Imagine if Amazon Alexa could recommend a tub of ice cream or Siri could play a cheerful song if they hear sadness in your voice. AI voice recognition can now recognise emotions with very high accuracy. Yet it is not correct all the time, and this begs the question of how it make its decisions.

As COVID crept across the world, confining people to their homes and chaining them to their desks — for work, school, and play — Zhao Shengdong was no exception. Involved in class after online class, the associate professor at NUS Computing and his PhD student Ashwin Ram soon began to wonder: What can we do to enhance the online learning experience? Instead of a static setting, could people learn dynamically on-the-go instead? 

‘EPP’ is an acronym that rolls easily off the tongue, and is something that all first-year Computer Engineering undergraduates at NUS are intimately familiar with. Short for ‘Engineering Principles and Practice,’ EPP is a course that spans two semesters — the first focuses on electronics and hardware, while the latter has a software emphasis.

In recent years, some companies, including Amazon, JP Morgan, and Unilever, began asking prospective employees to do a curious thing — to film themselves answering a fixed set of questions. The firms would then run the videos through an AI-powered software, scanning faces and eye movements for signs of empathy, dependability, and other ‘desirable’ personality traits.