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Drivers and researchers warn of unstable pay, opaque algorithms and weak deactivation appeals
Summary
Gig workers and researchers told the committee that modern incentive and 'quest' pay structures push drivers into unpredictable, often unachievable thresholds, and urged regulatory guardrails for predictable wages, deactivation appeals and transparency in algorithmic assignments.
Drivers and labor researchers described how platform incentive structures and algorithmic trip assignment affect earnings and working conditions.
Isaac Wilkins, a gig worker and independent researcher, said pay schemes that rely on aggressive incentive quotas make earnings unpredictable and can force drivers into long hours chasing bonuses that are difficult to achieve in practice. "These incentive structures create unrealistic and highly stressful working conditions," Wilkins said, pointing to examples where bonus requirements are infeasible in the available time windows.
Katie Wells of the AI Now Institute cautioned on opaque algorithmic pricing and urged the council to revisit provisions of the 2014 law that exempt anonymized ride‑hail data from FOIA. She recommended transparency measures and local guardrails similar to those enacted in other cities to address algorithmic pricing and algorithmic wage effects.
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