The 7 Types of AI - And Why We Talk (Mostly) About 3 of Them
TLDRThe video script categorizes artificial intelligence into seven types, focusing on two main categories: AI capabilities and functionalities. It explains that only artificial narrow AI, or 'weak AI,' exists today, capable of performing specific tasks but requiring human training. Theoretical AI types include artificial general intelligence (AGI), which can learn new tasks independently, and artificial super AI, which surpasses human cognitive abilities. The script also discusses AI functionalities, including reactive machine AI, limited memory AI, theory of mind AI, and self-aware AI, highlighting their development and potential impact on society.
Takeaways
- 🤖 AI is classified into seven types, based on capabilities and functionalities.
- 🏆 Artificial Narrow Intelligence (ANI), also known as 'weak AI', is the only AI type currently in existence, designed for narrow tasks.
- 🚀 Theoretical AI includes Artificial General Intelligence (AGI or 'strong AI') which can adapt and learn new tasks without human training.
- 🌟 'Super AI' is a theoretical concept where AI surpasses human cognitive abilities and develops its own emotions, needs, and beliefs.
- 🎯 Reactive Machine AI, an example of ANI, performs specialized tasks based on statistical analysis and data processing.
- 📈 Limited Memory AI, another form of ANI, recalls past events and outcomes to make decisions, improving over time with more data.
- 💭 'Theory of Mind AI' is associated with AGI, aiming to understand and respond to human emotions and intentions.
- 🧠 Self-Aware AI, under Super AI, would have an understanding of its own internal conditions, emotions, and desires.
- 🤔 The distinction between these AI types helps us track the progress in AI development and understand its potential future capabilities.
- 🌐 AI advancements are still in their exploratory phase, with much to learn and discover in the realm of artificial intelligence.
Q & A
What are the two encompassing categories of AI mentioned in the script?
-The two encompassing categories of AI mentioned are AI capabilities and AI functionalities.
What is the term used for the only type of AI that exists today?
-Artificial Narrow AI, also known as 'weak AI', is the only type of AI that exists today.
What is the primary limitation of Artificial Narrow AI?
-Artificial Narrow AI is limited to performing only the specific tasks it has been trained for and cannot operate outside of its defined task.
What is the main difference between Narrow AI and Theoretical AI?
-Narrow AI refers to the realized AI that we have today, while Theoretical AI encompasses the forms of AI that are currently hypothetical and may exist in the future.
What is Artificial General Intelligence (AGI) also known as?
-Artificial General Intelligence (AGI) is also known as 'strong AI'.
How does AGI differ from Narrow AI in terms of learning new tasks?
-AGI can use its previous learnings and skills to accomplish new tasks in different contexts without the need for human training, whereas Narrow AI requires human training for each specific task.
What is the first type of AI functionality discussed in the script?
-The first type of AI functionality discussed is Reactive Machine AI, which is designed to perform very specific, specialized tasks.
How did Reactive AI demonstrate its capabilities in the late 1990s?
-Reactive AI demonstrated its capabilities when IBM's chess-playing supercomputer, Deep Blue, beat chess grandmaster Garry Kasparov by analyzing the board and predicting outcomes of each move.
What is Limited Memory AI, and how does it improve over time?
-Limited Memory AI can recall past events and outcomes, monitor specific objects or situations over time, and use past and present data to make decisions. It improves in performance as it is trained on more data over time.
What is 'Theory of Mind AI', and how does it relate to AGI?
-Theory of Mind AI refers to AI that understands the thoughts and emotions of other entities, like humans, to infer motives and personalize interactions. It is a concept related to AGI that is currently in development, with emotion AI being an example.
What are the three types of AI capabilities that actually exist today?
-The three types of AI capabilities that exist today are Artificial Narrow AI (weak AI), Reactive Machine AI (a functionality of Narrow AI), and Limited Memory AI (another functionality of Narrow AI).
How does the script suggest we track our progress in AI development?
-The script suggests using the taxonomy of AI types, including both realized and theoretical ones, as a framework to understand and track our progress on the AI journey.
Outlines
🤖 Classification of Artificial Intelligence
This paragraph introduces the concept of categorizing artificial intelligence (AI) into seven distinct types, based on two broad categories: AI capabilities and AI functionalities. It explains that the only type of AI currently in existence is artificial narrow AI, also known as 'weak AI,' which is capable of performing specific tasks but requires human training. The paragraph also touches on theoretical AI forms, such as artificial general intelligence (AGI or 'strong AI') which can learn and adapt without human intervention, and artificial super AI, which would surpass human cognitive abilities. The discussion sets the stage for understanding the current state of AI and its potential future developments.
🧠 Functionalities of Narrow AI
The second paragraph delves into the functionalities of narrow AI, highlighting two fundamental types: reactive machine AI and limited memory AI. Reactive machine AI is described as systems designed for specific tasks, using statistical math to analyze data and produce intelligent outputs, with IBM's Deep Blue as a historical example. Limited memory AI is introduced as a form of AI that can recall past events and outcomes to inform decision-making, improving over time with more data. The paragraph also discusses theoretical AI functionalities, such as 'theory of mind AI,' which aims to understand and respond to human emotions, and 'self-aware AI,' which would possess an understanding of its own internal conditions and emotions. The summary emphasizes the current limitations of AI and the potential for future advancements in understanding and interacting with human emotions and cognition.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡Artificial Narrow Intelligence (ANI)
💡Artificial General Intelligence (AGI)
💡Artificial Super Intelligence
💡Reactive Machine AI
💡Limited Memory AI
💡Theory of Mind AI
💡Self-Aware AI
💡Taxonomy of AI Types
💡AI Journey
Highlights
The classification of AI into seven types based on capabilities and functionalities.
Artificial Narrow Intelligence (ANI), also known as 'weak AI', is the only type of AI that exists today.
ANI can be trained to perform a narrow task, but cannot perform outside of its defined task.
Theoretical AI includes Artificial General Intelligence (AGI) and 'super AI', which do not currently exist.
AGI, or 'strong AI', is a theoretical concept that can learn and perform new tasks without human training.
Super AI would surpass human cognitive abilities and have its own emotions, needs, and beliefs.
Reactive Machine AI, the earliest form of realized AI, performs specialized tasks based on statistical math.
IBM's Deep Blue, which defeated Garry Kasparov, is an example of Reactive Machine AI.
Limited Memory AI can recall past events and outcomes to inform decision-making.
Generative AI chatbots rely on Limited Memory AI to predict and generate text or visual elements.
Theory of Mind AI, a concept for AGI, would understand and respond to human emotions and intentions.
Emotion AI is a developing field aiming to understand and respond to human feelings.
Self-Aware AI, under Super AI, would have an understanding of its own internal conditions and emotions.
The AI taxonomy provides a framework to understand the progression of AI development.
There is much to be learned and discovered in the field of AI, with only three types currently in existence.