
Field research on algorithmic management of drivers.
Alex Rosenblat, a technology ethnographer, spent four years riding with and interviewing Uber drivers across North America and studying driver forums. The book reports what she found about algorithmic management.
Her central subject is the gap between the company's characterisation of drivers as independent entrepreneurs and the control the platform actually exercises. She documents the mechanisms: the algorithm assigns work without disclosing the destination until acceptance, penalises declining rides, sets prices unilaterally and changes them, uses surge pricing displays that do not always correspond to what drivers earn, deploys behavioural prompts to keep drivers working, and deactivates drivers on the basis of passenger ratings that reflect factors including race and gender bias which the company does not correct for.
Her argument is that this constitutes management by algorithm, exercising the control an employer exercises while carrying none of the obligations, and that the entrepreneurial framing shifts responsibility for outcomes onto drivers. She also covers the company's regulatory strategy, in which it entered markets illegally and mobilised its user base politically, and the information asymmetry that prevents drivers from calculating their actual earnings net of vehicle costs. Rosenblat is critical and the drivers she reaches are self-selected toward those with grievances. The documentation of the specific algorithmic control mechanisms is the book's contribution and is unavailable elsewhere in this detail.
Founders and investors building platforms with worker supply who need to understand algorithmic management and the regulatory exposure it creates.
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