Fairwork | Fairwork AI
Using the Fairwork AI Principles, produced via a year-long global tripartite consultation with key stakeholders as part of a project funded by the Global Partnership on Artificial Intelligence, the project will identify the level of workplace fairness and advocate for improved conditions right across the global production networks; from warehouses managed by AI systems in the Global North to outsourcing companies providing data annotation and content moderation services in the Global South. Fairwork AI has produced a number of reports and policy briefs:
The first Fairwork AI report presents the results of a case study into Sama, a data annotation company that aims to have a positive social impact, which was conducted as part of the Global Partnership on Artificial Intelligence (GPAI) “AI for Fair Work” project. Across the world, there is increasing attention paid to the precarious situation of workers that are part of the AI supply chain. The Fairwork AI ratings presented in this report, which assess the working conditions of workers at Sama in different job roles and performing various tasks, show that fairness at work is not a given, but that by pointing to shortcomings and encouraging meaningful pro-worker change, substantial improvements can be achieved. The key improvements Sama made to the working conditions of its workers through their engagement with Fairwork are the focus of this report.
In partnership with the Global Partnership on Artificial Intelligence (GPAI), this project has re-assessed the OECD AI principles with a stronger emphasis on pay, working conditions, management, and representation. In applying them to two working environments (Amazon in the UK, and Sama, a data annotation firm in Kenya and Uganda), it has gathered empirical evidence of their practical use, which will be published in 2024. This report explores the methodology behind the project and highlights the multifaceted approach that must be taken to improve work in the face of AI.
