IN AMERICA, computers have been used to assist bail and sentencing decisions for years.
In “Machine learning of neural representations of suicide and emotion concepts identifies suicidal youth” (Just et al., 2017) describe their research in using artificial intelligence models to use brain imaging to predict who may be most likely to try to end their lives.
When an artificial intelligence-powered “swarm” correctly predicted the order of the top four finishers in last year’s Kentucky Derby, the surprising story got picked up around the world.
For the 2017 Derby, artificial intelligence learned the same lesson that has been beating up dyed-in-the-wool handicappers for over a century: horse racing is the most unpredictable sport on the planet, and the Kentucky Derby is the most unpredictable race in the sport.
It seems everyone is talking about the rise of artificial intelligence (AI). AI and its many forms — cognitive computing, machine learning, deep learning, analytics — seemed poised to take over the operations of every organizations from top to bottom.
In May 2016, a relatively unknown startup called Unanimous A.I. made big headlines when its AI-based platform used collective intelligence to create a prediction for the Kentucky Derby superfecta—the top four horses, in order of finish. It made exactly the right pick, which returned $541.10 on a $1 bet.
Artificial intelligence has gone from science-fiction fantasy to imminent component of the future in the space of just a few decades, with many of the fictitious genre’s predictions inching closer and closer to reality.
One such foreshadowing short story was Philip K. Dick’s The Minority Report, which was later made into a feature film directed by Steven Spielberg.