poor user experience. Human-in-the-loop design offers a solution by placing users at the centre of AI systems and using human feedback for continuous improvement. In this talk, Adrian Loy of Merantix Momentum dives deep into a large-scale automated rodent behaviour analysis tool. The system allows users to identify and annotate relevant segments within a large corpus of video data.