The technology of AI has been categorized as narrow ai vs general, and super artificial intelligence. In this blog, we will try to learn more about these types of artificial intelligence.
Artificial intelligence (AI) is a technology that imitates human intelligence to carry out various activities. AI uses Machine Learning (ML), deep learning (DL), and neural networks to reach higher levels.
Narrow Artificial Intelligence (Narrow AI)
Narrow artificial intelligence can also be defined as weak artificial intelligence, which targets the performance of a specific task. It is particularly programmed to perform a single task, such as face recognition, weather checking, playing chess, etc.
Narrow Artificial Intelligence mimics human intelligence based on conditions, parameters, and contexts. Since they pull information from a particular dataset, they can carry out only the duties for which they have been programmed.
Every ML-enabled system we see today largely depends on narrow artificial intelligence. Some examples include Google Translate and Assistants, Siri by Apple, and virtual assistants.
Narrow intelligence-based system can process and complete the assigned task quicker than a human being, which can enhance the productivity and efficiency of the organization.
But it has a limitation: It cannot respond to abstract questions that demand detailed responses. It can provide exact information only for non-abstract questions.
For instance, if they are asked an abstract question like, “What would be the essence of life?” it can only give them a vague answer, and further, it will provide them with links on the internet related to the question.
Examples of Narrow artificial intelligence
- Disease diagnosis: The potential of Narrow AI is harnessed in the health sector for disease diagnosis. Narrow Artificial Intelligence algorithms can process a large amount of data and analyze it so fast. Thus, health professionals can focus on providing primary care by leaving the analysis to a narrow artificial intelligence system.
- Facial recognition: Social media platforms like Facebook and Google identify people through facial recognition, which works based on narrow artificial intelligence.
- Virtual assistants: Siri by Apple, Alexa by Amazon, Cortana by Microsoft, and many other virtual assistants work on a narrow AI system.
- Autonomous vehicles: autonomous or self-driving cars are another example of the application of narrow AI.
General artificial intelligence (AGI)
While narrow AI is considered the technology in use today, general AI is said to be the next step in the direction of the future of AI technology. General AI is also referred to as strong AI, which can perform any intellectual task like a human being.
General artificial intelligence-enabled bots can mimic intellectual behavior with the capacity to learn and resolve any issue.
Examples of the capabilities of General AI
- Imagination: General AI can theoretically be able to read and understand human-generated code and make it better.
- Natural Language Understanding (NLU): A human language can be properly understood only through its context. AGI systems have a sense of this understanding through NLU.
Super-artificial intelligence (SuperIntelligence)
Super AI is another category of AI technology that exceeds human intelligence and ability. It can be the best at everything, whether it is mathematics, science, medicine, etc.
Super AI-enabled bots can even move beyond the highest intellectual capacity of a human being. For the time being, it is a distant reality, and its potential has yet to be harnessed.
Even if super AI is hypothetical, its problem-solving skills and decision-making capability are expected to outpace human beings.
To learn about it you can check out this amazing book by Nick Bostrom: SuperIntelligence.
Key Similarities between Narrow AI, General AI, and Super AI
AI-enabled machines learn from past experiences and perform human-like tasks with better productivity and efficiency. So, it has been widely employed in the health sector, banking, engineering, etc.
While narrow AI is currently dominant, general AI is expected to evolve, and there is considerable interest in super AI. Since all three categories have emerged from the same root, we can see similarities between all of them.
- Ability to predict and adopt
These three categories of AI detect patterns in the data by using algorithms. These patterns can then be utilized by three categories of AI to understand and respond to their respective tasks. The analyzed data is again used for making predictions.
- Decision-making capacity
Narrow AI, at present, makes its own decisions based on programmed data. Likewise, AI solutions will have a wider scope in the coming future with the help of human-like general artificial intelligence and super artificial intelligence. With respect to speed, General AI and Super AI are quicker and faster than human beings.
- Imitate human intelligence.
AI systems simulate human intelligence to resolve issues. They can understand the work, respond properly, and draw inferences as humans do.
This mimic of human intelligence will only continue to grow with the help of the more sophisticated versions of general AI and super AI.
Differences between Narrow AI vs General AI, and Super AI
While we have familiarized ourselves with the application of narrow AI in our daily lives, general AI and super AI are waiting to harness their potential in the not-so-distant future.
Although these three categories of artificial intelligence have many commonalities, they also have many significant distinctions.
Narrow AI focuses on a single task and is constrained by constraints to not go beyond that, leaving it unable to solve unfamiliar problems. But general AI can manage to perform a broad range of tasks by using humanlike cognitive capabilities. Super AI can be able to outperform human intelligence.
As narrow AI uses predefined behavior models, general AI learns from its surroundings and responds to them itself. Super AI develops self-awareness by learning on its own.
Narrow AI analyses data by using ML, Natural Language Processing, Deep Learning, and Artificial Neural Networks. General AI uses an advanced version of these technologies for analysis. Super AI may use the human brain as a model in order to understand and interpret human emotions and experiences.
- Russell, Stuart (Author)
- English (Publication Language)
- 352 Pages - 11/17/2020 (Publication Date) - Penguin Books (Publisher)
Summary of Narrow AI vs General AI and Super AI
Companies can use artificial intelligence to stay ahead in the competitive field of IT. As this technology is evolving quickly, people in the field must be updated on its developments.
While it is important to understand the applications of narrow AI, which is being used in our daily lives, it’s critical to comprehend ideas like general AI and super AI since they might one day become reality.
To learn about the topics of General AI and Super AI a bit more, and also consider the possible dangers, and its shortcomings check out the following book reviews:
As always, we hope you liked our article on narrow ai vs general ai and super ai, thank you very much for reading How to Learn Machine Learning and have a fantastic day!
Mubarak Musthafa: Mubarak is the Vice President of Technology & Services at ClaySys Technologies. He works with a wide variety of technologies such as artificial intelligence, SharePoint, .NET, Azure, AWS, and more.