Emphasizing that Google should not be in the business of war, employees of Google have opposed "Project Maven", a project for the U.S. military. They're demanding that Google not only cancel the project, but that it publicly commit to a new policy "that neither Google nor its contractors will ever build warfare technology".
The letter comes after some staff raised concerns about Google's involvement in Project Maven at a recent company-wide meeting.
Company leaders explained that the portion of work Google is involved in is not used to operate drones or launch weapons, but according to the letter that did little to appease those who are objecting.
Despite a Google spokesperson's assurance that their new tech would be "for non-offensive uses only", many Google employees were instantly wary of the partnership, Gizmodo reported.
Expected by the Pentagon to cost less than $70m in its first year, the program will focus on better integrating big data and machine learning to improve the targeting of drone strikes. It is no wonder then that employees want the company to stay away from the project.More news: MMA star McGregor charged with assault
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To the many worries presented by workers that suspect on the company putting users' data at risk, a spokesperson communicated that the AI data to be employed is meant to flag images for further professional review and that Google's effort is made in order to help save lives on conflicts with highly advanced technology. Google's part in the project is to use AI to help identify and flag images for human review from thousands of hours of drone footage taken in Iraq and Syria.
Employees are anxious that developing technologies that could be used for warfare will harm the Google's brand and it ability to compete for talent. "Amid growing fears of biased and weaponized AI, Google is already struggling to keep the public's trust".
Google added, "The (computing) models are based on unclassified data only". At the time, the military described it as an effort to collect "actionable" intelligence faster with help from machine learning.