Artificial intelligence is the most widespread technical field in our time and began to deepen in all areas without exception is the area on which the future is built.

The most advanced AI technology to date is Deep Learning, a technology in which scientists teach machines by feeding them with various types of data. Over time, the machine becomes capable of making decisions, solving problems, Other types of tasks themselves based on the data set given to them.

But it is amazing that deep learning has reached the field of medicine and disease treatment, and has become capable of diagnosing deadly diseases. This is the advanced artificial intelligence algorithm known as the Deep Patient used by Mount Sinai College, a medical school in the United States, In the city of Manhattan in New York State.

Dr. Joel Dudley , Professor of Genetics and Genomics and Director of Biomedical Information at the College, said:

The Deep Patient algorithm was fed to more than 700,000 patients, including data from physician visits and patient examination results. When the team tested the artificial intelligence algorithm that was very accurate in predicting disease based on patient records, Whether a person is susceptible to schizophrenia or other psychiatric disorders in the future.

Dr Joel Dudley, the research team leader, said they can build advanced models of artificial intelligence but can not predict how they work. The most powerful AI machines are no longer based on commands from humans, but machines are able to create their own algorithms Based on the data given to them and desired outputs, short machines in the future will be able to program themselves.

Researchers at Mount Sinai College say they receive a unique collaboration from the internal artificial intelligence system known as the Deep Patient. They have informed him of the risk factors for 78 different diseases by providing electronic health records from 700,000 patients, The results are amazing since they found it gives more results than desired.

While not a person, Deep Patient is more than just a program. Like other advanced artificial intelligence systems, it learns, makes independent decisions, and makes it transform from a technological performance used to help a colleague.

This was not surprising because the same Alentjh had reached the study carried out by the company about Accenture vision technology.

Four of the five executives surveyed believe that over the next three years, artificial intelligence will work alongside people in their institutions as a work colleague, collaborator, and trusted consultant, reaching 81%.

Many organizations now consider artificial intelligence to be the overall face of the business. It deals with everything from initial interactions via chat, voice, and e-mail to serving customers through direct customer interaction.

But any company looking to take advantage of AI can also recognize its impact, just as parents hope to raise children who act responsibly and communicate effectively. Companies also need to upgrade their artificial intelligence systems to act as business representatives to reflect company and community standards of Responsibility, justice and transparency.

In the beginning, artificial intelligence systems relied on data analysis programs and statistics, but with advances in deep learning and the development of deep neural networks that feed artificial intelligence systems, artificial intelligence systems now give something that the program does not have: the ability to do what is not is expected.

It means that companies need to change their way of seeing artificial intelligence systems – from the systems they program, to the systems they learn. Learning does not mean teaching someone to do one task, but learning more deeply how to deal with problems and solve them. This is how companies must take artificial intelligence systems.

Therefore, the security of artificial intelligence requires many of the same challenges that human education and growth face. This includes things such as promoting understanding of right and wrong and what it means to act responsibly, transfer knowledge without bias, build self-reliance and emphasize the importance of cooperation and communication with others.

For example, Google recently launched open source databases to help companies learn artificial intelligence. The Google Voice Assistant experience was to understand how people talked. The company recorded 65,000 audio tracks from thousands of different people who speak different languages ​​to create artificial intelligence databases to understand only 30 words in one language. The result was that this training metric enabled voice recognition from Google to reach 95 percent accuracy.

As artificial intelligence becomes a more stable and widely integrated domain in society, it will have a direct impact on everything from financial decisions to health, criminal justice and beyond. As these impacts expand, business responsibilities will grow around the development of artificial intelligence systems.

Corporate leaders will accept the challenge of advancing artificial intelligence and recognize its role and impact in society. By doing so, they will set standards for creating a responsible artificial intelligence system while building trust with customers and employees who are concerned about obscure smart systems that make decisions that directly affect their lives, This will be a crucial step in the integration of artificial intelligence into society, to show us the so-called Citizen AI, which shares and interacts with everything in the community, for example, with the robot Sophia.