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Gartner: the human touch is the strongest element in AI

CIOs need to prepare workers for a future in which people do more creative and impactful work because they no longer have to perform many routine and repetitive tasks, according to Gartner, Inc. ( People and machines are entering a new era of learning in which artificial intelligence (AI) augments ordinary intelligence and helps people realize their full potential.

“Pairing AI with a human creates a new decision-making model in which AI offers new facts and options, but the head remains human, as does the heart,” said Svetlana Sicular, research vice president at Gartner. “Let people identify the most suitable answers among the different ones that AI offers, and use the time freed by AI to create new things.”

The research group says AI will change the workforce, but its impact will not be detrimental to all workers. According to a Gartner survey conducted in the first quarter of 2018 among 4,019 consumers in the U.K. and U.S., 77% of employees whose employers have yet to launch an AI initiative expect AI to eliminate jobs. But the same survey found that only 16% of employees whose employers have actually adopted AI technologies saw job reductions, and 26% of respondents reported job increases after adopting AI.

People will learn how to do less routine work, according to Gartner. They will be trained in new tasks, while old tasks that have become routine will be done by machines. 

“The human is the strongest element in AI,” explained Sicular. “Newborns need an adult human to survive. AI is no different. The strongest component of AI is the human touch. AI serves human purposes and is developed by people.”

Although AI will give employees the time to do more, organizations will need to train and retrain their employees in anticipation of AI investments.

“We are entering an era of continuous learning,” said Sicular. “People will have to learn how to live with AI-enabled machines. When machines take away routine tasks, people will have the time to do more new tasks, so they will need to constantly learn.” 

People will also need to learn how to train AI systems to be useful, clear and trustworthy, in order to work alongside them cooperatively.

“It’s about trust and engagement. People need to trust machines — this is the ultimate condition of AI adoption and success,” said Sicular.

The accompanying image is courtesy of “Extreme Tech.”

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