How Artificial Intelligence changes the world

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Artificial Intelligence

This article is about how Artificial Intelligence changes the world, Most people are not aware of the concept of artificial intelligence (AI). So this article will help to know the basics of artificial intelligence.

For example, in a study, 1,500 business leaders from the United States in 2017 were asked about AI, however, only 17 percent said they knew about it.
Most of them were not sure what AI was, and how it could affect their particular businesses. They knew there was a great opportunity to change business processes, but they were not sure how AI could be done in their businesses.
Despite its widespread shortcomings, AI is a technology that transforms every aspect of our lives. It is a tool that allows people to think differently about how to combine data, process information, and use the information to make better decisions.

Benefits of artificial intelligence (AI)

The goal of this comprehensive review is to introduce AI to a group of decision-makers, commentators, and other interested people, and to show how AI is already changing the world and raising important issues in economics, society, and governance.
In this paper, we look at new applications for national security, finance, health care and transportation, criminal justice, and smart cities. We deal with issues such as data access issues and bias in algorithmic calculations, AI principles, transparency, and the legal consequences of AI decisions. We examine the various control strategies used in the U.S. and the European Union and concluded with a few suggestions to maximize the benefits of AI and save human resources.

To maximize the benefits of AI, we suggest nine steps to follow:

  • Make it easy to access research data, but without compromising user privacy,
  • increasing government funding for separate AI research.
  • Promote new digital learning models and staff development of AI to ensure employees are ready to succeed in the 21st century economy.
  • Create an AI advisory committee that will make policy recommendations.
  • Consult with local and government officials so that they can implement effective policies.
  • The rules govern common AI principles, not specific algorithms.
  • Take bias complaints seriously, so that AI can duplicate historical inequalities, injustices or prejudices in algorithms or data.
  • to ensure that human resource management systems are in place and in control,
  • punish ethical use of AI and promote cybersecurity security
Artificial Intelligence
Artificial Intelligence

Qualities of Performance Intelligence

While no definition of meaning is universally agreed upon, AI is generally thought to refer to “machines that respond to motivation in the same way as common human responses, given our ability to think, judge and purpose.” According to researchers Shubhendu and Vijay these software programs “make decisions that often require the level of personal knowledge” and help people to think about problems or manage problems as they arise. As such, they operate objectively, intelligently, and flexibly.

Purpose of Artificial Intelligence

Artificial Intelligence algorithms were created to make decisions, usually using real-time data. They are different from machine tools that can only rely on pre-determined or machine-made responses. Using sensors, digital data, or remote inputs integrate information from a variety of sources, analyze data quickly and take action based on the conclusions found in this information.

With the rapid development of processing speed, storage systems, and analysis methods They are able to acquire a complex analysis and decision making.

The future of AI – Should we fear the apocalypse?

Recently, a paper published by researchers from AMOLF’s Soft Robotic Matter group showed how self-learning robots can easily adapt to changing circumstances. These small robotic units were connected to each other so that they learned to move on their own.

The future will harness the hidden capabilities of AI and encourage the creation of self-learning robots. generative adversarial networks will be explored based on reinforcement learning and training algorithms. AI will also be a standard-bearer for sustainable technologies and will be used to fight climate change by reducing pollution levels and encouraging research into green AI.

Artificial intelligence is heavily criticized for its biases and privacy invasion concerns. Many companies and research companies are thus trying to develop ethical and impartial AI approaches and algorithms. We can expect this to become possible in the years to come.

Another threat posed by AI is the violation of human rights by affecting privacy. For example, voice assistants like Alexa and technologies like facial recognition have been accused of invading the privacy of humans and possibly eavesdropping on their lives. There are concerns that these technologies could be used by powerful state and federal authorities against specific minorities and restrict freedom of speech and expression. Thus, AI needs to evolve a lot to move forward with these criticisms and enable an ethical and trustworthy system in the future.

Apart from these critical issues, AI is not going to bring about an apocalypse as Hollywood Science-Fiction depicts. The AI ​​we use today is known as Narrow AI and in order for it to create on its own, there has to be a huge evolution. This advanced AI is called artificial general intelligence (AIG). We are still very far from reaching the AGI and its future is still hypothetical. To reach this advanced stage, AI would need to be able to fully understand and augment the complex human brain, which is a wild idea at the moment.

Therefore, AI as such might not become a threat to human existence. However, there are chances of humans misusing the capabilities of technology to cause harm. The scenario of war robots being used to feed harmful motives through their algorithms may be an example of this. Therefore, in the coming years, there is a need to develop an ethical AI ecosystem without human biases, which could mitigate the potential risks of AI in the future.

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