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Culture

Should Artificial Intelligence Be Regulated By The Government?

Do we need to regulate Artificial Intelligence? Has the AI industry and its application grown so massively that it needs regulation?

It took 10,000 years for us humans to evolve from writing to the printing press. But it took less than 500 years to move from printing press to E-mail. We can undoubtedly say that technology around the internet is changing drastically every day.

You are reading this article all thanks to the internet. Our topic is about Artificial Intelligence and do we need to regulate AI? Has the AI industry and its application grown so massively that it needs regulation? We will discuss everything in this article.

The Era Of Artificial Intelligence

We are standing at the beginning of a new era; an era of Artificial Intelligence. Theoretically, Artificial Intelligence is a branch of computer science which deals with the stimulation of intelligence in a machine. But this definition is not enough considering the vast scope of AI.

AI is making our machines independent where there is zero to minimal effort to operate a machine. We harnessed the fire, made electricity from water, made cars and airplanes. In short, we made everything which makes our life easier. Now science is taking an even bigger leap where we can see AI-driven Cars, AI Factories, AI Smart TVs, AI Phones, AI computers, etc.

Evolution of Artificial Intelligence

Artificial Intelligence simply means a machine that can think. AI has evolved massively in the last seven decades. Alan Turing, a famous mathematician had discussed AI in his research paper in 1950. He introduced the Turing test. It determines the intelligence capability of machines. However, its validity has been a matter of discussion. 6 years later, John McCarthy coined the term "Artificial Intelligence". In the same year, the first AI software "Logic Theorist" was developed by Allen Newell, J.C. Shaw, and Herbert Simon.

In 1976, 'Mark 1 perceptron' was built by Frank Rosenblatt. It was the first computer made based on a neural network. It could learn with trial and error. Neural networks based computers were in prominence in the 1980s. In 1997, IBM's deep blue beat the famous chess player Garry Kasparov. In 2011, IBM's Watson had defeated ken Jennings and Brad Rutter in jeopardy. We have constantly been hearing about its development now and then in the news after 2011.

Types of Artificial Intelligence

There are two types of Artificial Intelligence-

  1. Weak Artificial Intelligence or Narrow AI
  2. Strong Artificial Intelligence

Narrow AI is made to perform certain specific tasks with focus and training. Most of the AI-powered devices like Alexa, Siri, IBM Watson, Autonomous vehicles are an example of narrow AI.

Strong AI is also classified under-

  1. Artificial general intelligence (AGI)
  2. Artificial superintelligence (ASI)

AGI is currently just a theoretical form in which a machine's intelligence will be equal to human intelligence. It will have self-aware consciousness, problem-solving, learning, and future planning capabilities.

ASI is also a theoretical concept in which machines will surpass human intelligence.

Strong AI is entirely theoretical and has no practical example. It doesn't mean it is unachievable. Professionals are constantly working in this field and some experts predict that it will be developed by 2030-2045.

Applications Of Artificial Intelligence

Speech recognition, customer service, recommendation engines, computer vision. Chatbots are replacing human customer service agents. Many popular apps and devices use Virtual assistants. AI is a pandora box and it has huge unknown potential Applications.

Why does Artificial Intelligence need to be regulated?

  • Machines are learning and their intelligence is growing every day. In this way, they can be used against us humans. Computers and machines can turn against mankind itself, any group or hi-tech professionals can destructively use these technologies.
  • Problems like privacy issues, mass surveillance, online theft, data leakage, and monitoring can occur because of them.
  • Even though there are many pros of AI like automation, precision, durability, etc. but cons are worrying.
  • They can replace humans in the factory and various job sectors. This will boost poverty and unemployment massively.
  • According to Google's CEO Sundar Pichai, the invention of AI is more revolutionary than the invention of Fire. This might look like yet another silicon valley hype but the company's investment is worrying. Since 2007, Google has bought 30 companies dealing with various aspects of AI.
  • Deepmind, acquired by Google in 2014 has recently announced that it may accurately predict the sequence of proteins in a DNA. This can be an initiation of several breakthroughs in the biological and medical fields. But such massive power in the hand of a private company can be manipulated.
  • Apple, Facebook, Microsoft, Amazon, and Baidu have together invested somewhere between 20 to 30 billion dollars in 2016 in the development and acquisition of AI technology. AI-based services have become a 2 billion dollar industry. It is expected to be growing at a rate of 34% annually. As AI becoming increasingly influential, the dominance of a few companies having control over AI is also growing.
  • The powerful role of these companies in the AI system demands a credible government oversight. Social fabric can be damaged if it remains in the hand of a few. Government intervention is inevitable.
regulation of artificial intelligence

Following the global trend, India had also published roadmaps in 2018 for regulating AI. The Ministry of Commerce has formed an AI task force. A document with the title 'National strategy for Artificial Intelligence' was revealed by the NITI Aayog. There still is not much clarity.

Experts say that the application of AI should be regulated rather than the AI technology itself. Data collection for Artificial Intelligence should also be governed under specific regulations strictly. Self-regulation by tech giants is not enough.

