Challenging Five Artificial Intelligence Misconceptions

by February 15, 2019 0 comments

Artificial Intelligence, or AI, has been a buzzword for quite a while now, with most people have heard about it, but do we know what exactly Artificial Intelligence is?  A lot many people are afraid of the word AI and don’t know how to tackle this buzzword, a fear which is usually caused by the unknown.

 

The Growth of AI

In recent years, artificial intelligence (AI) has evolved into one of the hottest topics for debates and discussion. However, though AI is getting an increasing amount of attention as its applications and capabilities grow, there are many misconceptions that mirror around the potential what AI can do changing lives.

The misconceptions which surround AI arise from the experienced fear together with either a total lack of information or the misinformation on the subject. This article will go through some of the main misconceptions that make people question the capabilities of AI, and would try to bring it down additionally to explain what AI means and how it might affect your life.

 

#1. AI Mirrors the Human Brain

This is the top misconception that surrounds AI, which in its current state, consists of a host of software tools designed to solve multiple problems. Though AI may seem smart, it is not yet similar of equivalent to human intelligence.

There are some forms of machine learning (ML) a subcomponent of AI that may have been inspired by the human brain, however, are not equivalent to mirror the human brain. Image recognition technology is more accurate than most humans but cannot be deployed when it comes to solving an analytical math problem. AI many solve one task exceedingly well in the current world but when the conditions of the task change, it would fail.

 

#2. AI is Dangerous

Many uses are still in awe of AI thinking of it as complex; through machine learning models are not inherently dangerous. They possess the same level of danger as other technologies which are already present in our lives. Most AI-systems follow human instructions, like solving a specific problem or analysing historical data with an aim to identify the optimal strategy to engage target audiences.

 

 #3. AI is Difficult to Comprehend

This misconception comes with the dangerous word associated with AI that is discussed in #2. The truth is tech buzzwords do tend to be a bit confusing with an air of mystery to the layperson. Similar to the concept of the cloud, another dangerous word, the same mysteriousness is true for artificial intelligence as well. The basics of AI are straightforward and artificial intelligence is just a mathematical algorithm that is altered over time. The AI algorithm is always improving based on changing datasets. Similar to the human brain, AI learns on historical data to improve predictions of the future. Though the human brain draws decisions from a subjective point of view, a machine bases its decisions on objective facts learned from previous numbers and analysis.

 

#4. AI and Free of Bias?

The truth is no technology is free from bias. AI is no exception. AI technology works on human input which is not bias-free. This puts AI with an intrinsic bias in one way or the other.

Currently, there is no way to take the bias away from AI completely, however, efforts are high to reduce it to a minimum. In addition to the technological solutions, such as diverse datasets, it is important to ensure team diversity while working with the AI algorithms and have team members review each other’s work for good. This simple process can significantly reduce the bias that happens with selection bias.

 

#5. AI Can only Replace Repetitive Jobs Which Don’t Need Advanced Degrees

Though AI-based technologies have taken over many reparative and mundane tasks, but according to the research major Gartner, AI can also augment complex ones, like the use of imaging AI in Healthcare. A chest X-ray application that works on AI can detect diseases much faster than radiologists. While in financial services, roboadvisors are being deployed for fraud detection and wealth management.

The growing advancement and adoption of AI into business and workplace is making the technology world to take notice.  IT leaders and Recruiters have adjusted job profiles and capacity planning to make way for this new age technology.

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