Many of you do not know the concept of artificial intelligence (AI). As an example, when the top 1,500 business leaders in the United States in 2017 were asked about AI, only 17 percent said they knew it. Many of them were unsure of what it was and how it would affect their particular companies. They understood that there was great potential to change business processes, but they did not specify how AI could be distributed to their organizations.
Despite the lack of widespread familiarity, AI is a technology that transforms all spheres of life Our hope for this comprehensive review is to explain AI to an audience of policymakers, visionary leaders, and interested viewers, and to show how AI is already changing the world and raising important questions in society, the economy and governance.
In this article, we discuss applications for financial novels, national security, health care, criminal justice, transportation and smart homes, and address issues such as data access issues, algorithmic bias, AI ethics and transparency, and the legal responsibility for AI decisions. We compare U.S. regulatory mechanisms with the European Union, and close by making many recommendations for getting more out of AI while protecting key human values.
To maximize the benefits of AI, here are some steps forward:
- Promote greater access to data for researchers without compromising the privacy of users,
- have invested heavily in government in anonymous AI research,
- create an AI advisory committee to make policy recommendations,
- control broader AI principles than specific algorithms,
- take serious complaints and therefore AI does not repeat historical injustices, injustices, or discrimination of data or algorithms,
- maintain human oversight and control systems, and
- punish harmful AI behavior and promote cyber security.
I. HEALTHY OBSERVATION QUALITIES
Although no definition has been agreed upon, AI is generally thought to refer to “machines that respond to innovation in line with traditional human responses, empowered by human reasoning, judgment and purpose. According to researchers Shubhendu and Vijay, these software programs "make decisions that often require a [human] level of expertise" and help people anticipate problems or face problems as they arise. Therefore, they are deliberate, intelligent, and flexible.
Determination
Artificial intelligence algorithms are designed to make decisions, usually using real-time data. They were not like artificial intelligence that could only respond or be made in advance. Using sensors, digital data, or remote input, they gather information from a variety of sources, analyze information at once, and act on the information contained in that information. With major advances in storage systems, processing speed, and analysis techniques, they are able to become more complex in analysis and decision making.
Artificial intelligence is already changing the world and raising important questions in society, the economy, and governance.
II. APPLICATIONS IN DIFFERENT PLACES
AI is not a vision for the future, but there is something that exists today and that is integrated and distributed across various fields. These include sectors such as finance, national security, health care, criminal justice, transportation and smart cities. There are many examples where AI has already made an impact on the world and expanded human capabilities in important ways.
National security
AI plays a major role in defending the country. Through its Project Maven, the U.S. military is deploying AI “to monitor large amounts of captured data and videos with caution and to warn human analysts of patterns or where there is unusual or suspicious activity.” According to Deputy Secretary of Defense Patrick Shanahan, the goal of emerging technologies in the region is to meet the needs of our warriors and to increase speed in technological advancement and procurement.
The huge data analytics associated with AI will profoundly affect intelligence analysis, as large amounts of data are filtered in real time — if not at the end in real time — thus giving management and their staff the level of intelligent and productive analysis unprecedented. Control and control will be equally affected as human managers pass a certain process, and in special cases, important decisions on AI platforms, greatly reduce the time associated with the decision and the next action.
Ultimately, war is a competitive process of time, in which the party is able to decide very quickly and move very quickly to the killing will become more common. Indeed, intelligent systems, integrated into AI control and support systems, can move decision-making and decision-making at a much higher speed than traditional combat methods. This process will be so rapid, especially if it is accompanied by automatic decisions to implement intelligent and efficient weapons systems with deadly consequences, that a new name has been put together specifically to embrace the speed at which the war will be fought: a powerful war.
Health care
AI tools help designers improve computer processing in health care. According to its developers, the key is labeling and identifying small lesions or potential growth. People can do this, but radiologists charge $ 100 an hour and can carefully read only four images per hour. If there were 10,000 images, the cost of this process would be about $ 250,000, which is very expensive if done by humans.
What can be learned in depth in this case is computer training in data sets to learn what a seemingly abnormal lymph node looks like. After doing so through imaging exercises and respecting the accuracy of the label, radiologists can apply this information to real patients and determine how much a person is at risk of developing cancerous lymph nodes. Since only a few may be tested and found, it is a matter of identifying an unhealthy node by comparison.
AI has also been used for heart failure as well, a disease that affects 10 percent of adults and costs $ 35 billion a year in the United States. AI tools are helpful because they "predict future challenges and assign resources to patient, hearing, and practical interventions that keep patients out of the hospital."
Criminal justice
AI is still distributed in the judiciary. The city of Chicago has launched an AI-based “Strategic List” that analyzes people imprisoned for their risk of becoming future criminals. It places 400,000 people on a scale of 0 to 500, using factors such as age, crime, abuse, drug arrest records, and gang involvement. Looking at the data, analysts find that young people are a powerful predictor of violence, that shooting victims are associated with future perpetrators, gang involvement has little to speculate on, and drug arrest has little to do with future criminal activities.
Justice experts say AI programs reduce prejudice against law enforcement and lead to improper prosecution. UR Street Institute Associate Caleb Watney writes:
Physical questions based on predicting risk prediction play on machine learning capabilities, automated consultation and other forms of AI. The simulation of one-machine learning policy concluded that such programs could be used to reduce crime by up to 24.8 percent without changing prison rates, or reducing prison populations to 42 percent without increasing crime rates.
Critics, however, are concerned that the AI algorithms represent a "secret system for punishing civilians for crimes they have not yet committed. Risk measures have often been used to control large-scale roundups." murder that has been rampant in recent years.
Despite these concerns, other countries are moving forward with immediate deployment to the region. New technologies make it possible to compare images and voices with other forms of information, and to use AI in these integrated data sets to improve law enforcement and national security. Through its "Sharp Eyes" program, Chinese lawmakers equate video footage, social media activities, online shopping, travel records, and personal identity "in the police cloud." This integrated database enables authorities to track down criminals, potential criminals, and terrorists. By contrast, China has become the world's leading AI surveillance system.
Transportation
A study by Cameron Kerry and Jack Karsten of the Brookings Institution found that more than $ 80 billion was invested in private automotive technology between August 2014 and June 2017. Those funds include both private driving applications and basic technology that are important in the industry.
Private vehicles - vehicles, trucks, buses and drone delivery systems - utilize advanced technological skills. Those features include automatic steering and braking, braking systems, the use of cameras and sensors to avoid collisions, the use of AI for real-time data analysis, and the use of advanced computers and in-depth learning programs to adapt to new situations with detailed maps.
Light detection and disposal systems (LIDAR) and AI are key to roaming and conflict. LIDAR programs include simple tools and radar. They are located on top of the vehicles that take pictures in a 360-degree position from the radar and light beams to measure the speed and distance of objects around them. Along with the sensors mounted on the front, sides, and rear of the vehicle, these devices provide information that keeps cars and trucks moving faster in their course, helping them avoid other vehicles, braking and driving when needed, and doing so quickly to avoid accidents.