Artificial Intelligence, A Look To The Future

Artificial intelligence, a look to the future

In recent years there has been a great advance in what artificial intelligence refers to this text will talk about its evolution, applications, social impact and the risk it can have, but to be able to talk about this we must know what it is, artificial intelligence, is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning and self-correction.(Margaret Rouse, S.F).

This will be done by various experiments in which we will test this type of intelligence in various fields we will also see the impact that it can have both on the scientific community and in everyday life in addition to how it can adapt to the needs covering and satisfying most of these.

Although there are not only advantages with this type of technology there are also disadvantages such as losing control over this due to its great development and evolution and representing a risk towards the community.

Let’s continue with an example of the great advance of this, Alphago, a computer program that learned to play GO, a board game with more than 3000 years old, where he learned for himself, the techniques to play as a teacher Only by playing millions of games against the same program and drawing conclusions.

Silver’s latest creation is Alphazero, who learns to play Chinese chess: Shogi, traditional chess and GO, only practicing against himself. After millions of practice matches, Alphazero has been able to discover the strategies that human beings have been understood.

Now let’s talk about the applications that could have both in the scientific community and in society:

1. Process automation. This is another field in which AI becomes very important, helping to customize more and better communications to customers and potential. In this case, the use of automation tools that collect data are very necessary
2. Personalized interaction. Artificial intelligence has propelled the creation of well -known chatbots, these have demonstrated in recent times, being increasingly used by large companies with a maximum customer service level. It is currently working to get chatbots to offer more emotional responses, managing to empathize with the user, in order to offer a much more human and real service, and, therefore, more satisfactory.
3. Content creation. There are artificial neuronal networks capable of replicating the basic synaptic structure of a human brain. Through these networks in their most advanced phases, they have managed to create original pieces of music and painting, of excellent quality.

There was already talk of its progress and possible future applications will now be announced about the impact it can cause on society:

AI is essential for some of the most successful companies in history in terms of market capitalization: Apple, Alphabet, Microsoft and Amazon. Together with information and communication technology (ICT) in general, AI has revolutionized the access of people around the world to knowledge, credit and other advantages of contemporary global society. This access has contributed to a massive reduction in world inequality and extreme poverty, for example, by allowing farmers to know fair prices and the most profitable crops and give access to precise weather predictions (Aker and Mbiti, 2010).

AI benefits from decades of regulatory policy: so far its deployment and investigation has been largely subject to increasing regulation and a massive investment by the Government and other capital investors (Lishoge and Bryson, 2017; Miguel and Casado, 2016; Technology Council Committee On Technology, 2016).

Any AI policy should be developed and implemented taking into account the importance of also respecting the positive impacts of technology.

No one talks about introducing a new regulation for AI, since AI is already integrated into a regulatory framework (Lishoge and Bryson, 2017; O’Reilly, 2017). What is discussed is whether this framework must be optimized.

So far and mostly, the regulation has been constructive, so that governments provided huge resources to companies and universities that developed AI. Even fundamental and well -designed regulatory restrictions can lead to more sustainable and even faster growth.

That said, academics, technologists and the general public have raised several concerns that could point to a need for subregulation or specific restrictions. Smith (2018), president of Microsoft, said recently:

[Intelligent] 3 technology raises issues that appeal to the protection of fundamental human rights, such as the right to privacy or freedom of expression. These issues increase the responsibility of technology companies that create these products. In my opinion, they also demand a reasoned government regulation and the development of norms on acceptable uses. In a democratic republic, nothing can replace decision -making by our elected representatives in the face of issues that require a balance between public safety and the essence of our democratic freedoms.

In this section I classify the perceived risks based on the policy requirements that can generate. I also analyze whether it is false problems, ICT problems or more general technology or specific AI problems and, in each case, I propose a possible remedy.

And to conclude with this research we will talk about its risks:

The capacity of the machines to extract and analyze information can be negative. Since someone malicious with access to this information can harm the scope of finance, for example. That is, quiet, the artificial intelligence machine will not devalue the currency of your country or bring a whole world economic crisis, but the human that controls it if it can do it.

• Artificial intelligence is a threat when it comes to autonomous weapons. As would be a welded robot, who does not distinguish between innocent and enemy.
• The lack of international control on how and in what areas to use the advances of artificial intelligence. Although, renowned scientists have already signed proposals that prohibit weapons that attack objectives without the control of a human.
• Loss of employment due to machines that automate work. Problem that is avoided by improving the education class that facilitates the transformation of profession.

So with this we can conclude that artificial technology has both advantages and disadvantages and that its progress has been exponential to understand how close we are to be able to do things that believed themselves impossible such as, learning to play various board games self-educating learning from theirerrors, various applications were also seen and the social impact of these can lead to.

Although as anything if a misuse there is a great risk for both those who use it and the community in general, with this we can conclude that artificial intelligence is not good or bad, but based on research we can conclude that thisIt would represent a great advance for humanity facilitating various tasks that are currently a great complexity and not only doing it better but also faster without having the disadvantages of a human being.