Lucas and Luna unpack the growing use of AI in rental housing decisions, focusing on a 2025 class action against a major property management firm accused of using an opaque algorithm to screen tenants and recommend evictions. They walk through how the system worked, the data it used (including social media sentiment scores), and what the lawsuit revealed about lack of transparency and disparate impact on minority renters. The episode drills into one specific number: the 34 percent higher eviction filing rate for tenants flagged by the algorithm versus those manually reviewed. They discuss parallels with credit scoring and predictive policing, and close on what regulatory guardrails might look like.

#AIEthics #HousingBias #AlgorithmicEviction #TenantScreening #PropertyTech #PredictiveAlgorithms #FairHousing #ClassActionLawsuit #SocialMediaScoring #DisparateImpact #HousingJustice #TechRegulation #Transparency #DataPrivacy #RacialEquity #Technology #FexingoBusiness #BusinessPodcast

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