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Chronicles

The story behind the story

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Uber, in partnership with Checkr, will now conduct driver background checks continuously using real-time data from Appriss

Kia Kokalitcheva / Axios :

Axios Kia Kokalitcheva

Context & Ripple Effects

Three months after Uber committed to annual criminal background checks for US drivers, it is moving past the periodic model entirely: with Checkr as the screening engine and Appriss supplying real-time justice data, new offenses can surface between re-screens rather than at the next annual cycle.

The move lands in a contested space. Lyft had already shifted to continuous checks amid rider-safety pressure, and Checkr — which runs screens for Uber, Lyft and other gig platforms — has faced roughly 80 lawsuits since 2015 over erroneous checks that disrupted workers' incomes, making check frequency an accuracy question as much as a safety one.

First-order effects

  • US Uber drivers now face potential deactivation the moment a disqualifying record appears in Appriss's real-time data, not months later at their next scheduled re-screen — raising both the safety bar and the stakes of any false positive.
  • Checkr and Appriss convert from vendors of one-time reports into always-on infrastructure providers, embedding them deeper into Uber's driver lifecycle.

Second-order effects

  • Rival platforms are pushed onto the same standard: Lyft's earlier continuous-check rollout shows the feature quickly becomes table stakes, forcing every rideshare player into recurring screening contracts rather than episodic ones.
  • Higher check frequency multiplies exposure to screening errors, sharpening the legal and reputational risk profile that Checkr's existing lawsuit volume already illustrates.

Third-order effects

  • If continuous monitoring becomes the norm, driver vetting consolidates around a few data-and-screening pipelines — a structure later reinforced when Uber and Lyft agreed to share deactivation data through HireRight, extending scrutiny across platforms.
  • Automated, always-on screening of gig workers points toward regulatory attention on accuracy and appeal rights, since a single bad record can cut off income instantly across multiple apps at once.

The trend: Gig-economy driver vetting is shifting from point-in-time background checks to continuous, data-fed monitoring as core platform safety infrastructure.