Culture

Should Artificial Intelligence Be Regulated By The Government?

Do we need to regulate Artificial Intelligence? Has the AI industry and its application grown so massively that it needs regulation?

It took 10,000 years for us humans to evolve from writing to the printing press. But it took less than 500 years to move from printing press to E-mail. We can undoubtedly say that technology around the internet is changing drastically every day.

You are reading this article all thanks to the internet. Our topic is about Artificial Intelligence and do we need to regulate AI? Has the AI industry and its application grown so massively that it needs regulation? We will discuss everything in this article.

The Era Of Artificial Intelligence

We are standing at the beginning of a new era; an era of Artificial Intelligence. Theoretically, Artificial Intelligence is a branch of computer science which deals with the stimulation of intelligence in a machine. But this definition is not enough considering the vast scope of AI.

AI is making our machines independent where there is zero to minimal effort to operate a machine. We harnessed the fire, made electricity from water, made cars and airplanes. In short, we made everything which makes our life easier. Now science is taking an even bigger leap where we can see AI-driven Cars, AI Factories, AI Smart TVs, AI Phones, AI computers, etc.

Evolution of Artificial Intelligence

Artificial Intelligence simply means a machine that can think. AI has evolved massively in the last seven decades. Alan Turing, a famous mathematician had discussed AI in his research paper in 1950. He introduced the Turing test. It determines the intelligence capability of machines. However, its validity has been a matter of discussion. 6 years later, John McCarthy coined the term "Artificial Intelligence". In the same year, the first AI software "Logic Theorist" was developed by Allen Newell, J.C. Shaw, and Herbert Simon.

In 1976, 'Mark 1 perceptron' was built by Frank Rosenblatt. It was the first computer made based on a neural network. It could learn with trial and error. Neural networks based computers were in prominence in the 1980s. In 1997, IBM's deep blue beat the famous chess player Garry Kasparov. In 2011, IBM's Watson had defeated ken Jennings and Brad Rutter in jeopardy. We have constantly been hearing about its development now and then in the news after 2011.

Types of Artificial Intelligence

There are two types of Artificial Intelligence-

  1. Weak Artificial Intelligence or Narrow AI
  2. Strong Artificial Intelligence

Narrow AI is made to perform certain specific tasks with focus and training. Most of the AI-powered devices like Alexa, Siri, IBM Watson, Autonomous vehicles are an example of narrow AI.

Strong AI is also classified under-

  1. Artificial general intelligence (AGI)
  2. Artificial superintelligence (ASI)

AGI is currently just a theoretical form in which a machine's intelligence will be equal to human intelligence. It will have self-aware consciousness, problem-solving, learning, and future planning capabilities.

ASI is also a theoretical concept in which machines will surpass human intelligence.

Strong AI is entirely theoretical and has no practical example. It doesn't mean it is unachievable. Professionals are constantly working in this field and some experts predict that it will be developed by 2030-2045.

Applications Of Artificial Intelligence

Speech recognition, customer service, recommendation engines, computer vision. Chatbots are replacing human customer service agents. Many popular apps and devices use Virtual assistants. AI is a pandora box and it has huge unknown potential Applications.

Why does Artificial Intelligence need to be regulated?

  • Machines are learning and their intelligence is growing every day. In this way, they can be used against us humans. Computers and machines can turn against mankind itself, any group or hi-tech professionals can destructively use these technologies.
  • Problems like privacy issues, mass surveillance, online theft, data leakage, and monitoring can occur because of them.
  • Even though there are many pros of AI like automation, precision, durability, etc. but cons are worrying.
  • They can replace humans in the factory and various job sectors. This will boost poverty and unemployment massively.
  • According to Google's CEO Sundar Pichai, the invention of AI is more revolutionary than the invention of Fire. This might look like yet another silicon valley hype but the company's investment is worrying. Since 2007, Google has bought 30 companies dealing with various aspects of AI.
  • Deepmind, acquired by Google in 2014 has recently announced that it may accurately predict the sequence of proteins in a DNA. This can be an initiation of several breakthroughs in the biological and medical fields. But such massive power in the hand of a private company can be manipulated.
  • Apple, Facebook, Microsoft, Amazon, and Baidu have together invested somewhere between 20 to 30 billion dollars in 2016 in the development and acquisition of AI technology. AI-based services have become a 2 billion dollar industry. It is expected to be growing at a rate of 34% annually. As AI becoming increasingly influential, the dominance of a few companies having control over AI is also growing.
  • The powerful role of these companies in the AI system demands a credible government oversight. Social fabric can be damaged if it remains in the hand of a few. Government intervention is inevitable.
regulation of artificial intelligence

Following the global trend, India had also published roadmaps in 2018 for regulating AI. The Ministry of Commerce has formed an AI task force. A document with the title 'National strategy for Artificial Intelligence' was revealed by the NITI Aayog. There still is not much clarity.

Experts say that the application of AI should be regulated rather than the AI technology itself. Data collection for Artificial Intelligence should also be governed under specific regulations strictly. Self-regulation by tech giants is not enough.

