There is growing awareness of the human work that enables AI systems, ranging from labeling data used to train AI systems to stepping in and resolving issues with these systems,
The most researched form of 'ghost work' is data labeling, where data being used to train machine learning models is tagged or reviewed by humans.
When AI systems fail, it will usually be a human that steps in to complete the work. There are concerns that 'ghost workers' in the AI supply chain may experience low pay and poor working conditions.
The gig economy, enabled by digital technologies like AI, is a growing segment of the Australian labor market.
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