Definition
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.
Augmented Intelligence Tools
- Machine learning algorithms: These systems can analyze huge amounts of data and identify correlations and patterns for further insights.
- NLP technology: Augmented intelligence humanizes interaction between users and AI systems such as chatbots and virtual assistants.
- Recommendation technologies: These systems can employ machine learning algorithms to access user behavior and offer tailored recommendations based on that data.
- Decision support systems: These systems use data analytics and machine learning to support decision-making.
- Chatbots: AI-driven systems can automate support functions such as live chat conversations.
- Robotics Process Automation (RPA): RPA systems are useful in automating repetitive and time-intensive tasks, allowing humans to focus on other tasks.
- Predictive analysis: It’s possible to analyze and predict future events and trends through data analytics and machine learning.
Augmented Intelligence Examples
- Word processors like Google Docs or MS Word use augmented intelligence to refine grammar and spelling.
- Virtual assistant technologies such as Alexa, Siri, and Google Assistant help people manage daily routines, schedule events, and automate home functions.
- Identity verification software crosschecks images across a large database but leaves the final decision to humans to remove any false positives.
- Banking software can identify user risks and needs promptly, helping financial experts decide the most useful product.
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.