Head of IBM Watson Says AI Will Augment Human Beings
"The combination of the human and the tool together are greater than either one of them would've been by themselves."
Amplifying Human Reach
PC Mag recently interviewed Rob High, IBM Watson’s Vice President and Chief Technology Officer. Thanks to High’s experience with Watson, IBM’s artificial intelligence (AI) supercomputer, he is one of the preeminent thinkers in the AI space. In his interview, High spoke about how technology, and AI in particular, is transforming jobs, culture, and life for humanity.
For High, one of the biggest misconceptions the public holds about AI is the sort of dystopian worldview we see in Hollywood and, in some cases, from other thinkers in the field.
He points out that AI is not replacing the human mind, but augmenting human intelligence and amplifying its reach: “[I]f you look at almost every other tool that has ever been created, our tools tend to be most valuable when they’re amplifying us, when they’re extending our reach, when they’re increasing our strength, when they’re allowing us to do things that we can’t do by ourselves as human beings.”
Watson is designed to leverage machine learning and massive data analysis at scale in service to humans and our enterprises. The system is available as a set of open APIs and SaaS products for use by just about anyone. Whereas Watson can and probably will take over some jobs that include many repetitive tasks, such as reviewing medical images, it will be doing so for the benefit of humanity.
In the medical field, Watson’s system helps doctors sift through huge quantities of data in order to make a diagnosis. High explained that this system democratizes expertise, capturing and distributing it all over the world so that doctors and patients everywhere benefit from the latest and best medical expertise available. And in cases where the AI does take over the tasks that include reviewing thousands of similar images for diagnostic purposes, it will be doing so in service to helping medical professionals do their jobs more effectively.
Just as advances in cars and later airplanes put some passenger railway workers out of work in service to more efficient transportation, AI may take away tasks from humans that we really don’t need to be doing anymore. We can learn new tasks, and continue to teach our AIs.
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