EXPLANATION OF ARTIFICIAL INTELLIGENCE

What Is AI

Artificial intelligence (AI) is the ability of a computer or machine to perform tasks that typically require human intelligence, such as learning, problem-solving, decision-making, and language understanding. There are different types of AI, including narrow or weak AI, which is designed to perform a specific task, and general or strong AI, which has the ability to perform a wide range of tasks at a human-like level. AI has the potential to revolutionize many fields, including healthcare, education, transportation, and manufacturing, and it is already being used in a variety of applications, such as virtual assistants, self-driving cars, and recommendation systems.

How AI works

There are many ways in which artificial intelligence (AI) can be implemented, and the specific approach used can depend on the task or problem that the AI system is designed to solve. Some common techniques for building AI systems include:

Machine learning: This approach involves training an AI system on a large dataset, allowing it to learn patterns and make decisions or predictions based on that data. There are several types of machine learning, including supervised learning, in which the AI system is provided with labeled examples and learns to make predictions based on them, and unsupervised learning, in which the AI system is not provided with any labeled examples and must discover patterns in the data on its own.

Rule-based systems: This approach involves programming an AI system with a set of explicit rules or decision points, which it uses to make decisions or solve problems.

Evolutionary algorithms: These are a type of machine learning algorithm that is inspired by the process of natural evolution. They involve creating a population of AI systems, each with slightly different characteristics and then selecting the ones that perform the best for reproduction and combination to create the next generation. This process is repeated until the AI system reaches an acceptable level of performance.

Neural networks: These are a type of machine learning algorithm that is inspired by the structure and function of the human brain. They consist of layers of interconnected "neurons" that can process and transmit information. Neural networks can be trained to recognize patterns and make decisions based on that data.

There are many other techniques that can be used to build AI systems, and in practice, many AI systems use a combination of these approaches.

Advantages of AI

There are many potential advantages to using artificial intelligence (AI) in a variety of fields, including:

Increased efficiency: AI can perform many tasks more quickly and accurately than humans, which can save time and reduce the risk of errors.

Improved decision-making: AI can analyze large amounts of data and provide recommendations or make decisions based on that analysis, which can help to improve the accuracy and effectiveness of those decisions.

Enhanced personalization: AI can be used to personalize experiences and recommendations based on an individual's preferences, history, and behavior.

Greater safety: AI can be used to perform tasks that are too dangerous for humans, such as disaster response, military operations, and exploration of hazardous environments.

Increased productivity: By automating many routine tasks, AI can free up humans to focus on more complex and creative work, which can increase overall productivity.

Improved customer service: AI-powered chatbots and virtual assistants can provide quick and accurate responses to customer inquiries, helping to improve the customer experience.

New job opportunities: The development and implementation of AI systems can create new job opportunities in fields such as data science, machine learning, and AI research.

What are the concerns with AI?

Job losses

Replacement of humans with machines can lead to large-scale unemployment. Unemployment is a socially undesirable phenomenon. People with nothing to do can lead to the destructive use of their creative minds.

Humans can unnecessarily be highly dependent on the machines if the use of artificial intelligence becomes rampant. They will lose their creative power and will become lazy.

Also, if humans start thinking in a destructive way, they can create havoc with these machines.

Robot bosses

If you have an issue with your current human boss, be thankful that he isn’t a cold, emotionless machine because AI is already being used to monitor employee productivity.

In what seems like the scary nightmares of a dystopian future, IBM’s Watson has been using AI and Watson Analytics to decide if employees are worthy of a pay rise, a bonus or a promotion by looking at the experience and past projects of employees to judge the qualities and skills that individuals might have to serve the company in the future.

Human error

Although AI can virtually remove human error from processes, it can still exist in the code, along with bias and prejudice.

Being largely algorithm-based, technology can be coded to have a negative impact on certain demographics and discriminate against people.

For example, Microsoft’s ill-fated chatbot, Tay Tweets, had to be taken down after only 16 hours after it started to tweet racist and inflammatory content – ideas it repeated from other Twitter users.

Worryingly, if security is not 100%, hackers can take advantage of AI’s thirst for knowledge.

High Cost:

Creation of artificial intelligence requires huge costs as they are very complex machines. Their repair and maintenance require huge costs.

They have software programs which need frequent up-gradation to cater to the needs of the changing environment and the need for the machines to be smarter by the day.

In the case of severe breakdowns, the procedure to recover lost codes and reinstating the system might require huge time and cost.

Not ethical to replicate Humans:

Intelligence is believed to be a gift of nature. Therefore an ethical argument continues, whether human intelligence is to be replicated or not.

Cannot replicate Humans:

Machines do not have any emotions and moral values. They perform what is programmed and cannot make the judgment of right or wrong. They cannot take decisions if they encounter a situation unfamiliar to them. They either perform incorrectly or breakdown in such situations.

Unlike humans, artificial intelligence cannot be improved with experience. With time, it can lead to wear and tear. It stores a lot of data but the way it can be accessed and used is very different from human intelligence.

Machines are unable to alter their responses to changing environments.

In the world of artificial intelligence, there is nothing like working with a whole heart or passionately. Care or concerns are not present in the machine intelligence dictionary. There is no sense of belonging or togetherness or a human touch. They fail to distinguish between a hardworking individual and an inefficient individual.

No Original Creativity:

While the AI can help you design and create, they are no match to the power of thinking that the human brain has or even the originality of a creative mind.

Human beings are highly sensitive and emotional intellectuals. They see, hear, think and feel. Their thoughts are guided by the feelings which completely lacks in machines. The inherent intuitive abilities of the human brain cannot be replicated.

Privacy & Security:

The increasing accessibility of facial-recognition technology has also increased concerns with respect to privacy, security, and civil liberties