Introduction:-

Humans are always thirsty to invent new things that would make their lives easier. One such major invention in the innovation world is AI or Artificial Intelligence. We humans have a natural power to think which we can say natural intelligence. However, if a computer can think, then it will be artificial. In 1959, Sir Arthur Samuel, who was an American pioneer in the gaming and artificial intelligence field, familiarized us with the term “machine learning”. The primary function of a computer associated with AI is data analysis. How does a human kid learn new things? They learn by observing. The same things occur with the computer. In the first place, it collects users’ data or is fed with a vast amount of data, then it processes that information and learns.

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Applications of Artificial Intelligence:-

In today’s world, the measure of information is so tremendous, that a typical individual can't process and make decisions based on the entire data. Solving complex problems will take a lot of time to be settled as it requires higher cognitive skills. Therefore, humans are trying to make a machine that will reduce their tasks.

We know the phrase “To Err is Human”, that means it is natural for humans to make mistakes. Instead of people, if we program a computer properly, it won't commit errors, which will expand the opportunity of achievement and accuracy. Example: In weather forecasting, computer-based intelligence has increased accuracy.

An average person can work 6-8 hours a day. People need breaks to revive themselves and prepare for their work. Using AI, we can give customers 24×7 hours facilities.

Speech recognition is an AI technology that recognizes words spoken in different languages and converts them into text format. At a point, when your eyes and hands are occupied, for example, you are driving, speech recognition is extraordinarily helpful. Google Assistant, Apple’s Siri is frequently used for making phone calls, weather reports, location checking and so on. Speech recognition is a growing technology, even so, it is limited to some simple commands. In the future, programmers may develop a more remarkable system to communicate more effectively with the computer.

AI can also recognize and classify fingerprint ID, barcode, QR code, and medical images. In e-commerce websites or apps, they recommend several products based on our past activity.

In the medical field, AI is used to treat patients with mental disorders. The current medical industry is using popular softwares based on artificial intelligence to monitor neurological disorders, and it helps doctors to identify several health-related issues.

How AI can influence human behaviour:

Using the combination of machine learning and adaptive artificial intelligence, top technology companies (Facebook, Google, Amazon and so on) are influencing people to use their services more. For instance, if a client is in an area like a bar or club, the mobile app will intervene instantly by showing some hotline information on his smartphone. Nowadays, a smartphone is not just a tool to receive phone calls and to chat, it is a human behaviour manipulation device. Having the option to program an application so that it can predict a person’s responses is beyond our understanding. However, the way big data is used, new uses of AI shouldn’t be that surprising.

Companies in Silicon Valley claim they use neuroscience blended with current AI and their mystery of a developing enterprise is, “Make your apps addictive with dopamine” in order that an ordinary man or woman can spend hours and hours in his/her clever gadgets (smartphone, tab, computer etc) without taking rest. These companies are continuously manipulating our brain. Dopamine is a type of neurotransmitter that doesn’t produce pleasure but regulates our happiness, desire, and satisfaction. When we expect something good after doing a thing, the level of dopamine will automatically increase, which gives us satisfaction. In 2016, a three-week clinical trial showed that a user who was digitally addictive opened a social network more frequently and spent more time sending positive messages to friends and family. On an average, a smartphone user opens his/her smartphone 100-150 times to check notifications. The user appears to be a guinea pig. We pressed the button constantly under observation and control of their habits. This is the mobile and internet era where the screen time of an individual is continuously expanding, and they can't go through a single day without a smartphone. All the global tech industries are looking for insight into human’s weakness and implementing various algorithms so that we can spend time on our smart gadgets.

Social Network and its addictive algorithms:

Social media is an addictive machine that provides us with a platform to write. What is the motive to engage us in these platforms? We all know that we will not get paid if we spend our valuable times to write on social  networks. Instead of paying, they give us some virtual stuff e.g. likes, shares, attention, retweets, etc. Meanwhile, hashtag and trending sections are created to generate lots of content and data produced by single users, so that other people can consume that stuff on those platforms. These companies are implementing addictive algorithms and researching what makes people engage. Data is the ultimate goal to generate revenue.

A report says “Why do most people fail to stop using social media?”. Among the people who have strictly decided to quit social networks, many people came back, and many people moved to another social media. Those people who have overcome their addiction are much happier than other people who have digital addiction. Notifications work as a click-bait. Notifications light up, and our mind becomes alert as the signal reaches the reward centre of the brain.

 

Google knows more about you than you might think:

Elon Musk, founder and CEO of SpaceX and Tesla concerns about the deep mind lab which is best known for artificial intelligence in the world. It was acquired by Google in 2014. Google is tracking almost 93% of internet users. What they consider is how to increase click-through rate, sell advertisements so as to increase income YouTube (a subsidiary of Google) has immensely powerful algorithms. Over 2.4 billion individuals watch videos on YouTube, and it’s algorithm handles the recommendation section according to the viewer’s choice by analyzing their previously watched videos within a fraction of a second. A report says, 70% of the time of watching videos are from the recommended section. Every day 700 Million watch hours are collected from recommended videos. The design of this algorithm is, of course, created by Google Inc.

You might know that Google keeps the information that you search on the search engine, however, you can’t realize how Google tracks you in every aspect of your life — from where you go, the product you purchase, where you live, your job, YouTube searches and watch history. Then, what Google does with this data? Google would say that by using these data, they improved their services, so that gives you the best help while you are using their online services. If you have signed in to Google in your browser or your mobile devices, they are fetching your location, search history, web and app activity and by using your details Google provides you with more relevant ads, so it can increase the impressions and active visitors to those services. 

Many websites, apps integrated Google services to improve their contents. For example when you visit a website that uses Google Analytics, your web browser automatically sends certain data to Google. This includes the page you visit, third party cookies and your ip address too. Some cookies help you to connect a user with his account and it also helps to allow services to understand how users interact with a particular service. If ad personalization is turned on, Google will use your information to make the advertisement more useful to you. If ad personalization is off, Google will not collect your cookies and site data to show personalized ads. Ads may still be visible based on your current search terms but not on your interests.

The second most important thing is your device information. This covers phones, tablets, the laptop that is associated with Gmail, YouTube, Maps etc. and you can find out all the data that Google thinks you might be interested in. First, make sure that you have signed in with Google in your browser, then if you search the ad settings, it will show what sort of information they stored about you.

 

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Conclusion:-

Here is the fundamental problem that the multinational companies are not using AI not only to get what you want, they created it to make people addicted to the platforms. It may be YouTube, or any other social network Facebook, Instagram, or Twitter. We can’t blame social media – or even the growth business campaigns that exploit people’s emotions. We need to become conscious of what’s happening. We can  actually control the algorithms by liking and engaging with the news stories, videos, profiles, and content that fills us with value and purpose.