Artificial Intelligence (AI) can monitor your moves.

It’s not a myth, but the sheer reality. AI can give you a creepy experience while keeping an eye on you.

AI works:

However, this trending technology ensures labeling of data to develop an understanding about the question being raised. Simply put, it is how Alexa or Home devices play the latest songs or turning off lights or setting channels and a lot more. The algorithms powering its neural network immediately response by obeying your commands. But, the challenges underlying big data unfold limited scenarios. Hence, it disturbs its neural network to cognize and reply spontaneously.

The algorithms, which cognize, understand and respond, are still in the demand of more scenarios. The data scientists know its secret. They are digging them from the IoT (Internet of Things), apps and software-driven data like a busy bee for deep learning. Data mining process is assisting them to hit this bull’s eye.   

AI snoops:

How could Google Discovery Ads know what you are interested in? Does it tap on what you do? If it is true, which technology is supporting its aim?

Certainly, the AI and machine learning are effectuating its aim. The algorithms driven through the traffic’s online journey provide data to develop intelligence for the assistance.  

Recently, a LinkedIn account caught an AI snooping in. However, discovering it over the internet is not easy. But, the reports from the Associated Press have claimed about its happening. The reports spotlighted a fake LinkedIn account created under the name ‘Katie Jones’. Upon investigation, the AI is blamed as a culprit creator, which drilled a digital tunnel to invade Washington D.C. through the connection of Jonas Parello-Plesner (Director of Alliance of Democracies Foundation Program).

It is believed that the cyber spy had deployed complex algorithms for carving facial images from scratch. Also, the user was listed as one of the top think tanks from Russia and Eurasia, which is the Center for Strategic and International Studies. Parallel to it, there was no record of her employment. Neither was any trace of a degree in Russian studies from the University of Michigan.  

All these findings pointed at no clue of the user. Hence, it was apparently an attempt of defaulter’s infiltration.       

Devices watch users:

The mobile internet penetration exceeded 65.1 percent and 59.49 percent in Asia and Africa respectively in 2017. These percentages are likely to reach 2.87 billion by the end of 2020. The big shots, such as Facebook, Google and Microsoft, are aware of this prediction. This is why they tend to watch on every user’s browsing journey. AI, being able to derive unique patterns, takes care of creating prospective targeting plans.

Here, the question is how it could monitor? Does it listen to what you talk about? Or, does it spy on you?

Any of these cases is a subject matter of data directives, such as GDPR. It administers the licit usage of data, unlike the Cambridge Analytica scandal.

So! What inspires Facebook or Google to mob your mobile internet with the ads that mirror your interest and preference? Simply ask-how does Instagram know that you want a job or a dessert? Your account, being mobbed with the job or dessert’s ads, subtly tells about its eavesdropping.

While responding to a test, the senior editor at tech website CNet, Claire Reilly, revealed that the smartphones recognise the smartphones and accounts, as of Facebook or Google, are in proximity. They track IPs by using location services. Besides, the already developed AIs pull out -what information is being used, how is it being kept and harnessed and who can access it?

Apart from that, the ruling search engine and social media leaders monitor every digital transaction. To verify whether or not an account is authentic, their data analysts match transactions with the email IDs. This is how they reach out for authentic information about a particular user. In short, your phones play a crucial role in putting different pieces of the AI puzzle together for identifying interest, user behavior and preferences.

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