A new undercover exposé by Project Veritas reveals that the company is programming its machine learning algorithms in order to avoid the "next Trump situation."

"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," said longtime Google employee and head of "Responsible Innovation," Jen Gennai.

" We’re also training our algorithms , like, if 2016 happened again, would we have, would the outcome be different?" she added.

THIS 👏🏻 IS 👏🏻 ELECTION 👏🏻 MEDDLING pic.twitter.com/TNECETfKuP — Paul Joseph Watson (@PrisonPlanet) June 24, 2019

Gennai says that Elizabeth Warren's proposal to break up Google is 'very misguided,' 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."

Meanwhile, a Google insider who came forward to Veritas confirmed what they filmed Gennai admitting; that the company is using "Machine Learning Fairness" as just one of several political tools used to promote their political agenda by combating "algorithmic unfairness."

Via Project Veritas

"Internal only” documents at Google show Goal to establish a “single point of truth” for definition of news across Google products. @valstreit POC. https://t.co/w984oFqK4Y pic.twitter.com/zsn13FgSgz — James O'Keefe (@JamesOKeefeIII) June 24, 2019

Of course, as Gennai puts it: "We have gotten accusations of around fairness is that we’re unfair to conservatives because we’re choosing what we find as credible news sources and those sources don’t necessarily overlap with conservative sources …"

As an aside, Project Veritas's James O'Keefe tweeted on Monday that Reddit has suspended their account.