RealPage Algorithm Allegedly Inflates Rents and Reduces Competition in Housing Market

September 1, 2016

The YieldStar algorithm, used by RealPage, is under investigation for enabling landlords to potentially collude on rent increases through data sharing. On January 7, 2025, the U.S. Department of Justice filed an antitrust lawsuit against six major landlords, alleging they utilized the algorithm and other direct communication methods to suppress competition, impacting renters across the country. This incident underscores the importance of trustworthy AI governance and the role of HISPI Project Cerebellum TAIM in establishing guardrails for safe and secure AI practices.

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Matched TAIM controls

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

MAP 4.1 — similarity 0.640, rank 1. TAIM detail and related incidents →
MEASURE 2.10 — similarity 0.639, rank 2. TAIM detail and related incidents →
MAP 3.2 — similarity 0.636, rank 3. TAIM detail and related incidents →

Alleged deployer: realpage
Alleged developer: thoma-bravo, realpage, jeffrey-roper
Alleged harmed parties: renters

Source

Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/376

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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