The 7 Types of AI - And Why We Talk (Mostly) About 3 of Them
TLDRThe video script introduces a classification of artificial intelligence into seven types, focusing on two main categories: AI capabilities and functionalities. It explains that the only AI in existence today is artificial narrow or 'weak' AI, which is trained for specific tasks and cannot operate outside its defined parameters. Theoretical AI forms, such as artificial general intelligence (AGI or 'strong' AI) and super AI, are also discussed. AGI, still a concept, would be able to learn new tasks independently, while super AI, if ever realized, would surpass human cognitive abilities. The script further details the functionalities of narrow AI, including reactive machine AI and limited memory AI, and speculates on the potential functionalities of AGI, such as 'theory of mind' AI, and super AI, which could be self-aware.
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.
- 🌟 ANI can be trained to perform specific tasks but cannot operate outside its defined function.
- 🔮 Theoretical AI forms include Artificial General Intelligence (AGI) or 'strong AI', which can adapt and learn new tasks independently.
- 🚀 'Super AI' is a theoretical concept that surpasses human cognitive abilities and may develop its own emotions, needs, and beliefs.
- 🎯 Reactive Machine AI, a subset of ANI, is designed for specialized tasks and uses statistical math to analyze data.
- 💡 Limited Memory AI, another ANI functionality, can recall past events and use this data to influence future decisions.
- 💖 'Theory of Mind AI' is associated with AGI and aims to understand and respond to human emotions and intentions.
- 🌐 Emotion AI is a developing field within 'Theory of Mind AI', focusing on analyzing and responding to human feelings.
- 🌌 Self-Aware AI, under Super AI, would possess an understanding of its own internal state and have independent emotions and needs.
- 📈 The development and understanding of these AI types provide a framework for gauging the progress in AI technology.
Q & A
What are the two encompassing categories of AI mentioned in the transcript?
-The two encompassing categories of AI 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 potential future AI type that can perform tasks without human training?
-Artificial General Intelligence (AGI), or 'strong AI', is the theoretical future AI type that can perform tasks without human training.
What is the main limitation of Artificial Narrow AI?
-Artificial Narrow AI is limited to performing only the specific tasks it has been trained for and cannot perform outside of its defined task.
How does Reactive Machine AI work?
-Reactive Machine AI is designed to perform a very specific specialized task, using statistical math to analyze vast amounts of data and produce a seemingly intelligent output.
What significant event is used as an example of Reactive AI in the transcript?
-IBM's chess-playing supercomputer Deep Blue beating chess grandmaster Garry Kasparov in the late 1990s is used as an example of Reactive AI.
What is Limited Memory AI, and how does it differ from Reactive AI?
-Limited Memory AI can recall past events and outcomes, monitor specific objects or situations over time, and use past and present data to decide on actions for desired outcomes. It differs from Reactive AI in that it can improve performance over time with more data.
What is 'Theory of Mind AI', and how does it relate to AGI?
-'Theory of Mind AI' is a concept related to AGI that would understand the thoughts and emotions of other entities, specifically humans, to infer motives and personalize interactions based on emotional needs and intentions.
What is the scariest AI type mentioned in the transcript, and why?
-The scariest AI type mentioned is 'Self-Aware AI' under Super AI, because it would have the ability to understand its own internal conditions, emotions, needs, and beliefs, potentially evolving beyond human control.
How many types of AI are discussed in the transcript, and how many of them are theoretical?
-The transcript discusses seven types of AI, with four of them being theoretical and three existing today.
What is the significance of the taxonomy of AI types provided in the transcript?
-The taxonomy of AI types helps to understand the current state of AI development and provides a framework for gauging the progress in AI technology over time.
Outlines
🤖 Overview of AI Types and Capabilities
This paragraph introduces the classification of artificial intelligence (AI) into seven types, focusing on two broad categories: AI capabilities and AI functionalities. It explains that the only existing type of AI today is artificial narrow or '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') and artificial super AI, which are yet to be realized and involve advanced capabilities like independent learning and surpassing human cognitive abilities.
🤖 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 specialized tasks, using statistical math to analyze data and produce intelligent outputs, exemplified by IBM's Deep Blue. Limited memory AI is introduced as a form of AI that can recall past events and outcomes to inform decisions, improving over time with more data. The paragraph also discusses theoretical functionalities like 'theory of mind AI' for AGI, which would understand and respond to human emotions, and 'self-aware AI' for super AI, which would possess its own emotions, needs, and beliefs.
Mindmap
Keywords
💡Artificial Intelligence (AI)
💡Artificial Narrow Intelligence (ANI)
💡Artificial General Intelligence (AGI)
💡Artificial Super Intelligence (ASI)
💡Reactive Machine AI
💡Limited Memory AI
💡Theory of Mind AI
💡Self-Aware AI
💡Taxonomy of AI
💡AI Journey
Highlights
The classification of AI into seven types based on capabilities and functionalities.
Artificial Narrow AI (Weak AI) is the only type of AI that exists today, used for specialized tasks.
Theoretical AI includes Artificial General Intelligence (AGI or Strong AI) and Super AI, which are concepts for future development.
Artificial General Intelligence (AGI) has the potential to learn and perform new tasks without human training.
Super AI could surpass human cognitive abilities, making judgments and possessing emotions and beliefs.
Reactive Machine AI, such as IBM's Deep Blue, performs specialized tasks using statistical math and data analysis.
Limited Memory AI can recall past events and outcomes to inform decision-making for desired outcomes.
Generative AI chatbots rely on Limited Memory AI capabilities to predict and generate contextually relevant responses.
Theory of Mind AI aims to understand and respond to human emotions and intentions.
Emotion AI is a subset of Theory of Mind AI, currently in development to analyze and respond to human feelings.
Self-Aware AI, under Super AI, would have its own emotions, needs, and beliefs, independent of human input.
The AI taxonomy provides a framework to understand the progression and current state of AI technology.
There is much to be learned and discovered in the field of AI, with only three types existing today.
The distinction between realized AI, like Narrow AI, and theoretical AI, such as AGI and Super AI, is crucial for understanding AI's potential.
AI advancements are expected to bring about significant changes in how AI interacts with and understands human emotions and intentions.
The development of AI technologies continues to be a dynamic field with ongoing research and innovation.