Crowdcamp Report: Protecting Humans – Worker-Owned Cooperative Models for Training AI Systems
Artificial intelligence is widely expected to reduce the need for human labor in a variety of sectors . Workers on virtual labor marketplaces unknowingly accelerate this process by generating training data for artificial intelligence systems, putting themselves out of a job.
Models such as Universal Basic Income  have been proposed to deal with the potential fallout of job loss due to AI. We propose a new model where workers earn ownership of the AI systems they help to train, allowing them to draw a long-term royalty from a tool that replaces their labor . We discuss four central questions:
- How should we design the ownership relationship between workers and the AI system?
- How can teams of workers find and market AI systems worth building?
- How can workers fairly divide earnings from a model trained by multiple people?
- Do workers want to invest in AI systems they train?