What is artificial intelligence, and how does it work
You must have heard recently about artificial intelligence, and about companies racing to use it,
But do you know what it is, how it works, and for what purposes it is used?
In this article, Evest will answer all these questions and provide you with all the information about its
Topic
What is artificial intelligence
How does artificial intelligence work
What is the importance of artificial intelligence
What are the pros and cons of artificial intelligence
The ethics of using artificial intelligence
What is artificial intelligence?
Artificial intelligence is a field of computer science that simulates the mental capabilities
of the human mind and how human intelligence works, such as learning, reasoning, image recognition, and other human capabilities.
Artificial intelligence aims to build a self-learning system to understand words,
and collect data and information so that artificial intelligence can apply this information to solve problems just as the human mind does.
How does artificial intelligence work
Artificial Intelligence programming focuses on 4 skills:
Learning: The learning aspect focuses on accessing data, finding the link between them,
and converting this data into data. Rules, called algorithms, are provided to complete a specific task, such as identifying the human shape in images.
Perception skill depends on choosing the correct algorithm to achieve the desired result.
Self-correction: This skill focuses on correcting algorithms and their laws to find more accurate methods,
resulting in better results the next time the system works.
Innovation skill: Using technology to enable computers to read information like the human mind,
relying on laws, data, statistics, and many other techniques to create new ideas for texts, images, and music.
What is the importance of artificial intelligence?
The importance of artificial intelligence lies in its ability to shape our lives, the way we work and how we play. Companies have used AI to automate human tasks, such as customer service, finding potential customers, detecting fraud and improving quality. In many fields, it can perform tasks better than humans, especially in tasks that include reading and examining legal documents to write the required information correctly and without any errors. Artificial intelligence tools perform tasks faster than humans and with fewer errors. Depending on the large sets of data that AI can ingest, AI can provide companies with insights into their business that they were not aware of.
The development of it technologies has contributed not only to strengthening competencies but also to creating new job opportunities in some companies. Before it, using applications or computer programs to connect passengers to taxis was impossible, but thanks to this capability, Uber has become a Fortune 500 company.
it has become the focus of attention of most large and successful companies, such as Alphabet, Apple, Microsoft and Meta, as these companies have used it techniques to develop operations and compete with competitors. For example, Google’s search engine relies primarily on artificial intelligence, as does Imo’s self-driving cars, and Google Brain, which invented the transformer neural network that supports recent breakthroughs in natural language processing.
What are the pros and cons of artificial intelligence?
Here are some of the advantages of artificial intelligence.
Good at detail-oriented work: AI cannot be said to be better than doctors at diagnosing some types of cancer, including breast cancer and skin cancer, but it has proven to be better.
Reducing time for data-intensive tasks: AI is widely used in data-intensive industries such as banking, securities, pharmaceuticals, and insurance to reduce the time it takes to analyze large data sets. Financial services, for example, routinely use it to process loan applications and detect fraud.
Saves labour and increases productivity: The use of warehouse automation, which is expected to grow during the pandemic increases with the integration of it and machine learning.
Provides consistent results: The best AI-based translation tools provide a high level of consistency and the ability to reach customers in their native language, even in small businesses.
Personalization of messages: Artificial intelligence can personalize the content of messages, advertisements, and website recommendations for individual customers, which increases customer and customer satisfaction with the company.
Virtual Agents: The artificial intelligence program provides service 24 hours a day, 7 days a week, without the need to sleep or take a break.
Disadvantages of it
Here are some disadvantages of artificial intelligence.
High cost
Requires deep technical expertise.
A limited number of qualified workers to build AI tools.
Reflects training data at scale
It cannot be generalized from one task to another.
It eliminates human jobs, which increases the unemployment rate
The ethics of using artificial intelligence
While AI tools offer a range of new functionalities for businesses, using AI also raises ethical questions because,
for better or worse, an AI system will enhance everything you know.
This can be a problem because machine learning algorithms, which power many of the most advanced AI tools, are only as smart as the data they are trained on. Because a human selects the data used to train an AI program, the potential for machine learning bias is inherent and should be closely monitored.
Anyone looking to use machine learning as part of real-world production systems needs to consider ethics in AI training processes and strive to avoid bias. This is especially true when using AI algorithms that are inherently inexplicable in deep learning applications and generative adversarial networks (GANs).
Explainability is a potential obstacle to the use of AI in industries that operate under strict regulatory compliance requirements. For example, financial institutions in the United States operate under regulations that require them to explain their credit issuance decisions. However, when a decision to deny accreditation is made by AI programming, it can be difficult to explain how the decision was reached because the AI tools used to make such choices work by extracting precise correlations between thousands of variables. When the decision-making process cannot be explained, the software can be called black box AI.
Summary
In summary, the ethical challenges faced by AI include:
Bias due to incorrectly trained algorithms and human bias.
Misuse due to deep fakes and phishing.
Legal concerns, including defamation and copyright issues using AI.
Jobs were eliminated due to the increasing capabilities of it.
Data privacy concerns, especially in banking, healthcare, and legal fields.