Kognic's Commitment to Ethical Data Labeling

The AI industry is experiencing explosive growth, but this progress comes at a cost. Data labeling—the foundation of machine learning—has too often relied on exploitative practices: poverty wages, poor working conditions, and unsustainable timelines. At Kognic, we believe this has to change.

As the leader in autonomy data annotation, Kognic is built on a different principle: machines learn faster with human feedback—and that feedback must come from people treated with dignity and respect.

We require all workforce partners to adhere to strict ethical guidelines: fair minimum pay, proper working conditions, standard business schedules (including a 40-hour week with holiday time off), and reliable infrastructure like high-speed internet. With thousands of data labelers powering our customers' AI efforts through our platform, our goal is simple: elevate everyone in the AI value chain with fair pay, fair conditions, fair contracts, fair representation, and fair management.

But ethical practices aren't just the right thing to do—they're a competitive advantage. When annotators are treated well, compensated fairly, and work in sustainable conditions, the quality of their output improves. This directly impacts the safety and reliability of the autonomous systems our customers are building.

Our CEO & Co-Founder, Daniel Langkilde, has been vocal about this issue in recent articles. Read more at em360tech and AI Journal.

At Kognic, we're proving that the most productive annotation platform for autonomy data can also be the most ethical. Our combination of People, Platform, and Process delivers more annotated data per dollar—while ensuring that every person in our supply chain is treated with the respect they deserve.

Photo by Erol Ahmed on Unsplash