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Does artificial intelligence serve or threatens mankind? — Conclusion

The idea of ​​creating machines that will be able to perform various tasks intelligently was the central preoccupation of computer science researchers who ventured to research artificial intelligence throughout the second half of the 20th century.

Today, research in artificial intelligence is focused on expert systems, translation systems in limited domains, the recognition of human speech and written text, automatic proofers of the theorem, as well as the constant interest in creating generally intelligent, autonomous agents.

With the advent of modern science, Artificial Intelligence research is developing over two basic directions: psychological and physiological research of the nature of the human mind, and the technological development of increasingly complex information systems.

In this sense, the term AI is initially attributed to systems and computer programs with the capacity to realize complex tasks, simulating the functioning of human thinking, although even today, is quite far from the goal.

Some areas of today’s information processing research are concentrating on programs that seek to train a computer to understand written and verbal information, create summaries, give answers to specific questions, or redistribute data to users interested in certain parts of that information.

Research has shown that while the problems of the structural logic of the language, or its syntax, can be solved by programming the appropriate algorithms, the problem of meaning, or semantics, is much deeper and goes towards authentic artificial intelligence.[1] The main tendencies today for the development of the AI system are the development of expert systems and the development of neural networks.

The functioning of human thinking is still not deeper known, for whatever reason, the information design of intelligent systems will be essentially incapable of presenting these unknown and complex processes for an even longer period of time.

In the domain of economics, analytics and decision-making, in one word of acquiring and using power, AI requires experts of superior knowledge, nothing less powerful equipment, and money capital, and it turns out that, in its full capacity, this tool is very expensive and available only to very wealthy individuals and companies.

These layers are available mainly through massive mobile applications devices that significantly simplify a whole range of jobs, starting from the fast-tracking of the desired product or service, a much shorter time to make a purchase decision and the shortest route to reach these products, whether it’s about physically going to the point of sale or purchasing over the Internet.

True, the ordinary world is now incomparably more informed about the tiniest details of a tragic event — a terrorist attack, a traffic accident, a war conflict — as well sporting events, scandalous acts of public figures and political affairs.

Then, indeed, “history was made.” Because one is to learn a supercomputer to play chess, and something completely different to understand the complex, difficult and complicated sets of sentences of an English language full of synonyms, slang, and logic, and based on that the correct answer.

Thus, such a gruesome AI system (artificial intelligence) can be applied in many business areas, from the smallest, such as the culinary industry to many advanced ones, such as time analysis and forecast and flight control.

He will analyze, instead of you, the way they came to your site, how long they stayed, from which countries (after registration), to compare with the culture and habits of people from those countries, and who knows what else, and that In the end, you can report how to “approach” and how to sell it to him.

The rapid growth of processor power and memory capacity of computers during the eighties and nineties has increasingly reduced the difference between top chess players and the best systems.

Unlike chess, which is a game in a virtual world with a limited set of rules, dealing with problems from the physical world is much more complex: each rule has many exceptions, and often unforeseen situations occur on the way to the desired goal.

Tests on the application of artificial intelligence that has been implemented in over 13 areas show that 86 percent of leading business people in banking already benefit from this technology.

If the bank’s customers are satisfied that the AI ​​system saves time, directing them to a real financial product, this suggests that the application of advanced technology in business is successful.

The effectiveness of the application of artificial intelligence in the financial sector over a longer period of time can be seen only through a noticeable improvement in the experience of the bank’s clients and the ability of banking officers to offer customers better services.

This modern world where everything is powered by machines and a small number is representing human power, we rely on machines to do everything for us, which could lead to terrible human perspectives of life on this earth.

Robots will quickly take over a large number of jobs.[3] The question is what kind of fate awaits those people who will lose their jobs because of smart machines and whether they will be able to adapt and learn from the beginning some completely new digital interests.

What People Get Wrong About China and Artificial Intelligence

China is close to becoming the world's leader in artificial intelligence, according to conventional wisdom.

No one bothers to mention that researchers outside of China more frequently cite U.S. patents and papers in their own studies, indicating that the Chinese patents and papers may be of lesser quality, Ding says.

Amazon said it keeps the transcripts and voice recordings of people’s interactions with the Alexa voice-activated digital assistant indefinitely and will only delete the information if users manually delete it themselves, CNET reported.

Because of the outage, some Facebook users may have seen words like “people smiling, people dancing” or other “tags” in place of their personal photos, the report said.

Intel said it’s collaborating with Chinese search company Baidu to develop a specialized computer chip to speed the process of training deep-learning systems.

CNN reported about research from MIT and the Qatar Computing Research Institute that described an “AI system that can look at a photo of pizza and deduce what ingredients should go on which layer of the pie.” The challenge was for the researchers to create an A.I.

“This response aligns with research we conducted last year showing that oncologists need extra hours to complete work in the electronic medical record on a weekly basis and the EMR is one of the top factors contributing to stress at work,” wrote Feinberg.

The researchers write that in order for their techniques to be used more widely, “they must be trained on adequately diverse datasets that reflect the diversity of the populations on which the model might potentially be deployed.” A.I.-powered stock portfolios.

The researchers claim that their techniques proved “better than the Dow Jones Industrial Average and the traditional portfolio allocation strategies.” Facebook and Google’s Data-Control Tactics Aren’t Just a Privacy Issue Anymore – By David Meyer iOS 13 Will Use AR Magic to Fix the iPhone’s Most Annoying FaceTime Flaw – By Xavier Harding White House Social Media Summit: Critics of Facebook, Google, Twitter Invited to Sound Off – By Alyssa Newcomb Jumping to automated conclusions.

Instead, the authors believe that any job loss due to automation “will depend on many other things, such as cost, regulatory concerns, political pressure and social resistance,” according to the article.

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