Artificial Intelligence (AI) is the process by which computers and technology mimic human intelligence. Machine vision, speech recognition, natural language processing, and expert systems are some specific uses of AI. AI learning can be divided into three categories. “Narrow” learning is predicated on a limited number of tracks, “general” learning is predicated on human thought processes, and “super” learning is predicated on surpassing human capabilities.

Elon Musk has voiced his worries publicly about the possible risks posed by AI, warning that these risks may potentially result in the “destruction of civilization.” Specifically, Musk cautioned that the dangers of AI are greater than those of traditional technological mistakes, such as poorly designed airplanes or defective automobile manufacturing. A civilization-wide catastrophe could result from its potential for abuse, no matter how minor. However, let’s examine the fundamental types of AI to see why Elon Musk is worried about it.

There are 4 main types of AI  

(1) Reactive Machines: These machines are task-specific AI systems without memory. Because they employ search history or customer data to provide recommendations to the same customers, “machine learning models” are frequently “reactive machines.”

(2) Limited Memory: These machines are artificial intelligence (AI) systems, and their algorithms mimic how neurons in our brains cooperate, making them wiser the more data they are given to learn from. “Deep Learning” enhances other forms of reinforcement learning, including image recognition. Unlike “Reactive Machines,” “Limited Memory” AI can look into the past and track particular items or circumstances throughout time. The AI is then programmed with these insights so that it may make decisions based on both historical and current facts. However, with “Limited Memory,” this information is not stored in the AI’s memory as experience to learn from, unlike humans who may find significance in their achievements and shortcomings. As more data is used to train the AI, it gets better over time.

(3) Theory of Mind AI Machines: The first two types of AI machines that are in use today. “Self-Awareness” and “Theory of Mind” AI machines are the future of AI. AI devices may eventually be able to comprehend intents and forecast human relationships according to the “Theory of Mind.”   

(4) Self Awareness AI Machines: Designing systems with a self-conscious awareness of their existence would be the pinnacle of artificial intelligence development. There isn’t any AI like this yet. This goes beyond AI’s “Theory of Mind” and emotional comprehension to include self-awareness, emotional prediction, and state of being. Since there is still much to discover about the intelligence of the human brain and how memory, learning, and decision-making function, we are a long way from “Self-Aware” AI.

AI’s main Issues: (1) AI Reliability; (2) How AI will be used, (3) Ethical conundrums that humans will face, (4) The risks associated with AI.

In conclusion, having a robot machine that has conscious, that is, it operates under the “Theory of Mind” and “Self-Awareness” then we will be talking the development of digital superintelligence which will result to humans inability to tell if the person across them is a computer or a human, that is an entity that talks like a human, makes mistakes like a human, and you literally just can’t tell the difference. Then this machine most definitely has developed human consciousness.