There is nothing “artificial” about the immense amount of human labour that builds, supports, and maintains AI products and services. Many workers interact with AI systems in the workplace, and many others perform the critical data work that underpins the development of AI systems. Building on the tried and tested Fairwork methodology, Fairwork AI is investigating and evaluating the working conditions under such arrangements via a series of in-depth case studies.
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 the following policy reports and briefs:
AI for Fair Work Report
The AI for Fair Work Report (2022) presents the ten initial principles developed through the global tripartite consultation funded by the Global Partnership for Artificial Intelligence.
Work, Regulation, and AI Governance in the UK
This policy brief (2023) presents recommendations on the governance of AI in the workplace in the UK.
Generative AI, Jobs, and Policy Response
The research has also fed into a GPAI Generative AI Policy Brief (2023), which explores the future of work with respect to generative AI.
A Critique of Artificial Intelligence Ethics at Work
The article ‘Politics by Automatic Means? A Critique of AI Ethics at Work’ (2022), published in the Frontiers journal, outlines a critique of existing AI ethics in relation to work.
GPAI Fairwork AI Principles
The AI principles are used by Fairwork to assess the working conditions behind the development and deployment AI systems in the context of an employment relationship.