Insider Blows Whistle on Google’s ‘Trump’ Plan

Project Veritas has released a new report on Google which includes undercover video of a Senior Google Executive, leaked documents, and testimony from a Google insider.  The report appears to show Google’s plans to affect the outcome of the 2020 elections and “prevent” the next “Trump situation.”

The report includes undercover footage of longtime Google employee and Head of Responsible Innovation, Jen Gennai saying:

“Elizabeth Warren is saying we should break up Google. And like, I love her but she’s very misguided, like that will not make it better it will make it worse, because all these smaller companies who don’t have the same resources that we do will be charged with preventing the next Trump situation, it’s like a small company cannot do that.”

Said Project Veritas founder James O’Keefe:

“This is the third tech insider who has bravely stepped forward to expose the secrets of Silicon Valley.  These new documents, supported by undercover video, raise questions of Google’s neutrality and the role they see themselves fulfilling in the 2020 elections.”

Jen Gennai is the head of “Responsible Innovation” for Google, a sector that monitors and evaluates the responsible implementation of Artificial Intelligence (AI) technologies.  In the video, Gennai says Google has been working diligently to “prevent” the results of the 2016 election from repeating in 2020:

“We all got screwed over in 2016, again it wasn’t just us, it was, the people got screwed over, the news media got screwed over, like, everybody got screwed over so we’re rapidly been like, what happened there and how do we prevent it from happening again.”

“We’re also training our algorithms, like, if 2016 happened again, would we have, would the outcome be different?”

Google: Artificial Intelligence Is For A “fair and equitable” State

According to the insider, Machine Learning Fairness is one of the many tools Google uses to promote a political agenda.  Documents leaked by a Google informant elaborate on Machine Learning Fairness and the “algorithmic unfairness” that AI product intervention aims to solve:

Continue reading here.

[Editor’s Note: This article was written and originally published at Project Veritas. Title changed by P&P.]



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