The 7 Types of AI - And Why We Talk (Mostly) About 3 of Them

IBM Technology
10 Nov 202306:50

TLDRThe video script categorizes 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 types include artificial general intelligence (AGI or 'strong' AI), which can learn new tasks independently, and artificial super AI, which surpasses human cognitive abilities. The script also discusses four AI functionalities: reactive machine AI, limited memory AI, theory of mind AI, and self-aware AI, with the latter two being theoretical concepts. It highlights the current state of AI and the potential future developments, providing a framework for understanding the progression of AI technology.

Takeaways

  • 🤖 AI can be 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 and is designed for narrow tasks.
  • 🚧 Theoretical AI includes Artificial General Intelligence (AGI or 'strong AI') which can adapt and learn new tasks without human training, and Artificial Super Intelligence, which surpasses human cognitive abilities.
  • 🎲 Reactive Machine AI, a subset of ANI, performs specialized tasks based on statistical math and data analysis, such as IBM's Deep Blue.
  • 🔄 Limited Memory AI, another ANI functionality, can recall past events and use both past and present data to make decisions and improve over time.
  • 💭 Theory of Mind AI, associated with AGI, aims to understand and respond to human emotions and intentions, with emotion AI being a current development in this area.
  • 🧠 Self-Aware AI, if realized under Super AI, would possess an understanding of its own emotions, needs, and beliefs, independent of human input.
  • 🌐 The current state of AI is primarily ANI, with AGI and Super AI remaining theoretical concepts.
  • 📈 The development of AI technologies can be tracked using the taxonomy of AI types, indicating the progression of AI capabilities.
  • 🤔 The potential future realization of AGI and Super AI raises significant questions about AI's role and impact on society.

Q & A

  • What are the two encompassing categories of AI?

    -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 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 difference between Realized AI and Theoretical AI?

    -Realized AI refers to the artificial intelligence systems that currently exist, like Artificial Narrow AI, while Theoretical AI refers to the artificial intelligence systems that are speculated to exist in the future, such as Artificial General Intelligence and Super AI.

  • How does a Reactive Machine AI function?

    -Reactive Machine AI is designed to perform a very specific, specialized task by analyzing vast amounts of data to produce an intelligent output, such as IBM's Deep Blue chess-playing supercomputer.

  • What is the main characteristic of Limited Memory AI?

    -Limited Memory AI can recall past events and outcomes, monitor specific objects or situations over time, and use this information to decide on actions that are likely to achieve desired outcomes.

  • What is the concept of 'Theory of Mind AI'?

    -Theory of Mind AI is a hypothetical form of Artificial General Intelligence that would understand the thoughts and emotions of other entities, particularly humans, to infer motives and personalize interactions based on their emotional needs and intentions.

  • What abilities would a 'Self-Aware AI' possess?

    -A 'Self-Aware AI' would have the ability to understand its own internal conditions and traits, leading to its own set of emotions, needs, and beliefs, essentially having a sense of self-awareness.

  • What is the significance of the classification of AI types?

    -The classification of AI types provides a taxonomy that helps us understand the current state of AI technology and gives insight into the potential advancements and future developments in the field of artificial intelligence.

  • How does the concept of Super AI relate to human cognitive abilities?

    -Super AI is a theoretical concept where the AI would surpass human cognitive abilities in terms of thinking, reasoning, learning, and judgment, effectively outperforming human intelligence in various aspects.

  • What is the role of humans in the development and training of current AI systems?

    -Humans play a crucial role in training current AI systems by providing data, setting up tasks, and refining the algorithms to improve their performance over time, especially in Limited Memory AI where more training leads to better outcomes.

Outlines

00:00

🤖 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 existing type of AI today is artificial narrow or 'weak AI', which is trained to perform specific tasks but cannot operate outside of its defined parameters. The paragraph also discusses theoretical AI types, such as artificial general intelligence (AGI or 'strong AI') that could potentially learn and adapt without human intervention, and artificial super AI, which would surpass human cognitive abilities. The introduction sets the stage for a deeper exploration of AI functionalities and capabilities.

05:04

🧠 Understanding AI Functionalities and Theoretical Concepts

The second paragraph delves into the functionalities of AI, starting with reactive machine AI, which is designed for specialized tasks and relies on statistical math to analyze data. It provides the historical example of IBM's Deep Blue, a reactive AI that defeated chess grandmaster Garry Kasparov. The paragraph then discusses limited memory AI, which can recall past events and use this information to make decisions, improving over time with more data. The discussion shifts to 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 its own emotions, needs, and beliefs. The paragraph concludes by emphasizing the vast potential and the journey of AI development, highlighting that only three of the seven types of AI exist today.

