You hear a lot about artificial intelligence these days. Like many technological developments in history, advances in artificial intelligence have fueled fears that human labor will become obsolete.

Human brain or AI

The human brain has billions of neurons that are connected in fascinating and complex ways, but with the state of the art, there are no simple connections that follow simple patterns. AI requires learning that involves vast amounts of data, which calls into question the availability of the right types of data and underscores the need for categorization and privacy and security issues of such data. Human judgment is relevant not only to tasks at all levels but also across sectors.

From smartphones to chatbots, artificial intelligence is omnipresent in our digital lives. The dynamics of artificial intelligence are growing, thanks in part to the huge amounts of data computers collect every day about our preferences, purchases, and movements. Specialists in artificial intelligence research use this data to train machine learning to predict what we want.

Can AI overtake humans in near future?

By 2030, it is estimated that one in ten cars will be self-driving. The key to putting them on the road is to develop computer vision systems that can detect obstacles and avoid accidents, at least for human drivers. Neural networks, a set of AI algorithms inspired by the neurological processes in the human cerebral cortex, will form the brains of self-driving cars.
In recent years, machine learning seems to have embarked on a new path. Algorithms are now free for human programmers to train them on huge datasets, producing results that shock even optimists in the field.

As we enter the third age of computer technology, in which no single industry will establish itself in AI systems, we will need a new mix of highly skilled knowledge workers to fill jobs that never had to exist. We will need farmers who know how to work with big data.
This is all speculation, of course, but that is the point. Our ability to build artificial intelligence contradicts our ability to understand and align it.

There has been much talk that AI’s reliance on big data could have a significant impact on privacy. Think of Cambridge Analytica’s Facebook hoax or Amazon’s Alexa eavesdropping, just two of many examples of technology gone wild. Privacy advocates fear that the unregulated use of big data in AI tools could lead to several rights violations, including the right to a fair trial.

“The measure of intelligence is the ability to change”.

Albert Einstein

AI systems that automate parts of the medical imaging and analysis process are key to relieving the burden on specialists. By defining AI’s goal as finding programs that can produce intelligent behavior, researchers thought that evolutionary programming could be used to determine whether these programs are programmable. Reality is more complex, and evolutionary programming has many limitations, but it has produced excellent results in solving optimization problems.
According to Searle, weak AI involves developing programs that can perform specific tasks without requiring a state of mind. The ultimate goal of machine-typical general intelligence similar to humanistic intelligence is one of the most ambitious ever proposed in science.