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12 Things Pop Culture Gets Wrong About Artificial Intelligence

12 Things Pop Culture Gets Wrong About Artificial Intelligence

As technology continues to evolve and become more integrated with our daily lives, it’s also become more embedded in popular culture.

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SwissCognitiveWhile some TV shows and movies successfully portray technology like , others don’t always take the time to explain the nuances of tech—or if they do, it’s not always accurate.

For non-tech people who glean much of their tech knowledge from pop culture, this can lead to a lot of misinformation. That’s why we asked the members of Forbes Technology Council to clear a few things up. Below they share 12 things pop culture gets wrong about , and what the public should know instead.

1. Can Do Anything A Human Can

will always have a level of containment, as it’s constrained to what we’re running it on. While can be trained to do specific tasks, it still needs human coaching to ensure the data is interpreted correctly. So, the idea that can do the same tasks a human can—it’s just not there today. – James Litton , Identity Automation.

2. Is Magic

is not magic like it’s shown in pop culture. is teamwork and needs lots of data, understanding and experience of the problem and industry—and a lot of patience. – Mahesh Sudhakaran , IBM 

3. All Human Jobs Will Be Taken Over By

There is a stigma that is “out to get your job.” However, , chatbots, computer vision, and more enable us to be more productive and let us do what we do best—tasks that require critical thinking, judgment and creativity. is a valuable tool that provides deep, personalized insights about the customer, enabling us to use our judgment to provide an amazing customer experience. – Bhaskar Roy, Workato

4. General Is Highly Advanced

I think pop culture confuses non-tech folks on the advancement of general . Most depicted in pop culture is a very advanced form of general , and when non-tech businesspeople see applied within their organization (especially with chatbots and ), they are very underwhelmed. What has gotten better in the last three to five years is domain-specific and the training methods around it. – Brian Sathianathan,

5. Is Just Machine Learning

One thing that is poorly understood is the complexity of solutions, as multiple technologies are needed to deliver a powerful experience. encompasses a wide spectrum of tech, including , hardware, recognition, robotic process automation, analytics, etc. More to the point, the alignment between teams that own different areas of these technologies is also crucial to success. – Tanvir Bhangoo, Freshii inc.

6. You Can Program Once And It’s Good To Go

is the science of making intelligent programs from knowledge, logic and learning. It is most effective if there are large amounts of data and a clearly defined mathematical model. It is not as easy as seen in the movies. A true solution, capable of freeing up humans for more advanced or complex roles, is very resource-intensive to develop and must gradually learn and evolve over time. – Michael Xie, Fortinet […]


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