When it comes to the future of artificial intelligence, the ultimate battle between man and machine may come to mind -- but that's really the stuff of science fiction. AI actually has a presence in our daily lives on a much more useful and less apocalyptic level. Think personal assistant devices and apps like Alexa, Cortana and Siri, web search predictions, movie suggestions on Netflix and self-driving cars. The term "artificial intelligence" was coined back in 1956. It describes a machine's ability to perform intelligent behavior such as decision-making or speech recognition.
As the automation of physical and knowledge work advances, many jobs will be redefined rather than eliminated--at least in the short term. The potential of artificial intelligence and advanced robotics to perform tasks once reserved for humans is no longer reserved for spectacular demonstrations by the likes of IBM's Watson, Rethink Robotics' Baxter, DeepMind, or Google's driverless car. Just head to an airport: automated check-in kiosks now dominate many airlines' ticketing areas. Pilots actively steer aircraft for just three to seven minutes of many flights, with autopilot guiding the rest of the journey. Passport-control processes at some airports can place more emphasis on scanning document bar codes than on observing incoming passengers.
While artificial intelligence is relatively new, it has become a part of the day to day life of many individuals. People in today's world don't think twice before they use digital assistants like Siri or Alexa. Uber has even introduced self-driving cars,which take artificial intelligence to a whole new level. So why are people pushing back so much when it comes to this revolutionarily helpful technology? But it's also going to change the world we live in for the better.
In the future, will artificial intelligence be so sophisticated that it will be able to tell when someone is trying to deceive it? A Carnegie Mellon University professor and his team is working on technology that could move this idea from the realm of science fiction to reality. Their work -- rooted in game theory and machine learning -- is part of a larger push for more advanced AI. As AI becomes more commonplace in the technology we use every day, detractors and supporters are becoming more vocal about its potential risks and benefits. For some, smarter AI sets up a dangerous precedent for a future too reliant on machines to make decisions about everything from medical diagnoses to the operation of self-driving cars.
In 2016, the White House recognized the importance of AI at its Frontiers Conference. The concept of driverless cars became a reality, with Uber's self-driving fleet in Pittsburgh and Tesla's new models equipped with the hardware for full autonomy. Google's DeepMind platform, AlphaGo, beat the world champion of the game--10 years ahead of predictions. "Increasing use of machine learning and knowledge-based modeling methods" are major trends to watch in 2017, said Marie desJardins, associate dean and professor of computer science at the University of Maryland, Baltimore County. How will this play out?