Artificial Tasks for Artificial Intelligence

Big Data => Big AI ?▪ Can we solve AI with current models with more data and morecomputing power ?Example▪ We can certainly improve (a lot) on many (well defined) tasks.▪ Training data will never cover the whole range of possible situations▪ It is always a proxy (Imagenet is a proxy for vision)▪ What happens when train/test distributions drift?How can we learn a conversational agent? The system must:• Adapt quickly to the context: target distribution evolves• Learn incrementally and build new knowledge from heterogeneous sources• Have a long-term structured memory