Augmented Intelligence (AI): The Future of Cognitive Security
Augmented intelligence focuses on using artificial intelligence (AI) in an assistive role to enhance and work with human intelligence, not as a means of replacing people altogether. Unlike what is depicted in sci-fi movies, augmented intelligence uses machine learning to improve services and products working alongside and in tandem with human counterparts.
What Is Augmented Intelligence?
The augmented intelligence definition centres around the partnership between humans and artificial intelligence to enhance cognitive performance by working together to reach new heights. To augment means to improve or enhance something, and this is the exact goal here — to use artificial intelligence and machine learning to enrich programs and systems. Augmented intelligence is also known as intelligence amplification (IA) as well as cognitive augmentation. Augmented intelligence is a form of machine learning that aims to improve human decision-making and related actions.
Purpose of Augmented Intelligence
The human brain works very differently from a computer. When used together to collaborate, more things are possible. Essentially, augmented intelligence can increase the range of human capabilities. It can use data analytics to predict how a certain target audience will react or the actions they will take. For example, it can be used in online shopping to drive traffic based on the prediction of customer preferences. It can also be used by political think tanks to target and identify undecided voters. Computers can sift through vast amounts of data quickly, and augmented intelligence can help human operators better understand the data and how to use it. Augmented intelligence is more efficient than humans working independently. It can increase business value as well as help people to work smarter and better.
How Augmented Intelligence Works
Systems using augmented intelligence use artificial intelligence technologies to complement human output. Augmented AI uses technologies, such as these:
- Machine learning: Systems learn from data to identify patterns and make independent decisions to learn and improve.
- Logical reasoning: This uses logical techniques to rationalise and reach conclusions and deductions based on available data to solve problems and make predictions.
- Spatial navigation: Artificial neural networks are designed to work similarly to the human brain.
- Natural language processing: This works to teach machines how to understand and interpret the human language.
- Machine vision: This enables a computer to see for automatic analysis and inspection.
- Pattern recognition: This is automated recognition of patterns within data by spotting regularities.
Augmented intelligence employs five main functions:
- Understand: Data is fed to the system, which meaning is then derived from.
- Interpret: As new data is input, the old data is analysed, and new data sets are identified.
- Reason: The new data set then defines results.
- Learn: Humans then provide feedback on the results or output, and the system is adjusted.
- Assure: AI or blockchain technology is used to ensure compliance and security for risk management.
Role of Augmented Intelligence in Big Data
Big data often comes from data mining. It encompasses large amounts of data that is both structured and unstructured. Data is constantly pouring in. Data analytics is ne