Google hired microworkers to train its controversial Project Maven AI
According to a report by The Intercept, Google hired gig economy workers to help build out a contentious intelligence program that the firm and the Pentagon had paired together to construct. The employees were hired via a crowdsourcing gig company outfit named Figure Eight, which pays as little as $1 an hour for people to execute short, apparently mindless tasks. Whether the individuals were identifying items in images that were CAPTCHA-like, or other straightforward tasks, the employees were helping train Google’s AI that was made as part of a Defense Department initiative known as Project Maven.
Project Maven is a Pentagon project intended to utilize artificial intelligence and machine learning in order to differentiate objects and people in tens of thousands of hours of footage that is a drone.
By employing these crowdsourced micro employees, Google was able to use them to teach algorithms that it had been running to differentiate between human targets and surrounding objects. According to The Intercept, these employees had no idea what they had been constructing or who their work benefited.
Google said as it included Project Maven after over 3,000 workers signed a petition in protest of the organization’s involvement in the initiative that it had decided to not renew its contract with the Defense Department. The deal is set to finish in March 2019. Figure Eight, which was called Crowdflower, is one of the largest platforms that uses microworkers.
On its website, Figure Eight says its stage “unites human intelligence at scale cutting-edge versions to make the highest quality training data for your machine learning (ML) jobs” By partnering with those microworker outfits, Google could cheaply and quickly build out its AI.
You may be interested

Data Breaches and Consumers: What Happens After Personal Information Is Leaked?
Anshika Jain - Sep 25, 2026Personal information has become one of the most valuable forms of data in the digital economy. Every time people create an online account, purchase a product, register…

Deepfake Fraud: How Criminals Are Using Fake Faces and Voices
Anshika Jain - Sep 25, 2026Artificial intelligence has changed the way digital images, videos, and voices can be created. A technology that was once associated mainly with entertainment and experimental media can…

The Rise of Anonymous Creators: Why Some Influencers Hide Their Identity
Anshika Jain - Sep 25, 2026For years, social media influence was closely associated with visibility. Influencers appeared on camera, shared their daily lives, built personal brands around their names, and encouraged audiences…
Most from this category



Synthetic Influencers: Can AI-Generated Personalities Build Real Audiences?
Anshika Jain - Sep 25, 2026





