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