<! – ->

AI is part of the digital economy and it comes with ethical concerns

Steven Mnuchin, Trump's administration secretary, told the press he was not worried about AI because he believed it was not yet It may be 50 to 100 years from now. Others are not immediately worried about AI.

According to Tesla's CEO, Elon Musk, AI poses a huge risk to growth and can have a significant impact on space. The job market. What makes AI competitive is machine learning. It is the ability to make decisions based on a number of determinants and to use decision outcomes to inform choices The future. This process is constantly improving, and it is important that AI is now a replacement for the kind of work that was previously available only to humans. Be it like driving or investing money.

Of course, AI is now available on the phone or at home, it's the Amazon Azizan allergy. Apple's Siri Amazon's Alexa or Microsoft's Tay decide how important everyday things are, such as financial protection. And public safety.

AI has been replacing many jobs in the financial sector as it could see a slight drop in the stock market It's a good time to buy or sell shares. It is possible to check the profile of whether a person can get a bank loan. As a result, experts predict that the bank branch could eliminate half of its employees soon.

The US military also uses AI as part of an expert project as a defense system. The military uses AI to scan for suspicious or unusual tracking systems and flags.

Some hospitals also use AI in the same way: scans of medical images to look for more serious things Lymphoma. The automated service saves money because the radiologist can make $ 700 for the four hours of AI it has. More effective and more precise.

But some ethical issues have escalated. In Ganga, AI is being used by law enforcement to determine which areas of criminal activity are complaining. It leads to the innocent people in the area.

The main picture of AI is that its estimates cannot be entirely accurate because they are largely influenced by the quantity and quality of the data Like evaluating the value of a creator when they determine the moderation conditions for a system. (In the sequel)