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Who is writing the news you're reading? Human or AI | 121


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In this episode, have you ever stopped to think who is the author of the news you're reading, is it a human or an AI? And with the race to driverless cars heating up, there are some ethical and moral questions that need to be answered, like unemployment and who should be held responsible for an accident.

In the not so distant future, we will receive the news in a version that is more suitable to our liking, written entirely by artificial intelligence. 

One may argue that journalists will still be around. And that's true, but journalists might still report on events, but it will be AI that will take these inputs, inject data from its vast historical data and formulate a multitude of different themes, each making different arguments and coming to different conclusions.

Then, using data about readers' interests learned from their social media, online shopping and browsing history, AI will present them with the version of the news they would like to read. 

Driverless cars

At Mobile World Congress, where the top companies in mobile normally meet to showcase their latest line of phones, it is worthwhile to note that it is now becoming a place where executives from the car industry are showing up in large numbers.

Given the growth of technology and how that is being integrated into cars, carmakers have no choice but to stay with the pack or risk being left behind. That is why more and more executives from the car industry are making their way to events like Mobile World Congress and other tech conferences. 

Regarding moral concerns: The first issue is unemployment caused by a disruptive technology that could put millions of truck and taxi drivers out of work; the second, who will be held responsible when things go wrong.

False News 

According to a new study examining the flow of stories on Twitter, people, prefer false news.

As a result, false news travels faster, farther and deeper through the social network than true news.

The researchers, from the MIT, found that those patterns applied to every subject they studied, not only politics and urban legends but also business, science and technology.

False claims were 70 percent more likely than the truth to be shared on Twitter. True stories were rarely retweeted by more than 1,000 people, but the top 1 percent of false stories were

routinely shared by 1,000 to 100,000 people. And it took true stories about six times as long as false ones to reach 1,500 people.

Researchers identified more than 80,000 posts on Twitter that contained false claims and stories. Combined, those posts were retweeted millions of times.

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WRLWNDradioBy WRLWND Media