Through the Looking-Glass: Three Ways Advancements in Artificial Intelligence Will Change Learning & Development
Article - Michael Chew, Hoe Wee Meng, Kelvin Tan
Artificial intelligence could soon transform learning by augmenting human empathy and judgement with rich, context-sensitive information.
Editorial - Alvin Pang
In this digital edition of ETHOS, we are reminded that in the age of machine learning, the vital work of government is still carried out not by automatons but by people—who deserve the support and nurturing necessary for them to give their best efforts. Featuring: Amos Law, Soh Zhi Liang, Khoo Ee Wan, Zoey Lew, Sueann Soon, Wu Wei Neng, and Kenneth Sim.