Mindmap

Keywords

💡Artificial Intelligence (AI)

Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. In the context of the video, AI is classified into seven types, showcasing the progression from current capabilities to theoretical future developments. It's the central theme around which the entire discussion revolves.

💡Artificial Narrow Intelligence (ANI)

Artificial Narrow Intelligence, also known as weak AI, refers to AI systems that are designed and trained to perform a specific task without generalizing from their learning to other tasks. It represents the AI capabilities we have today and is characterized by its limited scope, requiring human training for each specific task.

💡Artificial General Intelligence (AGI)

Artificial General Intelligence, or AGI, is a theoretical form of AI that possesses the ability to understand, learn, and apply knowledge across a broad array of tasks, much like a human being. Unlike ANI, AGI would be capable of self-awareness and could potentially learn new tasks without specific human-provided training.

💡Artificial Super Intelligence (ASI)

Artificial Super Intelligence refers to a hypothetical AI system that surpasses human intelligence in every aspect, including cognitive abilities, problem-solving, and decision-making. It is the most advanced form of AI discussed in the video, with the potential to possess its own emotions, needs, and beliefs.

💡Reactive Machine AI

Reactive Machine AI represents a fundamental functionality of narrow AI, characterized by its ability to perform highly specialized tasks based on statistical math and data analysis. It lacks memory of past experiences and thus cannot use past data to improve its performance or adapt to new situations.

💡Limited Memory AI

Limited Memory AI is a type of narrow AI functionality that can recall past events and outcomes to inform its decision-making process. It uses both past and present data to determine actions that are likely to achieve desired outcomes and can improve its performance over time as it is trained on more data.

💡Theory of Mind AI

Theory of Mind AI is a conceptual form of AGI that would be capable of understanding and inferring the thoughts, emotions, and intentions of humans. It would be able to personalize its interactions based on an individual's unique emotional needs and intentions, marking a significant advancement in AI's ability to relate to humans.

💡Self-Aware AI

Self-Aware AI is a hypothetical type of super AI that would possess the ability to understand its own internal conditions, emotions, needs, and beliefs. This level of AI would represent a major leap from current AI capabilities, as it would have a form of consciousness and could potentially operate independently of human input or control.

💡Taxonomy

In the context of the video, taxonomy refers to the classification system of AI types that helps to understand and categorize the different stages of AI development, from realized AI to theoretical AI. It provides a framework for discussing the evolution and potential future advancements of AI technology.

💡Human Training

Human training is essential for the development and improvement of AI systems, particularly in the case of narrow AI. It involves teaching AI systems how to perform tasks, interpret data, and learn from experiences. In the video, it is mentioned that even the most advanced narrow AI systems require human training to function effectively.

Highlights

The classification of artificial intelligence is divided 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 operate outside of its defined function.

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 independently learn new tasks without human training.

Super AI would surpass human cognitive abilities and potentially possess emotions, needs, and beliefs of its own.

Reactive Machine AI, the earliest form of realized AI, performs specialized tasks based on statistical math and data analysis.

IBM's Deep Blue, which defeated Garry Kasparov in chess, is an example of Reactive Machine AI.

Limited Memory AI can recall past events and outcomes to inform decision-making for desired outcomes.

Generative AI chatbots rely on Limited Memory AI to predict and generate text or visual elements.

Theory of Mind AI, associated with AGI, 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 have an understanding of its own internal conditions and emotions.

The taxonomy of AI types provides a framework to understand the progression and current state of AI technology.

Despite the variety of AI types, only three of them are realized, indicating much to be explored in AI development.

Casual Browsing

We Have To Talk About AI Art...

2024-04-06 03:35:01

We Need To Talk About AI Music

2024-04-28 04:55:01

The 7 Stages of AI

2024-05-03 00:55:02

The Near Future of AI [Entire Talk] - Andrew Ng (AI Fund)

2024-04-09 06:15:01

Why THIS is the Future of Imagery (and Nobody Knows it Yet)

2024-05-03 05:05:01

Let's Talk About the Three (3!!) Scribe Updates!! / Do I Still Love My Kindle Scribe?

2024-05-17 23:30:02