Artificial intelligence an enemy or a friend.

We all have some questions that Artificial Intelligence is going to become our enemy or friend. We don’t know what will dominate in the future HUMANS OR ROBOTS. It is the person who makes these events positive, negative, a friend, or an enemy when Newton discovered the third law of motion was not intended to build weapons.

AI based robot

 

The same goes for AI – people can use it to build medical diagnostic machines or kill machines; the only important issue is who uses it and what it does.

For example, in the field of medicine AI algorithms can be used to study advanced chemical elements that can be used to treat disease.

On the other hand, AI can also be used to improve UAV’s killing of people (good/bad) by learning different military skills.

After the technological revolution of the 19th century, I regard AI as the next great state in human civilization that will affect the global social-economic situation.

In the 19th century, we tried to develop machines that mimicked the energy of the human or animal body, and in the 21st century.

Now, some of the puzzling questions that can be asked about AI are: Will machines surpass people in decision making?

Will AI kill jobs or will there be new verticals in the job market?

Before answering this, we need to understand the basic differences between the two basic functions of the human brain in daily life: prediction (what will happen or what) and decision

So far in the job market, AI will easily replace those activities that are more environmentally friendly (off-course, with data) for example illness diagnosis, financial anomaly detection, internal video.

 

Robot

 

But by mimicking the decision-making process of the human brain, there is still a need for more improvements in existing AI algorithms.

Having said that, the power of AI decision-making in a restricted area (in sports) will soon begin to outweigh people.

It is difficult for AI (at least the current set of published algorithms) to replace people who have not made decisions.

Other than that we humans have not only learned the hardest facts (like the current collection of AI algorithms) but we change our ideas over time also.

In the current system, AI will always be a great help to the environment.

It will help us to clean up processes and increase efficiency and even though it will kill jobs, it will also create new job opportunities.

 

Humanoid

 

The first and most important requirement for AI is data.

Data is as important for AI as clay is important for bricks.

In the near future, data collection will be more difficult because users will have more to share with their data.

To handle such a situation the AI ​​domain will require data builders (which will not require any advanced skills) who will produce artificial data for AI training.

Amazon’s Mechanical Turk is one such platform used to create data by paying people.

Or companies are somehow able to access user data and will always use specific domains that do not have enough AI training data.

For example, a Cambridge-based Startup-Audio Analytic employs people to smash the glass and compile sound patterns that they use continuously to train an AI safety system that can distinguish between the sound of broken window glass and broken glass in the kitchen.

 

AI based machine

 

Apart from this when engineers and researchers were building computers in the 50s, no one knew that there would be “viruses” and in the future that would affect the normal in the field of AI and one trying to develop technology to prevent this development.

Centuries ago, about 90 percent of the population was involved in agriculture and today only 2 percent of the world’s population is involved in the same way even though we produce and feed the vast majority of the population.

We built hardware, then used equipment, then computers, then software now AI and in all such developments we killed some jobs but built new ones.

Humans are destined to adapt to a changing environment and every new technology has challenged us to push our boundaries and create new opportunities with friends.

Centuries ago, about 90 percent of the population was involved in agriculture and today only 2 percent of the world’s population is involved in the same way even though we produce and feed the vast majority of the population.

We built hardware, then used equipment, then computers, then software now AI and in all such developments we killed some jobs but built new ones.

Humans are destined to adapt to a changing environment and every new technology has challenged us to push our boundaries and create new opportunities with friends.

There was no additional prize awarded when the agent successfully marked another agent with a beam.

It automatically removes a competitor from the game, allowing the winning agent to collect all the apples.

The interesting thing here is that if the beams were not used, agents could collect an equal number of apples.

 

 

This is exactly what happened to the less intelligent AI version.

Only from complexity, violence, vandalism, and selfishness.

When AI is complex and intelligent, it can better study its environment which has led to more aggressive strategies to win the situation.

Although the meeting is just a computer game, it gives us a message; when AI objectives are not well aligned with the goal of full human benefit, we can face dramatic consequences.

Think of this in real-life situations such as weapons, army, police, or your smart home robot.

Something we can see soon will be an example of traffic.

There are private cars and robots. Cars are looking for a faster route, while robots are trying to increase traffic congestion. These goals must go hand in hand with achieving the safest and most effective safety net in the community.


As AI systems become increasingly sophisticated, we need to be more careful in how we adapt their functions to the connected world. Even if we build them, they automatically do not have good hearts.

 

 


Today AI programs have great potential, but only for small tasks. Sometimes they can achieve human performance in many of our tasks. It remains to be seen how much we can benefit from this.
We need to build a future where people and robots bring together the best results. Otherwise, we could face war.

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