AI and human intuition go hand in hand
AI and human intuition go hand in hand.
Give any respectable machine learning algorithm a concrete scenario to optimize and it will blow human-based heuristics out of the water. But we as humans should continue to focus on what we do best — thinking creatively, building empathy for other humans — in order to guide machines in the right directions.
A friend asks for recommendations of restaurants that are good for a romantic night out. If you’re like most people, you probably jumped to a few salient features — cozy atmosphere, fancy and non-messy food, and maybe bonus points for shareable desserts. Based on the perceived importance of each of these features, you then remembered a few restaurants that do well on each of these areas and formulated a recommendation.
The same friend asks a black box machine learning algorithm for date night recommendations. The machine ingests as many business attributes as it has access to — distance from the user, ratings, and price, among numerous others — and trains the features on all of the users who have ever searched for “date night.” It then spits out an ordered list of a couple hundred restaurants.