A.I. levels

Artificial intelligence (AI) can be classified into different levels based on their capabilities and complexity. Here is a summary of the different levels of AI according to the provided web search results:

1. Reactive Machines: This type of AI can only react to specific situations and does not have any memory or ability to use past experiences to inform future actions [1].

2. Limited Memory Machines: This type of AI can use past experiences to inform future actions, but can only recall a limited amount of data [1].

3. Augmented AI: This type of AI is designed to work alongside humans, using machine learning algorithms to enhance human decision-making processes [2].

4. Automated AI: This type of AI is designed to operate autonomously and can perform tasks without human intervention, such as chatbots or autonomous vehicles [2].

5. Theory of Mind: This type of AI can understand the emotions, beliefs, and intentions of humans and can use this understanding to interact with humans in a more natural and effective way [1].

6. Artificial General Intelligence (AGI): This type of AI is capable of understanding or learning any intellectual task that humans or animals can perform. AGI is considered a primary goal of AI research and is also a common topic in science fiction and futures studies [4].

7. Artificial Super Intelligence (ASI): This type of AI is hypothetical and refers to an AI that surpasses human intelligence in all aspects, including creativity, problem-solving, and decision-making. ASI is considered a potential existential risk if not developed with proper precautions [5].

In conclusion, AI can be classified into different levels based on their capabilities and complexity, from reactive machines to artificial superintelligence. Understanding these different levels of AI can help individuals and organizations better understand the potential and limitations of AI technology.