No matter how much data they learn, why do artificial intelligence (AI) models often miss the mark on human intent?
Reinforcement learning is well-suited for autonomous decision-making where supervised learning or unsupervised learning techniques alone can’t do the job Reinforcement learning has traditionally ...
Professor Junmo Kim and Ph.D. candidate Minchan Kwon, School of Electrical Engineering >No matter how much data they learn, why do Artificial ...
Artificial intelligence systems absorb values from their training data. The trouble is that values differ across cultures. So ...