A report from the Worker Info Exchange (WIE) slams “woefully inadequate levels of transparency” around the use of machine learning-driven monitoring and management tools in the gig economy.
“Weakly enforced” data protection laws have resulted in “woefully inadequate levels of transparency” around the use of algorithmic surveillance and decision-making systems in the gig economy, according to a report.
A study published by the Worker Info Exchange (WIE), a campaign group advocating workers’ rights to the data held on them by employers, warned that gig workers were being subjected to unfair profiling and discrimination by automated systems that aimed to “maintain exploitative power” over them.
The report, titled Managed by Bots: Data-Driven Exploitation in the Gig Economy, found that gig workers were routinely denied access to personal data held on them by companies that use machine-learning tools to allocate work and manage employees.
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