Alleged Price Collusion Among Canadian Landlords: The Role of RealPage's YieldStar in Rent Increases

January 1, 2017

Investigation uncovers allegations that RealPage’s YieldStar algorithm enabled Canadian landlords to coordinate rental pricing, utilizing sensitive market data. The software is accused of facilitating rent increases in non-rent-controlled units, potentially through collusion and artificial price inflation. Tenants report significant rent hikes, linking the increases to the landlords' use of this AI tool. This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM). Ready to help establish guardrails for safe and secure AI? JOIN US
Alleged deployer
woodbourne-capital-management-international-lp, tribute-communities, the-rockport-group, tas-impact, riocan-living, rhapsody-property-management-services-llp, gwl-realty-advisors-residential-inc., first-capital-real-estate-investment-trust, edgar-development-corp., dream-unlimited-corp., core-development-group-ltd., choice-properties-real-estate-investment-trust, canadian-property-managers-using-yieldstar
Alleged developer
realpage
Alleged harmed parties
tenants-in-canada, renters-in-canada, public-trust-in-the-rental-market, low-income-tenants-in-canada, cynthia-black

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/894

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

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