Most of us think that artificial intelligence is replacing humans, and it will become so advanced that the technology will do anything that humans can. Yet, there are limits in reality. Artificial intelligence can do enough, but there are things that AI cannot perform.
The human-like creature emerged when the scientists understood that the machine is more than merely a computing system after WWII. They had an idea that humans and machines can go together and that machines can do things like humans.
Regardless, they had the right ideology which paved a way for advanced robots, even in the 21st century artificial intelligence cannot perform some tasks. Here in this article, we will discuss what are the things where artificial intelligence cannot compete with humans.
Artificial Intelligence and Puzzles
AI systems are popular for solving difficult problems with the help of accurate data. Whereas, humans take more time to solve the same problems. Machine intelligence can figure out the solutions in real-time. However, when it comes to answering puzzling questions, artificial intelligence cannot compete with humans.
Resolving a complex aptitude problem with an algorithm is considered Hilbert’s 10th problem. A Russian mathematician showed that there is no common method to answer it in 1982.
Artificial Intelligence and learning through experience
Humans learn from their experiences in life. And learning is a continuous process throughout life. Every bad or good experience in daily life improves the knowledge of a human. But, unfortunately, this is not the case with machine intelligence. They are fed with fixed data rather than being taught. Thus, there is no learning process from the experience.
Artificial Intelligence and decent judgments
Although the machine can obey the law faultlessly, still they might not be rational. Humans can make quick moral decisions based on the circumstances and their analysis, but AI systems can’t do the same. Artificial intelligence will make the decisions according to the set rules.
Artificial intelligence and software writing
Software writing needs very much understanding of the actual world. Later, it also requires the ability to transform those complexities into rules. Regardless that artificial intelligence has brought advancements and more power to computing, it can’t understand and write software.
Artificial Intelligence and the willpower
We, humans, have invented many things, and still, we continue inventing things as per our needs. We can defeat many unfavorable conditions either internal or external with our willpower. However, machine intelligence can’t invent anything of their will. They may look like humans, but they don’t have the willpower of humans.
AI and understanding the causes and effects
This is a genuine issue for AI. Causal thinking is a fundamental piece of human insight, forming how we sort out and connect with our reality: we realize that dropping a container will make it break, that drinking espresso will cause us to feel stimulated, and that practicing consistently will make us better.
Until AI can reason causally, it will have inconvenience completely figuring out the world and speaking with us based on our conditions.
Artificial intelligence and Common sense
“The absence of common sense prevents an intelligent system from understanding its world, communicating naturally with people, behaving reasonably in unforeseen situations, and learning from new experiences,” says DARPA’s Dave Gunning. “This absence is perhaps the most significant barrier between the narrowly focused AI applications we have today and the more general AI applications we would like to create in the future.”
One method to instill common sense into AI systems is to manually create a catalog of all of the daily facts about the world that an intelligent system should recognize. Many scientists have tried this approach several times in the past. The most breathtakingly aspiring of these efforts is a project called Cyc. This project started in 1984 and continues till now.
Artificial intelligence and Reason Morally
The test of building AI that offers, and dependably acts as per, human qualities is a significantly mind-boggling element of creating vigorous man-made brainpower. It is alluded to as the arrangement issue.
How might we expect to fabricate AI systems that act morally, that have an ethical compass predictable to our own?
The short response is that we don’t have the foggiest idea. In any case, maybe the most encouraging vein of work on this theme centers around building AI that gives its all to sort out what people esteem because of how we act, and that then conforms to those qualities.
Conclusion
In certain conditions, AI can decide more prevalent results than human-based choice complexes. This depends on its capacity to distinguish complex examples in a lot of information. Be that as it may, the capacity of artificial intelligence to freely perform complex disparate reasoning faces restrictions. So, artificial intelligence is not smarter than humans, and things that humans can do, artificial intelligence can’t do.