The Center for Law and Social Policy submitted comments to the White House Office of Science and Technology Policy (OSTP) in response to a request for information on worker surveillance and algorithmic management. Algorithmic management and surveillance are no longer novel forms of management — they are becoming the standard way of structuring businesses and shaping workers’ lives. Specifically, we outlined the compounding ways that algorithmic management lower job quality, specifically focusing on:

1. Pace-of-work and surveillance’s increasing effect on workers’ physical and mental health
2. Algorithmic management’s effects on scheduling and employee misclassification
3. Algorithmic management’s obstruction of the right to organize
4. Algorithmic management’s role in occupational segregation and workplace discrimination.

CLASP described the threats that algorithmic management and surveillance pose to the future of work and proposed policy and regulatory solutions, encouraging the federal government to summon its existing statutory power to create standards and practices to help prevent or mitigate those harms.

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