Grab Tweaked Matchmaking Algorithm, Providing Preferential Treatment to Drivers Registered with Affiliated Car Rental Service

October 8, 2019

Grab Indonesia was penalized by the Indonesian Competition Commission (KPPU) for unfairly prioritizing drivers associated with the affiliated car rental service Teknologi Pengangkutan Indonesia (TPI). This bias allegedly manifested in Grab's matchmaking algorithm, providing more ride opportunities to drivers renting cars via TPI.

This incident highlights the importance of transparent and trustworthy AI practices. Join us at Project Cerebellum, where we strive for safe and secure AI governance by mapping, measuring, and managing AI incidents like this one through our HISPI Project Cerebellum TAIM (Trusted AI Model) system.

JOIN US

Matched TAIM controls

Suggested mapping from embedding similarity (not a formal assessment). Browse all TAIM controls

MEASURE 2.6 — similarity 0.651, rank 1. TAIM detail and related incidents →
MAP 4.1 — similarity 0.643, rank 2. TAIM detail and related incidents →
MAP 1.6 — similarity 0.639, rank 3. TAIM detail and related incidents →

Alleged deployer: grab
Alleged developer: grab
Alleged harmed parties: non-tpi-registered-grab-drivers, grab-drivers-in-indonesia, grab-drivers

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/272

Data source

Incident data is from the AI Incident Database (AIID).

When citing the database as a whole, please use:

McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.

Pre-print on arXiv · Database snapshots & citation guide

We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.