8 questions about artificial intelligence
Posted: Thu Dec 05, 2024 9:40 am
There is growing concern among the public about the concept of artificial intelligence . Over the past decade, interest in this topic has grown significantly. From optimizing logistics to conducting research, intelligent machines are transforming the way we do business. There are many ethical and social issues in this area. In the article, we will consider the eight most frequently asked questions about artificial intelligence.
Table of Contents [ Hide ]
What is Artificial Intelligence – AI?
Are robots also AI? What about chatbots, machine learning, neural networks?
Can I meet AI in everyday life?
Can AI learn?
What about recognizing emotions?
Can AI become smarter than humans?
Can AI evaluate its own actions?
Is it possible for AI to get out of control and decide to get rid of the person?
What is Artificial Intelligence – AI?
Mathematicians , programmers, futurists and philosophers facebook phone number data struggling over the definition of artificial intelligence (AI). On the one hand, this is a large-scale interdisciplinary field of research at the intersection of mathematics, linguistics, programming and psychology.
On the other hand, AI is a mathematical algorithm that creates intelligent computer programs. They are called this because they can perform functions that are considered the prerogative of a person. For example, write a poem or music, lead a conversation.
AI is created to solve specific problems; all of these systems are highly specialized and cannot perform multiple functions at once. If a program is designed to transcribe human speech, it will never be able to play a card game.
It is customary to distinguish between weak and strong AI. When companies claim to have created a product with artificial intelligence, they are referring to weak versions of it: these are autopilots, voice assistants, translators. Reasoning about strong AI, the one that can think and be self-aware (that is, in fact, be on par with the human mind), remains a scientific and philosophical discussion.
Weak AI, when translating a text, replaces one word with another according to a certain algorithm, while strong AI can independently understand the meaning of a sentence. Here is the main difference.
Are robots also AI? What about chatbots, machine learning, neural networks?
No, we are talking about very close and interdependent concepts, but they are still not the same. Let's go back to the definition: AI is a large-scale interdisciplinary field of research (like geography).
There are several specialized areas of knowledge in this field, one of which is machine learning. Along with it, we can distinguish natural language text processing, virtual assistants and recommendation systems. It is like physical, economic or social geography.
We go down another step. A neural network is one of the subsections of machine learning, a mathematical algorithm with automated parameter settings. In total, there are four main subsections (methods) of machine learning: classical, reinforcement, ensemble, and neural network methods. Think of it as the geography of the oceans in the world physical geography section.
And where to put the robots in this case? Chatbots , robots, machine translators, scanners – all this is the end result and presentation format of AI technology.
Table of Contents [ Hide ]
What is Artificial Intelligence – AI?
Are robots also AI? What about chatbots, machine learning, neural networks?
Can I meet AI in everyday life?
Can AI learn?
What about recognizing emotions?
Can AI become smarter than humans?
Can AI evaluate its own actions?
Is it possible for AI to get out of control and decide to get rid of the person?
What is Artificial Intelligence – AI?
Mathematicians , programmers, futurists and philosophers facebook phone number data struggling over the definition of artificial intelligence (AI). On the one hand, this is a large-scale interdisciplinary field of research at the intersection of mathematics, linguistics, programming and psychology.
On the other hand, AI is a mathematical algorithm that creates intelligent computer programs. They are called this because they can perform functions that are considered the prerogative of a person. For example, write a poem or music, lead a conversation.
AI is created to solve specific problems; all of these systems are highly specialized and cannot perform multiple functions at once. If a program is designed to transcribe human speech, it will never be able to play a card game.
It is customary to distinguish between weak and strong AI. When companies claim to have created a product with artificial intelligence, they are referring to weak versions of it: these are autopilots, voice assistants, translators. Reasoning about strong AI, the one that can think and be self-aware (that is, in fact, be on par with the human mind), remains a scientific and philosophical discussion.
Weak AI, when translating a text, replaces one word with another according to a certain algorithm, while strong AI can independently understand the meaning of a sentence. Here is the main difference.
Are robots also AI? What about chatbots, machine learning, neural networks?
No, we are talking about very close and interdependent concepts, but they are still not the same. Let's go back to the definition: AI is a large-scale interdisciplinary field of research (like geography).
There are several specialized areas of knowledge in this field, one of which is machine learning. Along with it, we can distinguish natural language text processing, virtual assistants and recommendation systems. It is like physical, economic or social geography.
We go down another step. A neural network is one of the subsections of machine learning, a mathematical algorithm with automated parameter settings. In total, there are four main subsections (methods) of machine learning: classical, reinforcement, ensemble, and neural network methods. Think of it as the geography of the oceans in the world physical geography section.
And where to put the robots in this case? Chatbots , robots, machine translators, scanners – all this is the end result and presentation format of AI technology.