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8 misleading AI myths — and the realities behind them

8 misleading AI myths — and the realities behind them

With all of the hype around AI and machine learning come many factual inaccuracies. Let’s separate the truth from the fiction

Credit: Dreamstime

Computer sentience has been fodder for Hollywood for decades. Usually it’s for the bad, whether it’s HAL in “2001: A Space Odyssey” or the T-800 in “Terminator.” Occasionally it’s been thoughtful, like Project 2501 in “Ghost in the Shell.” Whatever the plot, few themes elicit such fear and loathing as the robot armies and superintelligent computers we get from movies and TV.

The rise of artificial intelligence and machine learning over the last few years has not helped, and even people who should know better are giving in to fear. The fact is, much of the fear around AI comes from overactive imaginations that machines will mimic our own bad behavior.

Skynet aside, there are some rational questions and answers to be had. So let’s break down the myths and realities around AI and all of its offshoots, like machine learning and deep learning.

Myth: AI is going to take away jobs. Reality: Mostly AI will change existing jobs and create new ones.

This is the single greatest fear, and it is legitimate. AI is being used to automate many boring, repetitive functions in areas as diverse as customer service, data center management, and radiology. Does that mean server admins are out of a job? No, it means they are free to work on more challenging tasks. 

Some industries might be impacted and some workers may be displaced, but that has happened constantly and regularly. The industrial revolution of the late 1800s caused massive displacement. The car put the horse and buggy industry out of business. Early telephone calls could not be done without an operator, and AT&T had armies of them.

“What will happen to people whose jobs are replaced by AI? They move on to other jobs. We’ve done that through all of human history. That’s nothing new,” said David McCall, vice president of innovation for data center operator QTS.

“Based on all the work we’re doing with large companies, we’re seeing a displacement of lower level knowledge workers,” said Anthony DeLima, head of digital transformation and U.S. operations for Neoris, a digital business transformation accelerator.

“AI is automating a number of tasks done by knowledge workers, operates 24/7 at a higher level of accuracy, and also provides insights and forward looking views where the customers or market are going,” DeLima says. “So the prediction level of AI is in some cases exceeding what people can do.”

DeLima has a 33% rule: 33% of knowledge workers make the change easily, 33% want to make the change but require significant training to be a higher level knowledge worker, and 33% are unable to adjust or be retrained. For that last 33%, the change is so great they must move on to something else. 

Myth: AI is smarter than people. Reality: AI is as smart as you program it.

“We project onto AI what we would do,” said McCall. “I think the smartest engine on earth is the human brain and we’re not going to build a smarter AI than the human brain. AI isn’t sentient, it isn’t conscious, and I don’t think it will get smarter than us.”

There is no artificial intelligence without people; the people who create the algorithms and information that make up AI. We build it, teach it, and give it the tools to make certain decisions on our behalf, notes McCall.

“Narrowly, AI can be used in some circles to make decisions faster than humans. That doesn’t mean the decisions are always right or thoughtful or always the right outcome,” McCall said. “Is AI socially aware? How do you teach AI to read the room?” Some decisions can only be made by humans.

Myth: AIOps is predominantly based on event management and correlation. Reality: Maybe at first but it is evolving.

“The initial wave of AIOps did revolve our event management systems to perform noise reduction based on correlating alerts, like grouping of similar alerts,” said Ciaran Byrne, vice president of product strategy for OpsRamp, developer of AIOps software. This was a significant step forward, given that noise has long hindered the usability of event management systems. 

But even greater benefits are on the horizon. “The next wave has broadened to other areas of IT Operations such as automation and monitoring/observability,” Byrne said. “Use cases would include intelligent routing of tickets or automation based on learned patterns.” 

Myth: Companies don’t need an AI strategy.  Reality: Oh yes you do.

QTS predicts that over the next decade, there is no organization, industry, or business segment that is going to completely avoid being touched by AI. It is a risky proposition not to have an AI plan because your competition certainly will — and they will be able to respond to market changes much quicker.

Jay Marwaha, CEO at SYNTASA, developer of behavioral analytics software for customer interactions and behavioral data, agrees. “The customers we deal with feel that AI is the next big thing companies must adopt and grow their top line immediately or reduce their bottom line,” he said.

How much of an impact AI has depends on how those companies use AI, Marwaha added, and those that use AI to full effect do very well. “Many companies don’t understand the whole picture going into this. They see the buzzwords, hear other companies taking advantage of it,” he said. “The returns are not always that much, but in some cases, the returns are huge.”

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