Incident 272: Grab Tweaked Matchmaking Algorithm, Providing Preferential Treatment to Drivers Registered with Affiliated Car Rental Service

Description: Grab Indonesia was fined by the Indonesian Competition Commission (KPPU) for unfairly favoring drivers who rented cars via the Grab-affiliated company Teknologi Pengangkutan Indonesia (TPI), including offering more rides via their matchmaking algorithm.

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Alleged: Grab developed and deployed an AI system, which harmed non-TPI-registered Grab drivers , Grab drivers in Indonesia and Grab drivers.

Incident Stats

Incident ID
272
Report Count
3
Incident Date
2019-10-08
Editors
Khoa Lam
Applied Taxonomies
GMF, MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

1.1. Unfair discrimination and misrepresentation

Risk Domain

  1. Discrimination and Toxicity

Entity

AI

Timing

Post-deployment

Intent

Intentional

Grab accused of offering preferential treatment to drivers in its rental program by Indonesian competition watchdog
kr-asia.com · 2019

Grab Indonesia is in a legal battle with the country’s business competition supervisory commission (KPPU).

The Indonesian branch of ride-hailing platform Grab is accused of favoring drivers who rent cars via the Grab-affiliated company Tekn…

Indonesia competition watchdog accuses Grab of offering some drivers special treatment
techinasia.com · 2019

Grab Indonesia is in a legal battle with the country’s business competition supervisory commission (KPPU).

The Indonesian branch of ride-hailing platform Grab is accused of favoring drivers who rent cars via Grab-affiliated company Teknolog…

Grab fined $2m by Indonesia's competition watchdog over driver discrimination
dealstreetasia.com · 2020

The Indonesian operation of ride-hailing decacorn Grab has been fined Rp 30 billion ($2 million) by the country’s Business Competition Supervisory Commission (KPPU), after being deemed guilty of discrimination by giving preferential treatme…

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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