Augmented intelligence is a design approach that uses artificial intelligence to complement human problem-solving skills. In this philosophy, humans make major decisions, with AI limited to data processing, virtual assistance, and managing background tasks.

This is the solution to the big data issue. Due to the overwhelming amount of information involved in decision-making, humans require AI assistance to identify key decision points. So, augmented intelligence merges machine accuracy with human intuition and oversight.

How Does Augmented Intelligence Work?

Augmented intelligence integrates artificial intelligence and human intelligence to enhance the decision-making process. In augmented intelligence, AI algorithms process the data, spot trends, and provide relevant insights and suggestions that help humans to make better decisions.

The operation mechanism of augmented intelligence depends on the technology used and the problem it seeks to address. For example, a recommender system can use machine learning algorithms to analyze user actions and provide personalized suggestions. 

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Augmented Intelligence Examples

Difference Between Artificial and Augmented Intelligence

Artificial intelligence (AI) is the creation of computer systems that can do activities that ordinarily need human intelligence, like language translation, speech recognition, or decision-making.

AI systems can work under supervision or autonomously and make judgments based on the data given to them. On the other hand, augmented intelligence uses AI technology to improve human intelligence.