People in all walks of life are rightly concerned about advancing automation: Unless we find as many tasks to give humans as we find to take away from them, all the social and psychological ills of joblessness will grow, from economic recession to youth unemployment to individual crises of identity.
The idea of artificial intelligence – job – killing robots, self – driving cars, and self – managing organizations – captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it’s not quite so complicated?
“Artificial intelligence is transforming all sectors of the economy, but there’s no reason to fear that robots will replace all human employees. In fact, companies that automate their operations mainly to cut their workforces will see only short-term productivity gains, say the authors. Their research, involving 1,500 firms in a
In recent years, machines have grown increasingly capable of listening, communicating, and learning – transforming the way they collaborate with us, and significantly impacting our economy, health, and daily routines. Who, or what, are these thinking machines? As we teach them to become more sophisticated, how will they complement our
Join this year’s Turing Prize winner Yann LeCun and other pioneers in artificial intelligence for a no-nonsense discussion of whether a truly intelligent machine can be created – and, if so, how and when. The “thinking machines” that Alan Turing postulated in 1950 have already vaulted beyond us in specific
Early on in the evolution of artificial intelligence, researchers realized the power and possibility of machines that are able to understand the meaning and nuances of human speech. Conversation and human language is a particularly challenging area for computers, since words and communication is not precise. Human language is filled with nuance, context, cultural and societal depth, and imprecision that can lead to a wide range of interpretations. If computers can understand what we mean when we talk, and then communicate back to us in a way we can understand, then clearly we’ve accomplished a goal of artificial intelligence.
Machine learning isn’t just for simple tasks like assessing credit risk and sorting mail anymore – today, it’s capable of far more complex applications, like grading essays and diagnosing diseases. With these advances comes an uneasy question: Will a robot do your job in the future?