What is AGI

8 April 2023


What is Artificial General Intellegence and what can it do for us?

Artificial General Intelligence (AGI) is a new concept in AI that replicates human-level cognitive abilities. Here we will look at what this new technology is and what it can do for us. AGI has the potential to revolutionize various fields, but developing safe and beneficial AGI systems requires addressing many risks. Is the reward worth the risk? Lets see.

What is AGI?

AGI is an AI system that can perform intellectual tasks like humans. This includes reasoning, learning, problem-solving, and adapting to new situations. Unlike conventional AI systems, which perform a single task, AGI is designed to be adaptive, able to learn from experience, and apply learning to new tasks and environments. As of 2021 there are no known AGI systems.

How is AGI different from AI?

  1. AGI should be able to perform any intellectual task that a human can do. This means that it is not limited to a single task or skill, and it can adapt to new situations and solve problems it encounters.
  2. Narrow AI systems are designed for a specific purpose. They are optimized for that task and cannot easily change to fulfil other tasks or adapt independently to different situations. This is why AGI is presented as a big step forward for artificial intelligence. AGI systems are not pre-programmed to perform a specific task.

Why is creating AGI so difficult?

  1. Designing a system that learns and generalizes from experience is a challenge. This requires developing algorithms that learn from a range of data and experiences and can generalize to new situations.
  2. Making sure the system is safe and secure is another challenge. AGI systems can have significant impact on society, and it is important to ensure that they are designed with safety and security in mind.

In 2016 OpenAI conducted a survey to see how far AI researchers think AGI is, 80% think that it is more than 10 years away.

What can AGI be used for?

  1. Healthcare

    AGI can analyze medical images, diagnose diseases, and develop personalized treatment plans, improving patient outcomes.
  2. Transportation

    AGI can improve the safety and efficiency of self-driving cars, reducing accidents caused by human error and easing traffic congestion.
  3. Education

    AGI could develop personalized learning plans for students, adapting to their individual needs and helping them to learn more effectively and efficiently.

Risks of AGI

  1. Control

    One of the largest risks with AGI is losing control over the system. If an AGI system becomes more intelligent than humans, it may be difficult to predict or control its behaviour, leading to unpredictable or dangerous outcomes.
  2. Job Displacement

    AGI has the potential to automate many jobs, leading to job displacement as people are no longer needed to fulfil the task. This could lead to increased inequality and social unrest. Pew Research Centre found that in 2018, 62% of Americans believe that AI and robots will replace many jobs done by humans.
  3. Bias

    AGI systems like AI are only as unbiased as the data they get trained on. If the data contains biases, the system will also be biased, potentially leading to unfair or discriminatory outcomes.
  4. Ethical Concerns

    AGI systems may raise a host of ethical concerns, such as privacy, transparency, and accountability. It may be difficult to determine who is responsible if an AGI system causes harm.


In conclusion, AGI represents a major advancement in the field of artificial intelligence, with the potential to revolutionize many aspects of society. However, developing AGI systems that are safe, ethical, and beneficial presents significant challenges. These challenges must be addressed in order to fully realize the potential of AGI and avoid potential risks.


  1. Artificial General Intelligence (AGI)

    A type of AI that aims to replicate human-level cognitive abilities.
  2. Narrow AI

    AI that is designed to perform a specific task, such as image recognition or language translation.
  3. Machine learning

    A type of AI that uses algorithms and statistical models to enable computers to learn from data and make predictions or decisions.

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