The article emphasizes the necessity for transparency in algorithmic decision-making that affects workers. It argues that companies should provide explanations for algorithmic decisions, allowing employees to understand and challenge those decisions if deemed unfair. Additionally, permitting workers and representatives to test algorithms can illuminate complex workings, reduce systemic discrimination, and empower workers against opaque systems. The need for accountability grows amidst rising instances of abuses from platforms, leaving workers uninformed about their roles and the management techniques imposed upon them.
Allowing workers, their representatives and public interest groups to test how the algorithms work will help to more deeply understand the impact on those affected by algorithms, including potential harms that they may cause.
Accompany all algorithmic decisions with an explanation of the most important reasons behind the decision and how they can be challenged, which should allow workers to challenge decisions that might be unfair or flawed.
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