Artificial Intelligence (AI) has progressed from a concept of science fiction to a fact. Self-driving vehicles, smart virtual assistants, chatbots, and surgical robots, to name a few, are among the intelligent devices available today.
Artificial Intelligence vs. Human Intelligence has sparked a debate after AI became a popular technology in today’s industry and a part of the average person’s everyday life. Though Artificial Intelligence aims to design and construct intelligent machines that can perform human-like tasks, one can’t help but wonder if AI is sufficient in itself.
Perhaps the greatest fear is that AI will eventually “replace” humans and outsmart them. But this isn’t completely accurate. Despite the fact that AI has progressed to the point that machines can learn from experience and make intelligent decisions, AI cannot work optimally without relying on innately human characteristics such as human intuition.
Let’s take a closer look at the Artificial Intelligence vs. Human Intelligence debate to see how they differ and how they interrelate.
The following is a side-by-side analysis of Artificial Intelligence and Human Intelligence:
Nature
Artificial Intelligence aims to create computers that can replicate human behavior and perform human-like acts, while Human Intelligence aims to adjust to new situations by combining various cognitive processes. Machines are mechanical, whereas the human brain is analogous.
Functioning
Humans depend on the brain’s processing power, memory, and ability to thin, while AI-powered machines rely on data and precise instructions fed into the device.
Learning power
Learning from multiple events and past experiences is at the heart of human intelligence. It’s all about learning from one’s mistakes by trial and error in one’s life. Human intelligence is described by intelligent thinking and intelligent behavior. Artificial Intelligence, on the other hand, falls short in this regard – computers cannot reason.
They can learn from data and from constant training, but they will never be able to think as humans do. While AI-powered systems are capable of performing basic tasks well, learning a completely new set of functions for a new application area can take years.
What AI cannot do without the “human” factor
The debate of artificial intelligence vs. human intelligence isn’t a rational one. Given that AI has aided in the development of intelligent machines that can outperform humans in certain areas (for example, DeepBlue and AlphaGo), they still have a long way to go before they can match the human brain’s ability. Despite the fact that AI systems are programmed and equipped to imitate and replicate human actions, they are incapable of making reasonable decisions.
The ability of AI systems to make decisions is largely focused on events, the data they’ve been trained on, and how they’re applied to a specific case. Since AI machines lack common sense, they are unable to comprehend the idea of “cause and effect.” AI machines cannot understand the concept of “cause and effect” simply because they lack common sense. “No matter how good your models are, they are only as good as your data…”, Nick Burns, an SQL Services Data Scientist, says in this context.
Humans have a one-of-a-kind ability to learn and apply what they’ve learned using logic, reasoning, and comprehension. Real-world situations necessitate a human-specific holistic, logical, rational, and emotional approach.
Wrapping up
AI is still in its early stages of growth. Training AI systems take a long time, which is impossible to do without human intervention. Whether it’s self-driving cars and robots, or advanced technology like image processing and natural language processing, all rely on human intelligence.
AI is undoubtedly a vital tool transforming the industry, and automation, together with intelligent workflow, will be the standard across all sectors in the days to come. Although AI has quite eloquently mastered the skill to mimic human intelligence, it still cannot replicate the though process of a human.
Since scientists and researchers still don’t understand how the human thought process works, it is doubtful that we will be able to build computers that can “think” like humans anytime soon. To summarize, the human ability would be the primary determinant of AI’s future. Human intelligence and cognition will supplement it.