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The Difference between Augmented Intelligence and Artificial Intelligence

Artificial intelligence comprises of intelligent machines and software-enabled tools capable of thinking, acting, basically mimicking a human mind. These AI-based tools are trained take decisions on their own (this is at least a decade away). In the last decade, AI has practically touched all aspects of our lives. From helping write emails and guiding us with directions to amplifying the marketing game and providing better healthcare facilities, the evolution of AI has been fascinating to watch.

AI was first mentioned by computer scientist John McCarthy in 1956. He explained this magnificent concept as ‘the science and engineering of making intelligent machines.’ Several innovations and dynamic advancements later, it is safe to conclude that AI is a big part of our world.

But there’s another concept, which is running parallel to artificial intelligence and helping industries transform their businesses and make life simpler, under human supervision. It is called augmented intelligence. Augmented intelligence is a subsection of artificial intelligence which enables humans to stay in the know while AI is at work, solving problems. In this post, let’s take a deeper look into the dynamic world of augmented intelligence and artificial intelligence.

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To begin with, both artificial intelligence and augmented intelligence are interrelated, and have a common goal but approach it differently. While artificial intelligence is more focused on automating processes, analyzing data, and operating anonymously, augmented intelligence, works with artificial intelligence while keeping humans in the loop and allowing them to take decisions. Augmented intelligence enables human intervention, unlike artificial intelligence. 

It is strongly predicted that one day, artificial intelligence will take over human jobs in probably all spheres and mankind may cease to exist. However, augmented intelligence will work with humans and enhance their capabilities. 

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Augmented Intelligence vs. Artificial Intelligence 

Augmented intelligence depends on deep learning and machine learning techniques to extract huge amounts of data, and enable humans to action them. In the case of a retail shop, augmented intelligence can suggest ways to place a product to the merchandiser after observing shopper data. To be precise, augmented intelligence offers suggestions to humans to take decisions unlike artificial intelligence, which works through data and takes anonymous decisions. Together, augmented intelligence and artificial intelligence can help maintain equilibrium between humans and technology. 

Frances Karamouzis, a distinguished VP analyst at research firm Gartner, explained the difference between artificial intelligence and augmented intelligence. She stated that artificial intelligence is an amalgamation of different techniques and tools and augmented intelligence is just a manifestation depending on one’s discretion on how to implement those Ai technologies. 

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Another conspicuous difference between the two is the need for social intelligence. Artificial intelligence is required to show smart, intelligent behavior like a human which will aid in taking autonomous decisions with any human intervention. However augmented intelligence, too shows intelligence behavior but what sets it apart is its intent to work with humans to enhance the accuracy of a given task or a decision to be made. This comes from social intelligence, which is a feature of augmented intelligence that enables the understanding of both the task and the decision that humans intend before actually doing it. Tech conglomerate, Tesla vehicles are embedded with augmented intelligence despite their autopilot feature. In the case of emergencies like applying sudden brakes, the vehicles rely on augmented intelligence for human intervention. 

In a broader sense, when augmented intelligence and humans work together, the benefit of a bigger picture on common sense is greater unlike artificial intelligence, where an intricate, narrow view of the data and information is the key.

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