Artificial General Intelligence (AGI) refers to a type of AI that has the ability to understand, learn, and apply knowledge across a wide range of tasks at a level comparable to human intelligence.
AGI is a theoretical concept that aims to create machines capable of performing any intellectual task that a human can do. It is used in discussions about the future of AI and its potential impact on society.
The development of AGI involves creating systems that can generalize knowledge and skills across different domains, rather than being specialized in a single task. This requires advancements in areas such as machine learning, cognitive science, and neuroscience.
For example, one system would be able to perform tasks such as language translation, medical diagnosis, and playing complex games with human-like proficiency.
AGI is often contrasted with Weak AI, which is designed to perform specific tasks. The pursuit of AGI raises important questions about safety, ethics, and the potential consequences of creating machines with human-level intelligence.
Understanding and researching AGI is essential for preparing for the future of AI and ensuring that its development aligns with human values and societal goals.
- Related terms
- Human-level Performance Benchmarks Alignment Weak AI