Fairwork exists to highlight the best and worst examples of how new technologies are being used in the workplace. Through research on digital labour platforms and artificial intelligence, our goal is that the future of work can be made up of better and fairer jobs.
By evaluating platforms and employers against measures of fairness, we hope to shape a fairer future of work for all.
The Fairwork project is based at the Oxford Internet Institute and the WZB Berlin Social Science Center.
Across all of our projects, we work closely with workers, platforms, advocates and policymakers to envision and build a fairer future of work.
The three sets of Fairwork Principles were developed through a collaborative process that reflects the insights of our international network and the voices of workers around the world. They provide a benchmark of fair work, for companies, workers, customers and policymakers.
Follow the project on Twitter, Facebook and Instagram, or get in touch if you’d like to learn more.
We are seeking to engage with organisations, whether current or potential users of platform labour, that would like to demonstrate their public commitment to fairer platform work.
Interested? Learn more about how to become a partner or supporter.
The Washington Post, 28 August 2023
While AI is often thought of as human-free machine learning, the technology actually relies on the labor-intensive efforts of a workforce spread across much of the Global South and often subject to exploitation.
rest of world, 24 August 2023
Major platform businesses regularly launch campaigns to spotlight women gig workers. But women say most companies have backtracked on gender-based incentives.
Tech Crunch, 21 August 2023
AI companies are using online labor to outsource the large amounts of hidden manual work needed to build their applications.
Business World, 20 August 2023
The conditions of gig workers at local ride-hailing and delivery platforms have shown no improvement since last year, according to a study, highlighting financial insecurity and safety risks due to limited protections.
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