Culture

Should Artificial Intelligence Be Regulated By The Government?

Do we need to regulate Artificial Intelligence? Has the AI industry and its application grown so massively that it needs regulation?

It took 10,000 years for us humans to evolve from writing to the printing press. But it took less than 500 years to move from printing press to E-mail. We can undoubtedly say that technology around the internet is changing drastically every day.

You are reading this article all thanks to the internet. Our topic is about Artificial Intelligence and do we need to regulate AI? Has the AI industry and its application grown so massively that it needs regulation? We will discuss everything in this article.

The Era Of Artificial Intelligence

We are standing at the beginning of a new era; an era of Artificial Intelligence. Theoretically, Artificial Intelligence is a branch of computer science which deals with the stimulation of intelligence in a machine. But this definition is not enough considering the vast scope of AI.

AI is making our machines independent where there is zero to minimal effort to operate a machine. We harnessed the fire, made electricity from water, made cars and airplanes. In short, we made everything which makes our life easier. Now science is taking an even bigger leap where we can see AI-driven Cars, AI Factories, AI Smart TVs, AI Phones, AI computers, etc.

Evolution of Artificial Intelligence

Artificial Intelligence simply means a machine that can think. AI has evolved massively in the last seven decades. Alan Turing, a famous mathematician had discussed AI in his research paper in 1950. He introduced the Turing test. It determines the intelligence capability of machines. However, its validity has been a matter of discussion. 6 years later, John McCarthy coined the term "Artificial Intelligence". In the same year, the first AI software "Logic Theorist" was developed by Allen Newell, J.C. Shaw, and Herbert Simon.

In 1976, 'Mark 1 perceptron' was built by Frank Rosenblatt. It was the first computer made based on a neural network. It could learn with trial and error. Neural networks based computers were in prominence in the 1980s. In 1997, IBM's deep blue beat the famous chess player Garry Kasparov. In 2011, IBM's Watson had defeated ken Jennings and Brad Rutter in jeopardy. We have constantly been hearing about its development now and then in the news after 2011.

Types of Artificial Intelligence

There are two types of Artificial Intelligence-

  1. Weak Artificial Intelligence or Narrow AI
  2. Strong Artificial Intelligence

Narrow AI is made to perform certain specific tasks with focus and training. Most of the AI-powered devices like Alexa, Siri, IBM Watson, Autonomous vehicles are an example of narrow AI.

Strong AI is also classified under-

  1. Artificial general intelligence (AGI)
  2. Artificial superintelligence (ASI)

AGI is currently just a theoretical form in which a machine's intelligence will be equal to human intelligence. It will have self-aware consciousness, problem-solving, learning, and future planning capabilities.

ASI is also a theoretical concept in which machines will surpass human intelligence.

Strong AI is entirely theoretical and has no practical example. It doesn't mean it is unachievable. Professionals are constantly working in this field and some experts predict that it will be developed by 2030-2045.

Applications Of Artificial Intelligence

Speech recognition, customer service, recommendation engines, computer vision. Chatbots are replacing human customer service agents. Many popular apps and devices use Virtual assistants. AI is a pandora box and it has huge unknown potential Applications.

Why does Artificial Intelligence need to be regulated?

  • Machines are learning and their intelligence is growing every day. In this way, they can be used against us humans. Computers and machines can turn against mankind itself, any group or hi-tech professionals can destructively use these technologies.
  • Problems like privacy issues, mass surveillance, online theft, data leakage, and monitoring can occur because of them.
  • Even though there are many pros of AI like automation, precision, durability, etc. but cons are worrying.
  • They can replace humans in the factory and various job sectors. This will boost poverty and unemployment massively.
  • According to Google's CEO Sundar Pichai, the invention of AI is more revolutionary than the invention of Fire. This might look like yet another silicon valley hype but the company's investment is worrying. Since 2007, Google has bought 30 companies dealing with various aspects of AI.
  • Deepmind, acquired by Google in 2014 has recently announced that it may accurately predict the sequence of proteins in a DNA. This can be an initiation of several breakthroughs in the biological and medical fields. But such massive power in the hand of a private company can be manipulated.
  • Apple, Facebook, Microsoft, Amazon, and Baidu have together invested somewhere between 20 to 30 billion dollars in 2016 in the development and acquisition of AI technology. AI-based services have become a 2 billion dollar industry. It is expected to be growing at a rate of 34% annually. As AI becoming increasingly influential, the dominance of a few companies having control over AI is also growing.
  • The powerful role of these companies in the AI system demands a credible government oversight. Social fabric can be damaged if it remains in the hand of a few. Government intervention is inevitable.
regulation of artificial intelligence

Following the global trend, India had also published roadmaps in 2018 for regulating AI. The Ministry of Commerce has formed an AI task force. A document with the title 'National strategy for Artificial Intelligence' was revealed by the NITI Aayog. There still is not much clarity.

Experts say that the application of AI should be regulated rather than the AI technology itself. Data collection for Artificial Intelligence should also be governed under specific regulations strictly. Self-regulation by tech giants is not enough.

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