What is Artificial General Intelligence (AGI), and why are people worried about it?
- May 6, 2024
- Posted by: OptimizeIAS Team
- Category: DPN Topics
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What is Artificial General Intelligence (AGI), and why are people worried about it?
Sub: Sci
Sec: Awareness of computer and AI
Context:
- In a recent interview, Sam Altman, CEO of OpenAI, expressed his commitment to invest billions of dollars towards the development of Artificial General Intelligence (AGI).
What is AGI?
- AGI refers to a machine or a software that can perform any intellectual task that a human can do.
- This includes reasoning, common sense, abstract thinking, background knowledge, transfer learning, ability to differentiate between cause and effect, etc.
- AGI aims to emulate human cognitive abilities such that it allows it to do unfamiliar tasks, learn from new experiences, and apply its knowledge in new ways.
How is AGI different from AI we already use?
- The main difference between AGI and the more common form of AI, also known as narrow AI, lies in their scope and capabilities.
- Narrow AI is designed to perform specific tasks such as image recognition, translation, or even playing games like chess—at which it can outdo humans, but it remains limited to its set parameters.
- On the other hand, AGI envisions a broader, more generalized form of intelligence, not confined to any particular task (like humans).
Idea of AGI?
- The idea of AGI first emerged in the 20th century with a paper written by Alan Turing, widely considered to be the father of theoretical computer science and artificial intelligence.
- In ‘Computing Machinery and Intelligence’ (1950), he introduced what is now known as the Turing test, a benchmark for machine intelligence.
How can AGI help humanity?
- AGI has innumerable positive implications.
- For instance, in healthcare, it can redefine diagnostics, treatment planning, and personalized medicine by integrating and analyzing vast datasets, far beyond the capabilities of humans.
- AGI could automate various processes and enhance the overall decision-making, offering real-time analytics and market predictions with accuracy.