No, artificial intelligence isn’t coming for your job
However, AI will change the way we work over the next 20
years and the early transition may be difficult in certain industries
If the buzz around Artificial Intelligence (AI) has
left you nervous that it could soon take away your job and that technology
works better than your brain, you are probably mistaken.
First, there is nothing artificial about intelligence
and unlike industrial automation that is actually taking away jobs globally, AI
is only going to supplement human intelligence across the spectrum — from
banking to media.
According to Gartner, in its current state, AI
consists of software tools aimed at solving problems. While some forms of AI
might give the impression of being clever, it would be unrealistic to think
that current AI is similar or equivalent to human intelligence.
Master of one task
“Some forms of Machine Learning (ML) — a category of
AI — may have been inspired by the human brain, but they are not equivalent,”
says Alexander Linden, research vice-president at Gartner. The
image-recognition technology, for example, is more accurate than most humans
but is of no use when it comes to solving a math problem.
“The rule with AI today is that it solves one task
exceedingly well but if the conditions of the task change only a bit, it
fails,” Linden says.
Reflect our biases
When it comes to bias, an ML model will always
operate the way you’ve trained it, says Olivier Klein, head of emerging
technologies, Asia-Pacific at Amazon Web Services (AWS), which is retail giant
Ama zon’s Cloud arm.
“If you train a model with a bias, you would end up
with a biased model. You continuously need to train and re-train your ML model
and the most important thing is that you need some form of feedback from the
end-consumers,” Klein says. “ML is absolutely not about replacing humans but
enhancing the experiences,” he adds.
Solve business problems
IT and business leaders are often confused about what
AI can do for their organisations and are challenged by several AI
misconceptions. According to Gartner, they must separate reality from myths to
devise their future strategies.
“Every organisation should consider the potential
impact of AI on its strategy and investigate how this technology can be applied
to its business problems,” writes Gartner.
Needs time and data
Klein says that humans are good at learning quickly
with little information. “ML models are the opposite. They require a lot of
data inputs to be able to be trained.
“I would argue that you show someone a bicycle a few
times and you show them how to ride a bicycle and the human being is able to
ride that bicycle pretty easily. To just train a robot to ride a bicycle takes
millions of hours of training,” explained Klein.
The truth is: Machines are not here to take decisions
on their own and certain human emotions — empathy, for instance — can never be
automated.
— IANS
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