Designing AI That Matters: My Research Journey at the University of Waterloo
Source When people hear “Artificial Intelligence,” they often picture breakthrough algorithms or futuristic robots. In reality, designing AI that truly matters means building systems that solve real human problems, and doing it with purpose, ethics, and context in mind. My six-month research internship at the University of Waterloo’s Ubiquitous Health Technology Lab (UbiLab) was a deep dive into that reality. It wasn’t about chasing the latest AI trend, it was about engineering intelligence that works in the real world , under real constraints, for people who actually need it. AI in Service of a Bigger Mission The project aimed to improve independent living for seniors and people with health challenges. We developed an ambient activity recognition and behavioral anomaly detection system that could operate without cameras or microphones : protecting privacy while still providing actionable insights. This required: IoT Sensor Integration: Zigbee-based motion, door, ...