# kaal:claim:2834531-025

**Claim.** Contesting the safety rationale offered for restricting Uber, the authors argue that the two way rating system and the algorithmic matching of drivers and customers already provide an effective means of policing drivers and ensuring a safe ride.

**Type.** mechanism  **Support.** argued

**Holds when.**

- ride hailing platforms with reciprocal ratings and algorithmic matching

**Source quote.**

> The two–way rating system (drivers rate customers and customers rate drivers) and an algorithm–based system for matching up drivers and customers appear to offer an effective means of policing Uber drivers and ensuring a safe ride for customers.

**From.** Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, *Regulation Tomorrow What Happens When Technology Is Faster Than the Law* (2017), A. Facts Today, page 21

**Cite as.** Mark Fenwick, Wulf A. Kaal, Erik P. M. Vermeulen, Regulation Tomorrow What Happens When Technology Is Faster Than the Law (2017). SSRN: https://ssrn.com/abstract=2834531

**Verify.** sha256 of source PDF `9cd875ebdb0266febbdcdabfca5b9b9f0de1b7ad9e3d5a8a5971bdbe469323b7` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Fenwick%20et%20al.%20-%202017%20-%20Regulation%20Tomorrow%20What%20Happens%20When%20Technology%20Is%20Faster%20Than%20the%20Law.pdf

**Topics.** reputation, risk-and-incentives

**Keywords.** uber, reputation-systems, private-ordering, consumer-safety

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.
