Is Real News Synthetic?

June 13, 2018

There are new artificial intelligence algorithms being designed to develop new security measures. AI algorithms “learn” when they are fed large datasets to discover patterns, inconsistencies, and other factors. It is harder than one thinks to generate large datasets, so Google has turned to fake…er…synthetic data over real. Valuewalk wrote more about synthetic data in, “Why Facebook Now Uses Synthetic (‘Fake’) Data.”

Facebook recently announced plans to open two new AI labs to develop user security tools and the algorithms would be built on synthetic data. Sergey Nikolenko, a data scientist, complimented the adoption of synthetic data, especially since it would enable progress without hindering user privacy.

“ ‘While fake news has caused problems for Facebook, fake data will help fix those problems,’ said Nikolenko.  ‘In a computing powerhouse like Facebook, where reams of data are generated every day, you want a solution in place that will help you quickly train different AI algorithms to perform different tasks, even if all the training data is.  That’s where synthetic data gets the job done!’ “

One of the biggest difficulties AI developers face is a lack of usable data. In other words, data that is high-quality, task-specific and does not compromise user privacy. Companies like Neuromation nabbed this niche, so they started creating qualifiable data.

Facebook will use the AI tools to fight online harassment, political propaganda from foreign governments, fake news, and various networking tools and apps. This might be the start of better safety protocols protecting users and preventing online bullies.

Perhaps “real news” is synthetic?

Whitney Grace, June 13, 2018

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