Is the development of machines capable of human-like thought and learning a boon to society, or does it pose a risk to our very existence?
Artificial General Intelligence (AGI) also commonly known as Strong AI or Deep AI is basically the hypothetical intelligence of machines.
Key aspects |
Narrow AI ( common form of AI) |
AGI |
Scope of functionality |
They are designed and trained for specific, singular or limited task such as image recognition, natural language processing, playing games or autonomous driving. |
It aims to possess a broad range of cognitive abilities, similar to those of humans allowing them to perform wide variety of tasks across multiple domains |
Level of generalization |
Their capabilities are limited to the specific context for which they are designed, and they cannot generalize their knowledge or skills beyond that context. |
AGI systems possess the ability to generalize knowledge, skills, and problem-solving approaches across different tasks and domains. |
Adaptability |
They require large amounts of labelled data and extensive training to achieve optimal performance within their predefined task. |
AGI systems exhibit greater adaptability and learning capabilities, enabling them to acquire knowledge and skills from diverse sources, learn new tasks with limited supervision, and apply their understanding to novel situations. |
Degree of autonomy |
It operate within well-defined parameters and rely on explicit instructions or algorithms to perform their tasks. |
AGI systems have a higher degree of autonomy, capable of making decisions, solving problems, and learning independently within a broader range of contexts |